Total 777 Information Technology job vacancies

About the Role

We are seeking a talented and driven Data Engineer to join our team. The ideal candidate will be responsible for designing, developing, and maintaining robust data pipelines and architectures that support business analytics and data science initiatives. As a Data Engineer, you will work closely with data analysts, AI engineers, and other teams to ensure the efficient flow of data across the organization and enable data-driven decision-making. The role requires strong technical expertise in data systems, databases, and cloud infrastructure.

Responsibilities:

• Design, implement, and maintain scalable data pipelines to collect, process, and store large volumes of data from various sources.

• Develop and optimize ETL (Extract, Transform, Load) processes to integrate data from internal and external systems.

• Work with data analysts and other teams to ensure data is accessible and prepared for analysis and modelling.

• Manage and maintain databases, data lakes and warehouses, and other data storage systems.

• Collaborate with cross-functional teams to ensure data integrity, quality, and security.

• Implement data governance best practices to ensure data consistency and reliability across platforms.

• Optimize and troubleshoot data storage and query performance for large-scale datasets.

• Stay current with emerging data engineering technologies and methodologies to continuously improve processes and systems.

• Automate data collection and processing tasks where applicable to enhance operational efficiency.

Requirements:

• Bachelor’s or Master’s degree in Computer Science, Engineering, Information Technology, or a related field.

• 5 years’ experience in data engineering, architecture, or relevant software development.

• Proficiency in programming languages such as Python, Java, or Scala.

• Strong experience with SQL and NoSQL databases (e.g., MySQL, PostgreSQL, SQL Server, MongoDB).

• Expertise in data modelling, ETL processes, and data warehousing solutions.

• Experience with big data tools and frameworks (e.g., Hadoop, Spark, Hive, Kafka).

• Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes).

• Familiarity with data visualization tools (e.g., Power BI, Tableau) and business intelligence concepts.

• Strong problem-solving skills and the ability to work with large and complex datasets.

• Excellent communication skills and ability to work in a collaborative environment.

• Knowledge of AI/ML techniques and integration of AI/ML into production data pipelines.

• Knowledge of banking systems and financial data.

• Knowledge of data privacy, security, and compliance regulations.

By submitting your application, you have given your consent for us to collect, use and retain your data for a year as according to our prevailing data retention and PDPA policies. Should you have any enquiries on our data policy, please contact us at CustomerSupport@glbank.com

Description

Activate Interactive Pte Ltd (“Activate”) is a leading technology consultancy headquartered in Singapore with a presence in Malaysia and Indonesia. Our clients are empowered with quality, cost-effective, and impactful end-to-end application development, like mobile and web applications, and cloud technology that remove technology roadblocks and increase their business efficiency.

We believe in positively impacting the lives of people around us and the environment we live in through the use of technology. Hence, we are committed to providing a conducive environment for all employees to realise their full potential, who in turn have the opportunity to continuously drive innovation.

We are searching for our next team members to join our growing team.

If you love the idea of being part of a growing company with exciting prospects in mobile and web technologies that create positive impact on people’s lives, then we would love to hear from you.

Co-Development Business Unit is hiring for Data Engineer

You will work in Singapore Government Agencies

Internal Code: A26141

This is a fixed term contract role. The engagement is 1 year.

What will you do?

• Design, develop and deploy data tables, views and marts in data warehouses, operational data store, data lake and data virtualization.
• Perform data extraction, cleaning, transformation, and flow. Web scraping may be also a part of the work scope in data extraction.
• Design, build, launch and maintain efficient and reliable large-scale batch and real-time data pipelines with data processing frameworks.
• Integrate and collate data silos in a manner which is both scalable and compliant.
• Collaborate with Project Manager, Data Architect, Business Analysts, Frontend Developers, Designers and Data Analyst to build scalable data-driven products.
• Be responsible for developing backend APIs & working on databases to support the applications.
• Work in an Agile Environment that practices Continuous Integration and Delivery.
• Work closely with fellow developers through pair programming and code review process.

Requirements

What are we looking for?

• Proficient in general data cleaning and transformation (e.g. SQL, pandas, R, etc) to ensure data accuracy and consistency.
• Proficient in building ETL pipeline (eg. SQL Server Integration Services (SSIS), AWS Database Migration Services (DMS), Python, AWS Lambda, ECS Container task, Eventbridge, AWS Glue, Spring).
• Proficient in database design and various databases (e.g. SQL, PostgreSQL, AWS S3, Athena, mongodb, postgres/gis, mysql, sqlite, voltdb, cassandra, etc).
• Experience in cloud technologies such as GPC, GCC (i.e. AWS, Azure, Google Cloud).
• Experience and passion for data engineering in a big data environment using Cloud platforms such as GPC, GCC (i.e. AWS, Azure, Google Cloud).
• Experience with building production-grade data pipelines, ETL/ELT data integration.
• Knowledge about system design, data structure and algorithms.
• Familiar with data modelling, data access, and data storage infrastructure like Data Mart, Data Lake, Data Virtualisation and Data Warehouse for efficient storage and retrieval.
• Familiar with rest api and web requests/protocols in general.
• Familiar with big data frameworks and tools (eg. Hadoop, Spark, Kafka,RabbitMQ).
• Familiar with W3C Document Object Model and customized web scraping (e.g. BeautifulSoup, CasperJS, PhantomJS, Selenium, Nodejs, etc).
• Familiar with data governance policies, access control and security best practices.
• Comfortable in at least one scripting language (eg. SQL,Python).
• Comfortable in both windows and linux development environments.
• Interest in being the bridge between engineering and analytics.

Benefits

What do we offer in return?

• Competitive Compensation

Market competitive salary and variable performance bonus aligned to your skills, impact, and contribution.

• Benefits

Outpatient medical, specialist medical coverage and generous customisable flexi benefits, or flexi allowance; life and health insurance, thoughtful perks like special occasions “red packet” and CNY goodies, etc.

• Employee Wellness

Support for your physical, mental, and overall well-being through year-round initiatives.

• Growth & Development

Learning programmes, certification support, and a dedicated staff development budget. (We are a “SHRI 2025 Gold winner” in “Learning & Development; Coaching & Mentoring”)

• Career Progression

Structured career pathways that enable you to grow along a technical/domain expert track or a leadership track.

• Competency Framework

A structured and practical framework to support you to develop, perform, and succeed.

• Flexible Work Arrangement

Staff may choose to work flexi-place, flexi-time, and flexi-load based on existing framework

Why you'll love working with us?

If you are looking for opportunities to collaborate with leading industry experts and be surrounded by highly motivated and talented peers, we welcome you to join us. We provide all employees with equal opportunities to grow and develop with us. We believe your success is our success.

Activate Interactive Singapore is an equal opportunity employer. Employment decisions will be based on merit, qualifications and abilities. Activate Interactive Pte Ltd does not discriminate in employment opportunities or practices on the basis of race, colour, religion, gender, sexuality, national origin, age, disability, marital status or any other characteristics protected by law.

Protecting your privacy and the security of your data are longstanding top priorities for Activate Interactive Pte Ltd.

Your personal data will be processed for the purposes of managing Activate Interactive Pte Ltd’s recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results, and as is otherwise needed in the recruitment and hiring processes.

Please consult our Privacy Notice (https://www.activate.sg/privacy-policy) to know more about how we collect, use, and transfer the personal data of our candidates. Here you can find how you can request for access, correction and/or withdrawal of your Personal Data.

 Job Requirements:

·       Degree in Information Technology or equivalent.

·       Must have minimum 2-4 years of experience as Data Analyst

·       Must have hands-on experience in SQL, Athena and BigQuery

·       Must have experience in A/B Testing methodology and Statistical Analysis

·       Experience in any Data Visualization Tools – Looker,Tableau, Google Data Studio

·       Good to have experience in Product Analytics Tools (GA4,Firebase), Experimentation Platforms and Feature Flagging tools.

·       Good to have experience working in Media, Publishing or Subscription based products.

·       Excellent written and verbal communication skills

Key Responsibilities
- Survey Operations:
- Support Project Managers/Directors in achieving survey objectives
- Provide one-stop service to respondents for timely and accurate data collection
- Develop expertise in survey content, objectives, and deliverables
- Data Collection:
- Conduct outbound calls, email correspondence, and personal visits to respondents
- Accurately compile, record, and input survey data into the system
- Data Analytics:
- Leverage data analytics tools to validate and verify survey data quality
- Explore alternative data sources and apply imputation methods for incomplete data
- Data Analysis & Reporting:
- Analyze collected data and produce actionable reports with data visualization
- Present findings effectively to stakeholders
- Dissemination Strategy:
- Develop and execute strategies to raise awareness of statistical products
- Ensure products meet diverse needs of various societal segments

Requirements

- Proven experience in survey operations, data analytics, or a related field
- Strong understanding of survey content, objectives, and deliverables
- Excellent communication and interpersonal skills
- Ability to work independently and manage multiple priorities
- Strong analytical and problem-solving skills

We regretto inform that only shortlisted candidates will be notified.

By sending us your personal data and curriculum vitae (CV), you aredeemed to consent to PERSOL Singapore Pte Ltd and its local and overseassubsidiaries and affiliates to collect, use and disclose your personal data toprospective employers/companies based in any country for purposes ofevaluating  suitability for employment, conducting reference checks,administering employment related services, complying with Government’s healthadvisories and such other purposes stated in our privacy policy. Our fullprivacy policy is available at https://www.persolsingapore.com/policies.  Ifyou wish to withdraw your consent, please drop us an dataprotection@persolapac.com) to let usknow. Please feel free to contact us if you have any queries

PERSOL Singapore Pte Ltd •RCB No. 200007268E • EA License No. 01C4394• Reg No: R25158902 (Goh Bi LanAngelica)

Job Descriptions

As the Senior Data Analytics, you will be responsible for architecting the data ecosystem and
bridge the gap between raw engineering and business strategy. This position will design scalable
data models (Star/Nested Schema), orchestrate complex workflows using Airflow/Prefect, and
maintain a high-integrity Modern Data Stack via dbt and CI/CD. This position need to be proficient
in SQL and Python who can build intuitive self-service tools while translating technical complexity
into actionable business insights.

Job Responsibiities

• Design and implement robust data structures using Star Schema and Nested Schema methodologies to support complex business logic.
• Build and manage scalable data workflows using Airflow or Prefect, ensuring high availability and performance.
• Leverage dbt for transformation, Git for version control, and CI/CD pipelines to maintain a rigorous development lifecycle.
• Define and implement data quality tests (schema checks, null value alerts, and referential integrity) within the pipeline to catch upstream breaking changes.
• Create intuitive, high-impact dashboards in Tableau, Power BI, or Sigma that allow stakeholders to find answers independently.
• Implement monitoring tools to ensure data health, proactively identifying and resolving quality issues before they reach the business.
• Utilize Python (Pandas, NumPy) or R to perform complex, repeatable analyses that go beyond standard SQL.
• Act as the bridge between technical infrastructure and business strategy, translating complex data findings into actionable insights for non-technical leadership.

Working Arrangement: Hybrid, Full Time

Are you a Senior Data Analyst with a proven track record of delivering clear business impact through data? We’ve been looking for you!

The data team at Kape is building a world-class, data-driven culture to empower our employees with timely, accurate information to drive their decision making.  

In this role you will make a huge impact, influencing business decisions relating to millions of customers every day. You’ll work with great people on projects across the company, and play a pivotal role in supporting strategic business initiatives through data analysis, experimentation and development of metrics and dashboards.

What you’ll be doing

As a Senior Data Analyst, you will:

• Act as a strategic partner working in cross functional teams to grow the extent of data-driven planning and decision making in specific areas, specialising in Conversion Rate Optimization analytics.
• Turn data into insights, predictions, and actionable recommendations, delivering clear business value to your cross functional teams in their business challenges. 
• Deliver impactful insights and recommendations using compelling visualizations in user-friendly dashboard designs. 
• Help to design and analyze A/B experiments to improve conversion rate outcomes.
• Work in partnership with Data Engineers and Analytics Engineers to define data requirements, foundational datasets and ensure high-fidelity tracking.
• Contribute to the planning & execution of the Growth team within the organisation - as a group of people, as a partner within cross functional teams and as an enabler to support others to self-serve their data and insight needs.  

Who we’re looking for

If this sounds like you, please get in touch! 

Experience & expertise

• 5+ years in a web analytics, product analytics, or business intelligence role
• Proven track record of designing, executing and evaluating A/B experiments, with the ability to recommend next steps through iterative testing
• Outstanding analytical skills — from querying data to unearth insights, to creating compelling visualisations for ease of understanding
• Strong problem-solving skills with the ability to think beyond the obvious

Data mindset & ownership

• Passionate about data and using it to influence business decisions
• Detail-oriented in ensuring data quality and integrity across everything you present
• Self-starter with a strong sense of ownership — you bring insights to life, not just report them
• Comfortable navigating ambiguity and able to lead complex, loosely-defined projects from first principles through to a clear outcome

Business partnership

• Adept at integrating with business teams to truly understand their challenges and define how data can help — as early as possible
• Strong business acumen with a business-first approach to problem framing
• Track record of delivering clear, actionable business value from data — fit for purpose, not just technically impressive

Communication & storytelling

• Excellent communicator who uses storytelling to make insights land at the business level
• Able to connect data narratives to commercial outcomes in a way that resonates across teams
• Fluent in English
• Thrives working alongside intelligent, passionate people

Technical skills

• High proficiency in SQL and/or other querying languages
• Hands-on experience in Tableau or equivalent data visualisation tools
• Comfortable working with AI tools and incorporating them into your workflow to move faster and think sharper

Nice to have, but not required 

• You are comfortable talking about technology and communicating with developers on technical topics.
• A desire to elevate the team by mentoring junior analysts and fostering a culture of peer review and best practices.

What we can offer you

• Challenging work in a fun and collaborative environment
• Smart, passionate, and intelligent colleagues
• Attractive compensation and time-off benefits
• Spacious open-concept and centrally located offices
• Financially successful and profitable company
• Full-time employment with flexible working hours
• Fully stocked pantry with healthy foods and fresh fruit
• Team lunches and company events every quarter
• Multicultural teams represented by 30+ nationalities

Job Description

1.     Perform detailed cooling load calculations and thermal analysis for data halls, including rack-level heat load assessments.

2.     Design, review, and optimize ACMV systems, including:

- CRAC/CRAH units

- Chilled water systems

- Cooling towers and pumps

3.     Lead and support cooling system upgrades and retrofits, ensuring minimal disruption to live data center operations.

4.     Evaluate system performance using KPIs such as:

o  Power Usage Effectiveness

o  System Efficiency

5.     Conduct energy optimization studies and recommend improvements (e.g., air flow management, containment strategies, setpoint optimization).

6.     Support capacity planning and future expansion work based on IT load growth.

7.     Review engineering drawings, method statements, and ensure compliance with design intent and operational requirements.

8.     Work closely with operations teams to implement EOPs/MOPs for mechanical system interventions.

9.     Participate in risk assessments, failure mode analysis, and incident investigations related to cooling systems.

10.  Ensure all works comply with relevant standards and regulatory requirements in Singapore

Required Qualifications
1.     Bachelor’s Degree / Degree in Mechanical Engineering or related field

2.     Additional certifications relevant to theindustry is an added advantage 

3.     1-2 years’ experience maintainingelectrical, mechanical, fire protection system in a data centre environment

4.     Experience and knowledge of MEP equipmentsuch as CAHU, CRAC, ACMV systems, pumps, cooling towers, UPS, generators, etc.

5.     Strong technical expertise in thermalmanagement, cooling load calculations, and energy efficiency improvements,supporting design and upgrading of cooling systems in data centre environments.

6.     Strong problem-solving abilities,communication skills, and the ability to work independently and as part of ateam

7.     Strong written and verbal communicationskills

8.     Proficient in Computer skills eg.Microsoft office, google emails , docs etc.

9.     Shift work & Standby Duty is required(Shift allowance available)

Responsibilities:

• Data Infrastructure: Build, implement, and maintain scalable data pipelines and storage architectures.
• Data Quality: Maintain strong data integrity by ensuring reliability, consistency, and accuracy across all data processes.
• Performance Optimization: Enhance system efficiency by tuning data processing workflows and improving large-scale performance.
• Process Improvement & Mentoring: Strengthen data engineering practices while providing guidance and support to junior engineers.
• Cross-Functional Collaboration: Partner with business analysts, data scientists, and backend teams to deliver timely and actionable data solutions.

Qualifications:

• 5+ years’ experience in data engineering or backend roles, with strong programming skills in Python or Java/Scala.
• Hands-on experience with big data tools: Spark, Flink, Kafka, Airflow, and cloud platforms (AWS, GCP, Azure); proficient in SQL.
• Skilled in designing and maintaining data models, warehouses, and ETL/ELT pipelines for scalable, reliable systems.
• Knowledgeable in data quality, governance, security, and compliance best practices.

We regret only shortlisted candidates will be contacted. All applications will be handled confidentially. By submitting your application, you agree to the collection, use, retention, and disclosure of your personal information to prospective employers.

Wecruit Pte Ltd
EA License No: 20C0270
EA Personnel: Nyon Hock Sen (Aden)
EA Personnel Reg No: R24124070

At American Express, our mission is to elevate the customer experience daily by delivering unparalleled products and services. We are seeking a highly motivated individual with a solid background in software engineering, machine learning or/and AI. This role is pivotal in advancing our data science capabilities to bolster enterprise-wide initiatives, in collaboration with our Technology, Marketing, Servicing, and Risk departments.

Role Overview:

As an Analyst, AI/ML, you will play a crucial role in the development and implementation of cutting-edge Generative AI solutions that address significant business challenges. This role focusses on hands-on implementation, rapid prototyping, and collaboration with cross-functional teams to deliver innovative solutions that address real business challenges. Your contributions will directly impact our strategic goals, driving innovation and excellence in customer interactions.

Responsibilities

• Develop and implement Proof of Concepts (PoCs) prototypes for AI/ML and Generative AI solutions, ensuring alignment with business objectives.
• Write clean, efficient, and well-documented code for data processing, model training, and deployment.
• Collaborate with the Technology team to integrate solutions into our existing systems and platforms.
• Conduct experiments to evaluate model performance and optimize algorithms for scalability.
• Stay abreast of the latest trends in AI/ML and actively share knowledge and insights to contribute to the collective growth and technical proficiency of the team.
• Collaborate with the Technology team to integrate solutions into our existing systems and platforms, enhancing functionality and user engagement.
• Actively participate in technical discussions and forums across Amex

Qualifications

• Advanced degree (Master/ PhD) in quantitative discipline (e.g., Computer Science, Engineering, Statistics, Mathematics).
• Strong programming skills in at least one language (Python, Java, C++, etc.)
• Familiarity with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn) and data processing libraries
• Extensive experience in machine learning, NLP and Generative AI, with a demonstrated ability to build scalable prototypes from inception to solution.
• Proven expertise in applying deep learning and NLP techniques to solve complex problems, with a portfolio of projects on real-world problems.
• Solid understanding of Large Language Models and practical experience with Generative AI
• Data processing skills such as SQL and BigQuery is a plus.
• Strong ability to translate real-world problems to data science problems.
• Excellent communication and collaboration skills, with the ability to collaborate effectively with both technical and non-technical teams.

Key Responsibilities

·       Design, develop, and maintain software applications that support customizable data analysis and AI-driven functionalities.

·       Build and enhance an Amoeba-based modular system that enables flexible configuration of data structures, workflows, and analytical components.

·       Develop and maintain data processing and transformation pipelines to support analytical and AI use cases.

·       Implement, integrate, and optimize AI and machine learning models for data analysis, automation, and intelligent insights.

·       Develop and maintain web-based applications and websites, ensuring reliability, performance, and security.

·       Create, document, and manage technical libraries and reusable components, including AI-enabled APIs and functions.

·       Collaborate with cross-functional teams to gather requirements and translate them into technical solutions.

·       Conduct testing, debugging, and performance optimization throughout the software development lifecycle.

·       Ensure code quality, maintain ability, and compliance with development standards and best practices.

·       Maintain technical documentation and participate in code reviews and system enhancements.

Required Qualifications

·       Bachelor’s degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience.

·       Proficiency in one or more programming languages such as Python, Java, JavaScript, C++, or similar.

·       Strong understanding of data processing, data analytics, and system integration.

·       Experience with AI and machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn, or equivalent).

·       Experience in web application development (frontend and backend).

·       Familiarity with modular, microservices, or plugin-based system architectures.

·       Knowledge of software version control systems (e.g., Git).

About the Role

Key Responsibilities

• Develop and continuously iterate the data platform
• Build and maintain data pipelines for user behavior data processing based on Flink, ensuring the completeness, accuracy, and stability of tracking data.
• Design and maintain the user tagging system, including tag generation, quality validation, and tag governance.
• Build and maintain data application pipelines to support downstream data needs from product, operations, analytics, and algorithm teams, including behavior and user tag data.
• Collaborate closely with product managers, data analysts, and business teams to drive the application of user data in refined operations and product optimization.
• Continuously improve the performance, observability, maintainability, and scalability of the data application pipeline.

Qualifications

• Bachelor’s degree or above in Computer Science, Software Engineering, Data Science, or related fields. At least 5 years of experience in complex system development.
• Proficient in Java, Python, and SQL for data application development or data processing.
• Familiar with the Apache Flink framework and experienced in real-time or near real-time processing of user behavior data.
• Solid understanding of event tracking systems, including event definitions, attributes, user ID mapping, and tracking data flow.
• Familiar with common user tag categories (e.g., behavioral tags, attribute tags, statistical tags) and their production mechanisms.
• Experience with relational databases (RDBMS), NoSQL databases, and analytical data systems (OLAP), such as MySQL, Redis, HBase, Doris, and ClickHouse.
• Strong problem-solving and troubleshooting skills, with the ability to translate business requirements into data processing solutions and collaborate effectively across teams.
• Able to use Chinese and English as dailying working language to work with chinese-speaking stakeholders

JOB DESCRIPTION

As a Data Scientist (Associate Consultant), you will use data science and Generative AI techniques to develop models and products that support a range of EDB divisions across investment promotion, industry development and corporate functions. You will have the opportunity to partner closely with key stakeholders to identify business challenges, translate requirements into technical solutions, and deliver AI and Machine Learning products that drive measurable outcomes.

Your roles and responsibilities include:

• Collaborating with business users to understand their key priorities and use cases; proposing and developing solutions using data science and/or Generative AI techniques to drive business value
• Researching emerging AI/data science techniques and identifying relevant ones for EDB to explore and adopt (e.g. Agentic, LLM, Predictive, Fraud/Anomaly Detection, Text Analytics, Customer Segmentation)
• Data wrangling & analysis - preprocessing, cleaning and feature engineering
• Supporting the daily operations and maintenance of deployed data science models and products, including Assistants on PAIR / AIBots
• Developing backend APIs and services to support AI model deployment and integration
• Building frontend interfaces and user experiences for AI-powered applications
• Documenting changes to existing products
• Reviewing and implementing fixes for reported security vulnerabilities;

JOB REQUIREMENTS

To perform this role, you must have/ be:

• Minimum of Bachelor’s Degree in Computer Science, Computer Engineering, Machine Learning / Data Science / AI or related disciplines;
• Able to understand and apply a range of AI/ML  techniques for regression and classification
• Familiar with popular python packages ( e.g. pandas, matplotlib, scikit-learn, XGBoost, NLTK, spaCy )
• Understanding of LLM concepts (e.g. context windows, embeddings, chunking, token management) and architectures (e.g. RAG)
• Experience with context engineering techniques and prompt optimization strategies
• Proficient in git, SQL
• Proficient in Business Intelligence tools (e.g. Tableau, Qlik, MS PowerBI, Microstrategy)

Bonus skillsets which will allow you to excel in this role include:

• Proficient in modern programming languages (e.g. typescript, C#)
• Experience in cloud platform and services preferably in AWS
• Experience in Docker/Kubernetes
• Experience with web frameworks and full-stack development, including backend frameworks (e.g. FastAPI, Flask, Express.js) and RESTful API development, and frontend technologies (e.g. React, Vue.js, HTML/CSS, TypeScript)
• Experience with LLM frameworks (e.g. LangChain, LlamaIndex, Hugging Face Transformers)
• Knowledge of vector databases and embedding techniques (e.g. Pinecone, Chroma, FAISS)
• Understanding of AI agent frameworks and multi-agent systems
• Strong presentation skills and ability to explain technical concepts clearly to a non-technical audience
• Proficient in statistical software tools (e.g. R, SAS)

KeyResponsibilities

• Lead and develop a team of data centre engineers and technicians, ensuring effective 24/7 operations.
• Oversee day-to-day data centre operations, ensuring high uptime and service availability.
• Manage critical infrastructure including UPS, generators, cooling systems, and BMS.
• Plan and coordinate maintenance activities, upgrades, and capacity expansion.
• Monitor capacity utilisation, optimise energy efficiency, and control operational costs.
• Handle incident management, including root cause analysis and implementation of corrective actions.
• Manage vendors and contractors, ensuring performance standards and service delivery.
• Oversee preventive and corrective maintenance across electrical, mechanical, and IT systems.
• Ensure compliance with safety, regulatory, and industry standards.
• Act as the main point of contact for stakeholders and provide regular operational updates.

Requirements

• Degree in Engineering, Information Technology, or a related field.
• Minimum 8 years of experience in data centre operations, including at least 5 years in a leadership role.
• Strong understanding of data centre infrastructure, including electrical, mechanical, and IT systems.
• Experience in data centre setup, operations, and infrastructure management.
• Familiarity with industry standards (e.g., ISO 27001).
• Strong leadership, communication, and stakeholder management skills.
• Experience in budgeting, planning, and continuous improvement initiatives.
  
  HOW TO APPLY:
• Interested applicants, please click on “Apply Now” and provide the below details in your resume.
• We regret only shortlisted candidates will be notified.
• Important Note: Trust Recruit Pte Ltd is committed to safeguarding your personal data in accordance with the Personal Data Protection Act (PDPA).
• Please read our privacy statement on our corporate website www.trustrecruit.com.sg.
• Trust Recruit Pte Ltd
• EA License No: 19C9950
• EA Personnel: Ang Ren Jing (Dino)
• EA Personnel Reg No: R25146829R

Responsibilities:

• Operate as the technical partner to Growth, Marketing, Sales and Data Science leaders to define and implement Airwallex’s growth strategy
• Mentor the team in applying a variety of data science techniques—root-cause analysis, statistical modeling, and experimentation—to identify opportunities and drive product-led growth (acquisition, activation, retention, reactivation)
• Establish insight-driven approaches to address key business problems and drive business impact
• Build scalable measurement frameworks that enable consistent, data-driven decision-making across teams and inform growth strategy
• Clearly and persuasively communicate data insights and recommendations to technical and non-technical audiences, ensuring findings influence stakeholders
• Translate open-ended business problems into clearly defined data science initiatives for the team to implement

Qualifications

• 5+ years industry experience and a degree in a quantitative field (e.g. Statistics, Engineering, Sciences, Computer Science, Economics). Advanced degree (PhD or MS) preferred
• Excellent communication and interpersonal skills; proven ability to influence strategy in high-growth environments
• Demonstrated experience applying data science to drive growth initiatives with concrete impact
• Strong skills in SQL and Python/R; experience with data modeling a plus
• Experience in technology, financial services and/or a high growth environment is advantageous

Location: Raffles Place

Duration: May - July

Working Hours: Mon - Fri

Salary: Up to $15/hour

Job Responsibilities:

• Clean, update, and de-duplicate contact and company records in HubSpot
• Perform accurate data entry and bulk uploads into HubSpot
• Validate data completeness, accuracy, and consistency across records
• Flag data gaps, inconsistencies, or system issues to the team
• Support basic reporting and data extraction when required
• Assist in processing membership applications and updates
• Coordinate with internal teams on incomplete or unclear submissions
• Maintain proper data documentation and audit trails
• Provide administrative support to the team as required

Job Requirements:

• Comfortable working with CRM systems (HubSpot preferred)
• Basic data management skills, including data cleaning, validation, and standardisation
• Strong attention to detail and high level of data accuracy
• Basic proficiency in Excel (e.g. filtering, sorting, simple formulas)
• Able to follow structured processes, data standards, and governance guidelines
• Able to manage repetitive data tasks with consistency and accuracy
• Good organisational, documentation, and follow-up skills
• Prior administrative, data-entry, or data support experience preferred

Ally
The Outsourcing Team
Recruit Express Pte Ltd
EA: 99C4599

· Azure Data Factory (ADF) – metadata-driven pipelines

· Basic Cloudera working knowledge

· Cloudera → Cloud migration (mandatory)

· Large-volume historical data migration

· Azure Databricks (Spark / SQL)

· Data reconciliation and audit sign-off

· Framework-based data ingestion / migration

Good-to-Have

· Azure Data Box–based migration experience

· Bulk history extraction using Data Box

· Landing data into ADLS Gen2

· Processing history in Databricks (Delta)

· Orchestrating incrementals via ADF

Based in Singapore, the Data ScienceIntern will develop and apply machine learning and computer vision techniquesto extract actionable insights from data collected by inspection and NDT tools,helping to advance the company's software products and solutions.

What will you do

• Develop tools to process the high volume of information collected by cameras and NDTtools (e.g Ground Penetrating Radar)
• Uncover hidden data correlations in aforementioned data (e.g. presence of corrosion vs concrete cover vs geographical location)
• Improve existing software tools using data science

1. Discover, learn and apply state-of-the-art Machine Learning techniques to InspectionTech problems.
2. Leverage data science techniques to improve customer insights in the InspectionTech space.

• Support project lifecycles from brainstorming to production
• Contribute to developing cutting-edge software and solutions that add value to the company and its customers.

What do we expect

• Pursuing a bachelor’s degree in Computer Science or related fields.
• Knowledge in Machine Learning libraries such as PyTorch.
• Knowledge in Computer Vision libraries such as OpenCV.
• Knowledge in Python and neural network frameworks (Pytorch, TensorFlow).

Role Overview

The AI/ML Specialist will play a pivotal role in designing and implementing advanced AI solutions that address complex business challenges. Collaborating with cross-functional teams, this role will leverage expertise in machine learning, deep learning, and emerging AI technologies to enhance product offerings, optimize operations, and drive innovation across customer experiences.

Key Responsibilities

• Apply AI/ML expertise to build scalable solutions in areas such as Generative AI, personalization, image and speech recognition, NLP, recommendation systems, and time series forecasting.
• Lead the full solution lifecycle: problem identification, data collection, analysis, modeling, validation, and deployment of production-grade systems.
• Research and experiment with emerging academic ideas to solve new business problems and improve existing solutions.
• Define and implement deployment strategies for AI solutions in cloud infrastructure at scale.
• Drive technical design reviews, ensuring high-quality, maintainable code and integration with CI/CD pipelines.
• Provide mentorship to junior team members and foster technical excellence across the team.
• Actively contribute to business and technical forums, influencing strategy and innovation.

Qualifications

• Advanced degree in Computer Science, Engineering, Statistics, Mathematics, or related quantitative discipline
• Proven track record of impactful research, with publications or patents a plus.
• Extensive experience building and deploying sophisticated AI/ML solutions at scale.
• Expertise in one or more fields: Generative AI, Deep Learning, NLP, Reinforcement Learning, Recommendation Systems, Bayesian Inference, or advanced time series forecasting.
• Hands-on experience with open-source tools and frameworks, including Airflow, Kubeflow, Docker, Kubernetes, MLflow, TensorFlow, PyTorch, Scikit-learn, and feature stores.
• Good programming skills in Python, Java, Scala, or Julia, with proficiency in modern IDEs and ML libraries.
• Solid understanding of agile methodologies, with experience leading projects in dynamic environments.
• Excellent communication and leadership skills, with the ability to collaborate across technical and non-technical teams.
• Experience with cloud platforms (GCP, AWS) is a plus.

Thank you for your interest!

We respect your privacy andall communication will be treated with confidentiality. If you wish to knowmore about this position or explore other roles, please prepare your updatedprofile and get in touch with our consultant at  cristina.malijan@manpower.com.sg

CristinaMalabuyoc Malijan EA License No. 02C3423 Personnel Registration No. R1111547

Please note that your response to this advertisement andcommunications with us pursuant to this advertisement will constitute informedconsent to the collection, use and/or disclosure of personal data byManpowerGroup Singapore for the purpose of carrying out its business, incompliance with the relevant provisions of the Personal Data Protection Act2012. To learn more about ManpowerGroup's Global Privacy Policy, please visithttps://www.manpower.com.sg/privacy-policy

• Analyse sales data and market trends to support business decisions

• Maintain databases and ensure data accuracy (Excel, SAP, internal systems)

• Prepare reports, dashboards, and track key performance metrics

• Provide data-driven insights to support sales strategies

• Assist in B2B marketing campaigns and lead generation activities

• Monitor and evaluate campaign performance for optimisation

• Collaborate with sales & marketing teams on business initiatives

• Support marketing materials, promotions, and ad hoc duties
  

Requirements:

• Min Bachelor Degree in Business/Marketing/Engineering

• Training Provided

• 5 days work week (Mon to Fri 8.15am - 5.30pm)

• Location: Kallang

• Salary: Up to $3500

• Able to start work within short notice
  

How to apply:

Interested applicants kindly state your expected salary, last drawn salary and starting date.

We regret to inform that only shortlisted candidates will be notified.

Log on to www.e-cruitteam.com.sg for more job opportunities!

EA Personnel: Teo Kai Xin, Joey
EA Reg ID: R23114229
EA Licence No.:19C9603

Job description

A problem isn’t truly solved until it’s solved for all. That’s why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you’ll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You’ll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers. 

Qualifications

Job responsibilities

• Serve as a high-level individual contributor and thought leader, partnering with App Ads engineering and product leads to facilitate strategic, data-driven decision-making and facilitate cross-functional knowledge sharing.
• Conduct sophisticated quantitative analysis of performance metrics and market dynamics to drive business outcomes and long term product strategy that align with KPIs.
• Lead the development of advanced experimentation and measurement frameworks to design business-critical tests that deepen understanding of the ads ecosystem and refine product roadmaps.
• Design comprehensive data tracking plans and infrastructure for new feature launches, performing deep dives into session-level trends to prioritize engineering resources and identify growth opportunities.
• Build centralized business metric hubs to monitor key performance drivers, providing early intelligence on competitive risks, market opportunities, and the overall health of the App Ads business.

Minimum qualifications

• Bachelor's degree in a technical field, or equivalent practical experience. 
• 8 years of experience in program management.
• Experience with the software development life cycle and managing engineering programs.
• Experience with designing and executing A/B testing, incrementality testing, or advanced measurement frameworks and statistical modeling.

Preferred qualifications

• Experience leading large-scale, complex programs to deliver innovative and high-impact solutions.
• Experience in software programming or with scripting languages (R, SQL, Python, etc.).
• Experience applying advanced statistical modeling and quantitative methods to drive data-informed decision-making.
• Experience translating business challenges into structured analysis.
• Experience with the digital advertising ecosystem.
• Strong stakeholder management and communication skills.

Product area

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Job description

The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google’s global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners.

Additional job description

In this role, you will work with customers on projects to transform their business with data. You will provide consulting, solution design, and technical program management capabilities to customer engagements while guiding customer executives and technical stakeholders on project related decisions. You will serve as a liaison between the customers and product teams to drive product excellence and adoption. You will also work with Google partners currently servicing accounts to manage programs, deliver consulting services, and provide technical guidance.

Qualifications

Job responsibilities

• Work with customer technical leads, client executives, and partners to manage and deliver implementations of cloud solutions. Become a trusted advisor to decision makers throughout the engagement.
• Work with internal specialists, product and engineering teams to package best practices and lessons learned into thought leadership, methodologies, and published assets.
• Interact with business, partners, and customer technical stakeholders to manage project scope, priorities, deliverables, risks/issues, and timelines for client outcomes.
• Propose solution architectures and manage the deployment of cloud based databases, big data, and analytics solutions according to customer requirements and implement best practices.

Minimum qualifications

• Bachelor's degree in Computer Science or a related technical field, or equivalent practical experience.
• 5 years of experience with customer-facing designing and deploying distributed data processing systems with one or more technologies.
• Experience with SQL databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., Mongo, Cassandra, DynamoDB, etc.).
• Experience with data modeling techniques and methodologies for traditional Online Analytical Processing or Online Transaction Processing (OLAP/OLTP) databases and modern data warehouses

Preferred qualifications

• 5 years of experience in managing technical client service.
• Experience with reading software code in one or more languages such as Java, Python, NodeJS, Golang, JavaScript.
• Experience in devising migration approaches, and migrating on-premise data processing systems to Cloud.
• Experience with designing and deploying distributed data processing systems with one or more technologies: SQL Server, MySQL, PostgreSQL, MongoDB, Cassandra, Redis, Hadoop, Spark, Flink, Kafka, Druid, Hive, HBase, Vertica, Netezza or Teradata.
• Knowledge of building and operationalizing data pipelines.

Role Overview

The Collibra Specialist is responsible for implementing and operationalizing enterprise data governance using the Collibra Data Intelligence Platform and Collibra Data Quality tools. This role focuses on metadata management, data lineage, and data quality to support regulatory compliance (e.g., BCBS 239) and business objectives. The position works closely with Data Stewards, Data Owners, IT, and business teams to drive effective data governance practices across the organization.

Key Responsibilities

Data Governance & Compliance

• Implement and operationalize the enterprise Data Governance Framework aligned with regulatory requirements and business goals.
• Ensure compliance with regulatory standards such as BCBS 239 by enabling data lineage, traceability, and data quality controls.
• Enforce data governance policies and ensure adherence across business and technology teams.

Collibra Platform Management

• Configure and manage the Collibra Data Intelligence Platform, including communities, domains, assets, roles, and permissions.
• Maintain and enhance metadata repositories and business glossaries.
• Develop and manage workflows supporting governance processes such as data issue management, stewardship, and approvals.

Metadata, Lineage & Data Quality

• Design, develop, and maintain end-to-end data lineage across systems.
• Define and implement data quality rules and monitoring workflows using Collibra Data Quality tools.
• Align data quality processes with regulatory and internal governance standards.

Integration & Technical Enablement

• Integrate Collibra with enterprise systems such as Azure Data Platform, Vermeg, Moody’s Risk Confidence, and Alteryx.
• Utilize APIs and data pipelines for metadata ingestion and synchronization.
• Apply strong SQL skills for data analysis and validation.

Reporting & Insights

• Develop dashboards and reports within Collibra to track data quality metrics and governance KPIs.
• Provide actionable insights to stakeholders for continuous improvement of data governance practices.

Stakeholder Collaboration & Training

• Collaborate with IT and business units to enable effective adoption of data governance processes.
• Conduct training sessions and provide guidance to Data Stewards and stakeholders on Collibra usage.

Support & Continuous Improvement

• Troubleshoot and resolve platform-related issues.
• Stay updated with Collibra releases and recommend enhancements and upgrades.

Required Qualifications

• Bachelor’s degree in Computer Science, Data Management, or a related field.
• Minimum 8 years of experience in data governance roles.
• At least 3+ years of hands-on experience with Collibra Data Intelligence Platform and Collibra Data Quality.
• Strong understanding of Collibra architecture, data model, and APIs.
• Experience configuring workflows, assets, domains, communities, and data quality rules in Collibra.
• Strong SQL skills for data analysis and manipulation.

Preferred Qualifications

• Collibra certification (mandatory).
• Additional certifications such as CDMP or CIMP.
• Experience in banking or financial services.
• Knowledge of regulatory frameworks such as BCBS 239, IFRS9, and MAS reporting.
• Experience integrating Collibra with data platforms such as Azure Data Lake or similar environments.

Job description

Like Google's own ambitions, the work of a Software Engineer goes way beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of engineers. You not only optimize your own code but make sure engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way.

With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally.

Additional job description

As the Software Engineering Manager for Enterprise Data Protection in Singapore, you will be the foundational lead for a new security team. You will act as a technical leader to hire and manage security engineers to establish our security engineering function. You will coordinate with peers in Enterprise Data Protection's software engineering team to achieve our risk reduction goals. You will lead and have the ability to drive security engineering outcomes, build and lead effective security teams, and foster a collaborative environment to achieve collective goals.

Qualifications

Job responsibilities

• Lead a team of software engineers to implement holistic security controls across all systems at Google that process or store our intellectual property.
• Work with a wide variety of cross-functional roles within Core or Privacy, Safety & Security (PSS) and with stakeholders in our Product Areas (PAs) to implement controls that prevent or reduce the risk of data ex-filtration events.
• Define the security requirements for the next generation of security controls that are context aware and help mitigate the risk of Google's increased use of agentic AI.
• Partner with security engineers within Enterprise Data Protection to define requirements for the systems and infrastructure needed to achieve our data protection goals, including AI-based classification systems.
• Build a team in Singapore that has excellent culture and engineering standards.

Minimum qualifications

• Bachelor's degree or equivalent practical experience.
• 8 years of experience programming in Java, Python, Golang, C++ or equivalent codebases.
• 3 years of experience building software for data privacy or security (e.g., identity and access management).
• 3 years of experience in a technical leadership role.
• 2 years of experience in a people management or team leadership role.

Preferred qualifications

• Master's degree or PhD in Computer Science or a related technical field.
• Experience with building, deploying and using automation for security workflows, including both AI-driven and traditional automation tools.
• Experience in managing an engineering team, with knowledge of security domains, particularly in threat modeling and data protection controls.
• Ability to manage a phased program rollout, transitioning operational ownership and scaling technical infrastructure.
• Ability to partner with global stakeholders to align team goals with broader organizational objectives.

Product area

Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.

Job description

Google isn't just a software company. The Hardware Operations team is responsible for monitoring the state-of-the-art physical infrastructure behind Google's powerful search technology. As an Operations Technician, you'll install, configure, test, troubleshoot and maintain hardware (like servers and its components) and server software (like Google's Linux cluster). You'll also take on the configuration of more complex components such as networks, routers, hubs, bridges, switches and networking protocols. You'll participate in or lead small project teams on larger installations and develop project contingency plans. A typical day involves manual movement and installation of racks, and while it can sometimes be physically demanding, you are excited to work with infrastructure that is at the cutting-edge of computer technology.

Qualifications

Job responsibilities

• Deploy and operate new data center infrastructure across projects or functions.
• Report issues and follow data center procedures to troubleshoot and diagnose issues with equipment or infrastructure as they arise, and apply the resources needed to resolve identified issues.
• Maintain the security and integrity of data, track various forms of media to check for standard data security issues (e.g., data was not properly erased) handled in accordance with Google security standards.
• Disassemble specific equipment that has reached its end-of-life via part replacement or maintenance, in a team setting.
• Repair, fix, and perform preventative maintenance on equipment, servers, machines, or infrastructure based on identified issues with defined solutions and limited guidance.

Minimum qualifications

• Experience with assembly of mechanical or electrical systems, or performing component-level repairs and troubleshooting on technical equipment.
• Experience diagnosing and troubleshooting one of the following: operating systems, computer/server hardware, or networking protocols.
• Ability to lift/move 50lb (23kg) of equipment and ability to exert yourself physically over extended periods of time, including frequent bending, kneeling, climbing, pushing/pulling and lifting.
• Ability to work non-standard hours, including working weekends, night shifts, holidays and on shift-based schedules as required.

Preferred qualifications

• Bachelor's degree or equivalent practical experience.
• 2 years of experience diagnosing and troubleshooting one of the following: operating systems and computer/server hardware or networking protocols.
• Experience in Linux Professional Institute Certificate or equivalent working with Linux (Red Hat, Slackware, Fedora, SUSE, Ubuntu, Debian, Gentoo) or Unix (Solaris, AIX, HP-UX, BSD) or another similar operating system.
• Experience with performing component-level repairs and troubleshooting on IT equipment or in a similar role (e.g., Systems Administration, Network Deployment Engineer, Help Desk Technician, etc).
• Experience working within a data center or network operation center environment.
• Experience in project leadership and management.

The Opportunity

Join a team building the data foundations that support the firm’s AI and analytics capabilities. This role sits within the engineering effort to develop a modern Lakehouse and AI data platform that enables reliable, well-governed and high-performing data use across the firm.

At Goldman Sachs, engineering teams are positioned at the centre of the business, building scalable systems, solving complex technical problems and turning data into action. In data engineering roles, the emphasis is on designing, building and maintaining large-scale data platforms, delivering production pipelines, improving reliability and quality, and partnering closely with users of the platform.

This is a delivery-focused role for engineers who want to build robust data assets in production, work with modern data technologies, and grow over time within the firm. You will contribute to the data models, pipelines and platform capabilities that underpin analytics, operational decision-making and emerging AI use cases, and may also help extend platform tooling where additional functionality is needed.

Role Summary

As a Data Engineer in the Lakehouse and AI Data Platform team, you will design, build, test and support data pipelines and curated datasets on the firm’s modern data platform. You will work across ingestion, transformation, modelling, optimisation and data quality, helping to deliver data products that are reliable, scalable and fit for purpose.  Where there are gaps in platform functionality, you may also contribute to shared tooling or framework components that improve how the platform is used and operated.

The role is suited to engineers who are comfortable writing code, working with SQL and distributed data processing, and solving practical delivery problems in a team environment. More experienced candidates may also contribute to technical design, platform standards and the shaping of delivery approaches across a wider set of use cases.

Key Responsibilities

Pipeline Engineering

• Build, enhance and support batch and streaming data pipelines on the Lakehouse and AI data platform.
• Refactor or modernise existing data flows where needed to improve reliability, performance and maintainability.
• Where needed, build reusable tooling to improve delivery, consistency and operational support.
• Ensure data pipelines are production-ready, well tested and operationally supportable.

Data Modelling and Curation

• Develop raw, refined and curated datasets that support analytics, reporting and AI use cases.
• Apply sound data modelling principles to represent business entities, relationships and historical change accurately.
• Work with consumers to shape data products that are usable, well documented and aligned to business needs.

Data Quality and Reconciliation

• Implement controls to validate completeness, accuracy and consistency of data across pipelines and datasets.
• Use reconciliation approaches to build confidence in production outputs and investigate breaks where they arise.
• Contribute to clear standards for testing, monitoring and issue resolution.
• Contribute to practical improvements in testing, monitoring or reconciliation tooling where these strengthen platform reliability and day-to-day delivery.

Delivery and Partnership

• Work closely with engineers, platform teams and data consumers to deliver agreed outcomes to time and quality expectations.
• Communicate clearly on progress, risks, dependencies and design choices, including where delivery would benefit from improvements to shared platform tooling.
• For more senior candidates, take a broader role in technical leadership, task breakdown and support for junior engineers.

Skills and Experience

Required

• Min. 7 years of experience in a similar role.
• Bachelor’s or master’s degree in a relevant discipline, or equivalent practical experience, with evidence of strong quantitative skills or data engineering expertise.
• Strong hands-on programming experience in Python or Java.
• Good working knowledge of SQL, including troubleshooting, optimization and data analysis.
• Ability to learn new tools, internal platforms and delivery workflows quickly.
• Familiarity with software engineering fundamentals, including version control, testing, release discipline and CI/CD practices.

Data Engineering Capability

• Understanding of temporal data modelling, including the handling of historical state and change over time.
• Knowledge of schema design, schema evolution and data compatibility considerations.
• Understanding of partitioning, clustering and other techniques used to improve data performance at scale.
• Ability to make sensible design choices across normalized and denormalized models, and between natural and surrogate keys.
• Practical approach to data quality, reconciliation and root-cause analysis.
• Experience building or supporting production data pipelines in a collaborative engineering environment.
• Experience working with distributed data processing frameworks such as Apache Spark.
• Working knowledge of common data formats such as JSON, Avro and Parquet.
• Stronger ownership of technical design across multiple datasets or pipeline domains.
• Experience guiding implementation standards, code quality and engineering practices within a team.
• Ability to lead delivery for a workstream, manage dependencies and support less experienced engineers.

Technology Environment

The role will involve working with a modern and evolving data stack. Candidates are not expected to have deep expertise in every tool from day one but should bring relevant experience and the ability to work across comparable technologies.

Examples of technologies in scope include:

• Data processing and logic: ANSI SQL, Apache Spark, Kafka
• Data formats: JSON, Avro, Parquet
• Platforms and storage: Snowflake, Apache Iceberg, Databricks, Hadoop ecosystem technologies, Sybase IQ
• Engineering and deployment: CI/CD tooling, containerized or Kubernetes-based deployment approaches where relevant

You will also work with internal data management and platform tooling, so a practical and adaptable engineering mindset is important.

What We Are Looking For

We are looking for engineers who can deliver well-structured, reliable solutions in production and who take ownership of the quality of what they build. The role suits candidates who are technically strong, pragmatic and comfortable working in a fast-paced environment where data platforms support important business outcomes.

Stronger candidates will typically demonstrate:

• sound judgement in technical trade-offs
• attention to detail in data correctness and testing
• a clear and structured approach to problem solving
• willingness to work closely with stakeholders and partner teams
• an interest in developing long-term expertise within the firm

ABOUT GOLDMAN SACHS

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.

We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers.

We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html

© The Goldman Sachs Group, Inc., 2026. All rights reserved.

Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.