About Tara Climate Foundation

Tara Climate Foundation is an Asia-based philanthropicorganisation committed to building a more sustainable and prosperous future forthe region. At the heart of our mission lies Asia’s just energy transition –recognising that with half the world’s population and the fastest-growingenergy demand, the region’s progress will shape the world’s collective future.

Established in 2021 and headquartered in Singapore, TaraClimate Foundation works with over 355 partners across 12 Asian geographies,including think tanks, research institutes, advisory groups, and associations.Tara provides grants, convenes stakeholders, and facilitates knowledge-sharingto accelerate clean energy development, drive a just transition, and enableclean industrialisation. Underpinning these efforts is a strong commitment tounlocking sustainable finance, supporting climate goals, and aligning businessaction with a people-centred energy transition. Our team of over 50 experts isspread across the Asia-Pacific region, working to accelerate climate action inthis decisive decade.

For more on Tara Climate Foundation, visithttps://taraclimate.org/.

About the Role

The world is shifting from fossil fuels to renewable energy. To help shape Tara Climate Foundation’s strategy and support our partners across Asia, we need to gather, interpret and use a wide range of data on the clean energy transition. This is the role of the Senior Data & Impact Officer.

We are looking for a highly capable analyst with strong knowledge of the energy transition, excellent data interpretation and communication skills, and a deep commitment to climate action. This role requires someone who can work with detailed datasets while also understanding what the numbers mean for strategy, policy, infrastructure, and real-world decarbonisation pathways.

The successful candidate will be able to understand and interpret data across areas such as electricity generation, power sector planning, renewable and fossil fuel energy infrastructure, greenhouse gas emissions, energy efficiency, industrial decarbonisation, finance flows and policy change. They will not only capture and manage data, but also ask the right questions of it: what is changing, what is not changing, where progress is evidenced, where there are gaps, and what this means for Tara’s programs and partners.

You will excel at gathering, analysing and interpreting data, and at turning complex evidence into insights for senior leadership, program teams, and funders. You will be comfortable moving between quantitative analysis, interpretation and communication. You will also bring the curiosity and motivation of someone who follows energy transition developments closely and enjoys making sense of technical and policy-oriented information.

You will also apply your analytical skills to Tara’s internal organisational data, supporting monitoring, evaluation and learning (MEL) that help us assess progress towards our long-term strategic goals and annual objectives across geographies and sectors.

You will work closely with program teams across Asia, support Tara’s programs and data-focused partners and grantees, and contribute to the development of shared data resources, insights and narratives that strengthen climate and energy strategies across the region.

Key responsibilities

Clean energy transition data analysis and insights — 40%

• Working with the Deputy Director for Program Management & Impact, contribute strongly to the development and delivery of Tara’s Program Data Strategy, ensuring it supports Tara’s strategic goals, four-year plan, and program priorities.
• Support senior management and regional, country and sector program teams to identify priority data, analysis and insight needs.
• Lead the systematic collection, cleaning, integration and analysis of national, regional and global energy and climate datasets relevant to Tara’s strategy and grant-making.
• Analyze data on the clean energy transition, including areas such as power sector transformation, renewable energy deployment, fossil fuel phase-down, electricity demand, grid development, industrial decarbonization, energy efficiency, emissions trajectories, finance flows and policy implementation.
• Interpret quantitative evidence in context, identifying trends, uncertainties, data gaps, strategic implications and opportunities for Tara and its partners.
• Produce high-quality reports, briefs, dashboards, data visualizations and presentations on a regular cadence.
• Support Tara teams to use data and evidence in strategy development, program design, partner engagement, funder communications and external storytelling.
• Translate complex analytical findings into clear, accessible narratives about the progress, challenges and politics of the clean energy transition in Asia.

Results-based management and Monitoring, Evaluation and Learning — 40%

• Support the ongoing implementation of Tara’s Monitoring, Evaluation and Learning (MEL) systems, ensuring they support organisational learning, accountability and strategic decision-making.
• Support Tara’s annual planning processes, including the review of goals and objectives for alignment with the MEL system and approach.
• Contribute to mid-year and year-end reviews and reporting, drawing out patterns and implications from the level of achievement of goals and objectives across the organisation for future strategy.
• Contribute strongly to Tara’s annual MEL report based on input from program leads, internal data and relevant external evidence.
• Support the development of analytics based on Tara’s grant management system, financial management information and other internal systems, where required.
• Help improve how Tara uses organisational data to understand program effectiveness, risks, and resource allocation.

Data-focused grant-making and partner collaboration — 20%

• Help strengthen Tara’s network of data, research and analytical partners across Asia.
• Contribute towards grant-making that can improve the availability, quality and use of open-source energy transition data and analysis across the climate ecosystem. Propose grants to data-focused partners, ensuring alignment with Tara’s strategic priorities and program needs.
• Support good collaboration between data oriented civil society organisations and Tara program teams to ensure that analysis is actionable and responsive to real-world advocacy and policy needs.

Miscellaneous:

• Promote a culture of excellence, service orientation, high performance, and continuous improvement
• Demonstrate Tara Values in every action
• Actively participate in Program Team activities
• Abide by Tara’s policies, procedures and practices
• As and when required, other responsibilities and projects will be allocated by line management in consultation with the post holder.

Person Specification

Excited by the prospect of working for a dynamic and fast-growing Asia-based organisation with a mission to build a more prosperous, thriving and sustainable future for Asia, the ideal candidate will have:

Essential

• Good knowledge of the clean energy transition, particularly in Asia, including familiarity with power sector transformation, renewable energy deployment, fossil fuel phase-down, energy policy, and/or industrial decarbonisation.

• Six to ten years of relevant professional experience in data analysis, research, monitoring and evaluation, or a related field, gained in civil society, philanthropy, government, academia, consulting, business or international organisations.

• Demonstrated ability to interpret energy and climate data in context, including the ability to identify trends, assess data quality, recognise gaps and draw strategic implications.

• Strong quantitative and analytical skills, attention to detail, and experience working with large, complex and imperfect datasets.

• Excellent data handling and presentation skills using Microsoft Office 365 applications, especially Excel, PowerPoint and Word. Good skills in analytical tools or languages, such as R, Python, SQL, or statistical software.

• Highly developed skills in creating dashboards, reporting tools and data visualisations using platforms such as Tableau, PowerBI, Grantelligence or other similar tools.

• Excellent written and verbal communication skills in English, including the ability to explain complex energy, climate and data analysis concepts to non-specialist audiences.

• Strong interpersonal skills and the ability to work effectively in a dynamic, cross-cultural, remote team across the Asia Pacific region.

• Ability to manage multiple workstreams independently, exercise sound judgement, and deliver high-quality outputs with limited supervision.

Desirable

• Familiarity with key open-access (eg GEM, Ember) and/or proprietary (eg BNEF) energy related datasets.

• Experience working with civil society organisations, philanthropies, think tanks, research institutes or advocacy coalitions.

• Familiarity with monitoring, evaluation and learning approaches, especially in complex systems-change, policy, advocacy or philanthropic contexts.

• Experience with grant-making, grants management or commissioning external research and analysis.

• Knowledge of one or more Asian energy markets, policy environments or political economies.

Personal Attributes

• Deep intellectual curiosity about energy systems, climate mitigation and the clean energy transition.

• Demonstrated motivation to understand not only what the data says, but what it means for strategy, policy, advocacy and real-world change.

• A strong commitment to climate action and to supporting a rapid, equitable transition away from fossil fuels.

• Ability to combine analytical rigor with practical judgement.

• Confidence engaging with both technical experts and non-technical stakeholders.

• Strong organisational and self-management skills, particularly in a remote and internationally distributed team.

• Flexibility over working hours to accommodate international time zones

• Willingness to travel both regionally and internationally on occasion.

• High ethical standards and experience handling confidential information.

Education

• Masters degree in a relevant field such as data science and energy transition or other relevant studies.

Location

• The candidate must be based in Japan, South Korea, Singapore, Philippines, Thailand, Malaysia, Indonesia, Bangladesh, or Pakistan and must have long-term residency status with legal permit to reside and work in the country.

Stakeholder Management

Key external stakeholders

• Tara Partner

Key internal stakeholders

• Regional Program team

• Program Directors

•Senior Program officers

•Grants Officers

What Tara Foundation can offer

• The unique opportunity to work as part of a highly dynamic, international team who combine their passion to make a difference with a rigorous and results-oriented approach to work
• A flexible work environment
• Opportunities for career develop and challenge yourself
• Competitive compensation and benefits
• A collaborative, fun and thriving team, driven by our mission and live our values

To Apply:
Please submit an A4 covering letter outlining your skills and achievements against the role responsibilities, why you would like to join us and your salary expectations, along with your up-to-date CV at Recruitment@taraclimate.org.

Please use the job title: Senior Data & Impact Officer as the subject in your email.

Applications without a cover letter will not be assessed.

Tara is committed to building leadership capacity within Asia. This position can be based in Japan, South Korea, Singapore, Philippines, Thailand, Malaysia, Indonesia, Bangladesh, or Pakistan, all applicants must have the right to live and work in that country.

We appreciate everyone's application but only have the resources to respond to shortlisted applicants. If you have not heard fromus within 3 weeks of the closing date, please assume you are unsuccessful forthis role. If this is you, we appreciate your support and consideration andhope you will continue to consider roles with Tara in the future! Visit us at: https://taraclimate.org/.

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

- Industrial Automation & Inspection Equipment
- Walking distance from Lavender / Bendemeer MRT
- No prior experience required as training provided​

Responsibilities

• Create, maintain, and analyze sales and market data using Excel, SAP, and company software

• Use data insights to guide sales direction and market development strategies

• Proactively propose ideas to improve sales performance

• Investigate root causes behind sales outcomes and market trends

• Support lead generation, promotional campaigns, and B2B marketing initiatives

• Double-check completed work to ensure accuracy and data integrity

Requirements

• Minimum Bachelor's Degree in any field

• Proficient in Microsoft Excel

• Knowledge of Modern Excel, Power BI, or Power Automate is a plus

• Proactive in proposing ideas for sales improvement

• Curious and analytical – investigates reasons behind outcomes

• Purpose-driven – always questions the "why" behind actions

• High hospitality standards – anticipates and understands others' needs

• Action-oriented – ready to take immediate action

Please send your updated CV to josie.cha@peopleprofilers.com

All Successful candidates can expect a very competitive remuneration package and a comprehensive range of benefits.

We regret that only shortlisted candidates will be notified.

EA Personnel: Cha Zi Jing Josie
EA Registration No.: R24124843
People Profilers Pte Ltd
EA Licence Number: 02C4944
Tel: 6950 9756

Key Responsibilities

• Process and prepare data files for printing (e.g., formatting, validation, sorting)
• Operate and monitor printing systems and related software
• Ensure accuracy and completeness of data before print production
• Troubleshoot basic system, file, or print issues
• Maintain logs and records of processed jobs
• Perform file conversions (e.g., PDF, CSV, print-ready formats)
• Coordinate with design, production, or customer teams as needed
• Adhere to data security and confidentiality standards
• Meet deadlines for high-volume print jobs
• Knowledge of PrintSoft and Excel will be added advantage.

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

Role Overview

We are seeking a Data Engineer to design, develop, and maintain scalable, secure, and reliable data platforms and pipelines that support business and operational needs. The successful candidate will work closely with stakeholders, engineers, and data stewards to deliver high-quality data products while ensuring strong governance, security, and operational excellence.

Key Responsibilities

Data Pipeline Development and Architecture

• Translate business and data requirements into technical specifications and scalable data solutions.

• Develop and maintain data products as part of a cross-functional data team.

• Design, build, and optimise data ingestion pipelines to collect, transform, integrate, and harmonise data from multiple source systems.

• Design, develop, test, and maintain reusable data models to support reporting, analytics, and operational use cases.

• Implement secure and efficient mechanisms for users and applications to access enterprise data assets.

• Evaluate and implement new technologies, tools, and processes to enhance data infrastructure capabilities and performance.

Data Quality, Testing and Validation

• Develop and implement data quality controls and validation processes to ensure data accuracy, completeness, and consistency.

• Design, execute, and maintain test cases for data pipelines, including functional, regression, and exploratory testing.

• Build and maintain automated testing frameworks to improve data reliability and reduce production defects.

• Perform data reconciliation and integrity testing to validate end-to-end data processing and transformation workflows.

• Support User Acceptance Testing (UAT) activities by working with stakeholders to validate business requirements and expected outcomes.

Operations, Governance and Continuous Improvement

• Monitor and maintain databases, ETL processes, and data platforms, including performance optimisation, troubleshooting, capacity planning, and operational support.

• Collaborate with technology teams and stakeholders to align infrastructure, security, and platform requirements.

• Support the implementation and enforcement of data governance policies, standards, and best practices.

• Maintain data catalogues, metadata repositories, and data lineage documentation.

• Implement data security controls, including access management, encryption, masking, and other data protection measures.

• Drive continuous improvements in CI/CD, DevOps, and Site Reliability Engineering (SRE) practices.

Requirements

Qualifications and Experience

• Bachelor's Degree in Computer Science, Software Engineering, Information Technology, or a related discipline.

• Strong understanding of system design principles, data structures and algorithms, data modelling, data access patterns, and data storage technologies.

• Experience designing, building, and maintaining batch and real-time data pipelines.

• Hands-on experience with workflow orchestration tools such as Apache Airflow and Azure Data Factory.

• Proficiency in Python, SQL, and Shell scripting.

• Experience working with cloud platforms such as AWS, Microsoft Azure, and Google Cloud Platform (GCP).

• Experience with Databricks.

• Experience implementing data quality frameworks, validation processes, and testing methodologies for data pipelines.

• Familiarity with automated testing approaches and integration within CI/CD environments.

• Experience with issue tracking and test management tools such as JIRA or equivalent platforms.

• Familiarity with CI/CD pipelines and DevOps practices.

• Experience using DevOps tools such as Docker, Git, and Terraform.

• Experience implementing solutions that support data security, data quality, and data governance requirements.

Preferred Experience

• Familiarity with government-sector data management, governance, infrastructure, and security frameworks.

• Experience in climate, weather, environmental, or geospatial data domains will be advantageous.

Additional Information

• Appointment level and remuneration will be commensurate with qualifications, skills, and relevant experience.

Our client is a well established data centre and IT infrastructure company that focuses on providing carrier-neutral data centre services, network connectivity, managed services and related technology solutions.

They are looking for a motivated Senior Data Centre Engineer to support the day-to-day operations and maintenance of mission-critical data centre infrastructure. In this role, you will be responsible for ensuring the reliable operation, maintenance, and optimisation of data centre facilities. This role provides technical leadership in managing critical M&E infrastructure, supports service delivery excellence, and ensures compliance with safety, operational, and regulatory standards.

Key Responsibilities

Data Centre Operations & Reliability

• Oversee day-to-day operations of critical infrastructure including power, cooling, fire suppression, and monitoring systems.
• Ensure high availability and resilience of all active and redundant systems.
• Lead response to alarms, incidents, and emergencies, performing root cause analysis and corrective actions.

Maintenance & Engineering

• Plan, supervise, and execute preventive and corrective maintenance activities.
• Review maintenance procedures and implement improvements to enhance system reliability and efficiency.
• Manage testing of backup systems (UPS, generators, switchgear, CRAC, etc.).

Technical Leadership

• Provide technical guidance and mentorship to junior engineers and technicians.
• Act as escalation point for complex technical issues.
• Support audits, certifications, and compliance initiatives (e.g. ISO, SS 564, Uptime).

Customer & Stakeholder Support

• Coordinate customer installations, move-ins, turn-ons, and infrastructure changes.
• Ensure contracted SLAs and KPIs are met or exceeded.
• Liaise with internal teams, vendors, and customers to support operational requirements.

Projects & Change Management

• Support data centre projects, upgrades, and capacity expansion works.
• Review technical designs, method statements, and risk assessments.
• Oversee contractors and ensure works are carried out safely and in accordance with standards.

Safety, Compliance & Reporting

• Ensure strict adherence to workplace safety, SOPs, and regulatory requirements.
• Prepare incident reports, operational logs, and performance reports.
• Participate in shift coverage and on-call rotation as required.

Requirements

• Willing to work 24/7 rotating shifts
• Willing to work at both locations
• At least 4-5 years of relevant experience for a data centre

Work Locations: Bedok/Woodlands (Rotation of location will be required)

Working Hours

Morning Shift: 8.30am - 8.30pm

Night Shift: 8.30pm - 8.30am

(Shifts will rotate every 2 weeks)

Shift pattern: work 3 days rest 3 days, work 2 days rest 2 days

Salary

Up to $5500

Benefits

AWS, Variable Bonus, Allowances, Flexi benefits, 21 days annual leave

Interested candidates kindly click APPLY NOW to submit your latest CV.

We regret that only shortlisted candidates will be notified.

Search Avenue Pte Ltd

EA License No.: 25C2695

EA Registration No.: R25157669 [Amanda Wee]

Duration: 1 year

Location: Novena

Working Hours: Monday - Thursday 8:30am to 6pm; Friday 8:30am to 5:30pm

Responsibilities:

• Coordinate and support the implementation of programmes, workshops, training sessions, and events.

• Liaise with participants, partners, vendors, and stakeholders to ensure successful programme execution.

• Manage programme registrations, attendance tracking, and participant communications.

• Prepare programme-related materials, reports, presentations, and documentation.

• Monitor programme schedules and ensure timely completion of deliverables.

• Respond to enquiries and provide administrative support to programme participants and stakeholders.

• Maintain accurate records, databases, and programme information.

Requirements:

• Diploma or Degree in any discipline.

• Prior experience in programme coordination, administration, customer service, events, or stakeholder engagement is preferred.

• Strong organizational and time management skills.

• Good interpersonal and communication skills.

• Proficient in Microsoft Office applications, especially Excel, Word, and PowerPoint.

To apply, simply click "APPLY" and submit your curriculum vitae (CV) through GO, the official PERSOL job application platform.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOL Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolsingapore.com/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

We are seeking an experienced Senior Data Architect / Lead Data Engineer to lead enterprise data transformation initiatives, modern data platform development, and cloud-based analytics solutions. The ideal candidate will possess deep expertise in Data Architecture, Data Warehousing, Cloud Data Platforms, ETL/ELT development, Data Governance, and Analytics Enablement.

The candidate will work closely with business stakeholders, data analysts, architects, and engineering teams to design scalable and secure data ecosystems that support reporting, advanced analytics, AI/ML, and regulatory requirements.

Key Responsibilities:

• Design and implement enterprise-scale Data Warehouse and Data Lake solutions.

• Architect modern cloud-based data platforms using Snowflake, Azure Synapse, Databricks, and Delta Lake.

• Develop scalable ETL/ELT pipelines using Talend, Informatica, Azure Data Factory, and Python.

• Establish Medallion Architecture (Bronze, Silver, Gold) and curated semantic layers.

• Lead data modeling activities including conceptual, logical, and physical data models.

• Define and implement Data Governance, Metadata Management, Lineage, and Data Quality frameworks.

• Collaborate with business stakeholders to gather requirements and translate them into technical solutions.

• Design data solutions supporting Business Intelligence, Advanced Analytics, and AI/ML initiatives.

• Ensure compliance with regulatory and security requirements.

• Conduct architecture reviews, performance tuning, and technical mentoring for engineering teams.

• Support cloud migration and enterprise data modernization programs.

Responsibility

Data Pipeline Development and Architecture

a) Translate data requirements from business users into technical specifications.

b) Build out data products as part of a data team.

c) Architect and build ingestion pipelines to collect, clean, merge, and harmonise

data from different source systems.

d) Construct, test, and update useful and reusable data models based on data

needs of end users.

e) Design and build secure mechanisms for end users and systems to access data

in the data warehouse.

f) Research, propose, and develop new technologies and processes to improve

agency data infrastructure.

Data Quality, Testing and Validation

a) Implement data quality checks and validation processes to ensure data accuracy

and consistency across all pipeline stages.

b) Design and execute test cases for data pipelines, covering functional, regression,

and exploratory testing to validate data transformations and business logic.

c) Develop and maintain automated test coverage for data pipelines to prevent bugs

and defects from reaching production.

d) Perform data reconciliation and integrity testing to validate end-to-end data flows

across source and target systems.

e) Support User Acceptance Testing (UAT) by coordinating with stakeholders to

validate that data products and pipelines meet business requirements.

Operations, Governance and Continuous Improvement

a) Conduct day-to-day monitoring of databases and ETL systems, including capacity

planning, maintenance, performance tuning, and issue diagnosis.

b) Collaborate with partner agency IT teams on technology stack, infrastructure, and

security alignment.

c) Collaborate with data stewards to establish and enforce data governance policies,

best practices, and procedures.

d) Maintain a data catalogue to document data assets, metadata, and lineage.

e) Implement and enforce data security best practices, including access control,

encryption, and data masking, to safeguard sensitive data.

f) Drive continuous improvement in CI/CD and Site Reliability Engineering (SRE)

practices.

Experience and Skills Needed

Qualifications and Experience

a) Bachelor's Degree, preferably in Computer Science, Software Engineering,

Information Technology, or related disciplines.

b) Deep understanding of system design, data structures and algorithms, data

modelling, data access, and data storage.

c) Experience in designing, building, and maintaining batch and real-time data

pipelines.

d) Experience with orchestration frameworks such as Airflow and Azure Data

Factory.

e) Proficiency in working with Python, Shell Scripts, and SQL.

f) Demonstrated ability in using cloud technologies such as AWS, Azure, and Google Cloud.

g) Experience with Databricks.

Data Quality and Testing

a) Experience designing and executing data quality checks, validation processes,

and test cases for data pipelines.

b) Familiarity with test automation approaches for data pipelines, including

integration with CI/CD pipelines.

c) Experience with defect tracking and test management tools such as JIRA or

equivalent.

DevOps and CI/CD Practices

a) Familiarity with building and using CI/CD pipelines.

b) Familiarity with DevOps tools such as Docker, Git, and Terraform.

c) Experience implementing technical processes to enforce data security, data

quality, and data governance.

Domain Knowledge (Added Advantage)

a) Familiarity with government systems and policies relating to data governance,

data management, data infrastructure, and data security.

b) Experience in Climate and Weather domains will be an advantage.

Job Description

Ensuring Compliance with the PDPA

To ensure that the organisation meets specific PDPA requirements. This includes overseeing the processes and systems in place to secure personal data and assessing potential risks in data management.

Identifying and Escalating Potential Risks to Management

Responsible for identifying potential data protection risks within the organisation and escalating these risks to management. This ensures that leadership is aware of vulnerabilities and can take appropriate action to mitigate them.

Increasing Stakeholder Awareness

To educate employees on data privacy and PDPA requirements and organise training sessions that help staff understand the importance of data protection and the practices they must adopt to ensure compliance.

Raise awareness among external stakeholders, such as contractors and business partners, about the organisation’s data protection obligations and policies.

Handling Data Inquiries and Complaints

When it comes to data-related enquiries from individuals within and outside the organisation, a DPO serves as the very first point of contact. They address concerns, investigate complaints and work to resolve issues related to data handling practices.

Developing and Implementing Data Protection Policies

Establishes specific data protection policies and has them tailored to the unique data handling practices of the company. These policies guide employees in handling data responsibly to create a structured approach to data privacy.

Liaising with the Personal Data Protection Commission (PDPC)

Acting as the primary liaison with the Personal Data Protection Commission (PDPC),a DPO should actively facilitate communication regarding any data protection issues, audits, or incidents. This connection allows the organisation to remain informed on regulatory changes and enforcement actions.

Ad-hoc duties assigned by immediate superior.

Job Requirements

• Bachelor’s degree or Diploma holder in any discipline.
• Proficient in data protection and compliance. Able to educate, train and facilitate PDPA related work.
• Strong interpersonal and communication skills, verbal and written, to collaborate and engage with various levels of stakeholders.
• Keen and motivated to continuously learn and improve, proactive and thrive when facing challenges.
• Diligent in completing tasks and processes from start to end, adhere well to timelines independently and as a team.
• Resourceful, analytical and keen in problem-solving.
• Proficient in MS Office applications.

Duration: 12 Month Contract

Responsibilities:

• Manage Front Office’s queries and support troubleshooting
• Manage processing of e-banking applications / modifications / cancellations, mailing addresses and conditions changes for clients and agents accurately and timely
• Handle returned mails for client portfolios
• Manage ad-hoc clients statements and advices printing requests
• Maintain client data in the bank systems and perform clean-up when required
• Deliver consistent service and meet the established SLAs (Service Level Agreements) while complying with the Bank’s policies and procedures
• Support any ad-hoc tasks / requests as assigned from time to time

Requirements:

• Degree with at least 3 years of account documentation requirement in Private Bank
• Experience in mailing related data maintenance for Client and Agent (EAM, EFA, Finder) records is preferred
• Proficient in MS Office applications (Word, Excel, PowerPoint), Macros and Visual Basic knowledge as well as an aptitude for technology

**This Singapore-based position is opened to Singaporeans only

We regret that only shortlisted candidates will be notified.

GMP Technologies (S) Pte Ltd   |   EA Licence:11C3793   |   Nurul Amirah |   Registration No: R22108940

Who are we?

Equinix is the world’s digital infrastructure company®, shortening the path to connectivity to enable the innovations that enrich our work, life and planet. 

A place where bold ideas are welcomed, human connection is valued, and everyone has the opportunity to shape their future.

Joining our operations team means being at the center of everything – maintaining and evolving critical infrastructure that powers the digital world and delivers real impact for our customers, communities and society. You’ll find belonging, purpose, and a team that welcomes you—because when you feel valued, you’re empowered to do your best work.

Job Summary

A senior, highly skilled specialist responsible for ensuring the reliability, availability, and safe operation of mission‑critical data center infrastructure through advanced controls and automation systems. The Senior Critical Facilities Engineer (Controls) applies deep expertise in BMS, control systems, and system integration to monitor, optimize, and stabilize critical facilities operations. This role operates with a high degree of independence within standard operating procedures and supports operational excellence by improving system behavior, alarm management, and control logic across the site.

Responsibilities

Facility / Infrastructure Maintenance

• Performs specialized preventive and corrective maintenance with a focus on controls, automation, and monitoring layers supporting critical facilities systems.
• Acts as a technical authority for Building Management Systems (BMS), DCOS, and associated control platforms, ensuring reliable monitoring and control of power, cooling, and life‑safety systems.
• Monitors and analyzes complex alarms, trends, and events within the BMS, independently resolving issues related to control logic, system behavior, and signal integrity.
• Leads investigation of abnormal system behavior, including false alarms, control sequence failures, sensor drift, and communication faults, recommending corrective actions.
• Supports control system interfaces across mechanical and electrical systems (e.g. chillers, CRAH/CRACs, generators, UPS interfaces), working closely with Electrical and Mechanical CF teams.
• Reviews, validates, and optimizes alarm configuration, thresholds, and escalation logic to reduce noise and improve incident response effectiveness.
• Supports configuration, testing, and validation of control strategies during maintenance windows, system upgrades, or commissioning activities.
• Implements and supports energy efficiency and optimization initiatives through improved control strategies, setpoint tuning, and automated response mechanisms.
• Works on assignments requiring significant judgment and initiative, fully understanding how controls failures or misconfigurations can impact customer infrastructure, availability, and SLAs.

Vendor Support

• Acts as the primary technical interface for controls and BMS vendors, integrators, and service providers.
• Reviews and validates vendor proposed control logic, graphics, and sequences of operation to ensure alignment with site standards and operational intent.
• Assists with the creation, review, and approval of Maintenance Operation Protocols (MOPs) and scripts related to control system changes.
• Oversees vendor execution during controls‑related maintenance, system upgrades, or retrofits, including pre‑work briefings, live supervision, and post‑work validation.
• Ensures control system documentation, network diagrams, point lists, and as‑built records are maintained accurately.

Site Administration & Incident Support

• Prepares and maintains specialized documentation for control system operations, alarm management, and automated response mechanisms.
• Identifies Single Points of Failure (SPOFs) and systemic risks within the controls and monitoring layer and recommends architectural or configuration improvements.
• Responds to on‑site incidents involving BMS failures, alarm floods, loss of visibility, or automation defects, providing controls expertise during restoration.
• Leads or contributes to Root Cause Analysis (RCA) related to controls, automation, or monitoring system failures.
• Supports on‑site teams during incidents by providing control‑system insight, diagnostic guidance, and decision support.
• Ensures controls‑related procedures, alarm management policies, and change processes are followed consistently during normal operations and incidents.

Work Orders & Additional Projects

• Completes skilled work requests related to control system changes, monitoring enhancements, and automation improvements.
• Supports commissioning, re‑commissioning, and control validation activities for new or modified infrastructure.
• Implements approved changes to controls logic, alarm strategies, and system interfaces in support of operations and improvement initiatives.
• Executes and supports complex controls‑focused projects, including BMS upgrades, platform migrations, and integration of new plant systems.
• Supports life‑cycle management and end‑of‑life replacement of controls hardware, networks, and software platforms.
• Recommends controls and automation improvement projects based on operational data, incident trends, and system performance.

Collaboration

• Collaborates closely with Electrical, Mechanical, Operations, Security, and IT teams to ensure controls systems accurately reflect facility behavior and operational needs.
• Acts as a technical mentor for engineers in the areas of BMS usage, alarm interpretation, and control system troubleshooting.
• Works with stakeholders to forecast controls‑related spare parts, licensing, and system capacity requirements.
• Serves as a senior controls subject‑matter expert during incidents, complex changes, and multi‑discipline projects.

Qualifications

• Proven experience supporting controls, BMS, automation, or monitoring systems in mission‑critical environments such as data centers, smart buildings, utilities, or industrial facilities.
• Diploma or Degree in Controls Engineering, Electrical Engineering, Mechanical Engineering, Automation, or Building Services Engineering preferred.
• Hands‑on experience with BMS / DCOS platforms, PLC‑based systems, alarm management strategies, and system integration is highly desirable.

Equinix is an Equal Employment Opportunity and, in the U.S., an Affirmative Action employer.  All qualified applicants will receive consideration for employment without regard to unlawful consideration of race, color, religion, creed, national or ethnic origin, ancestry, place of birth, citizenship, sex, pregnancy / childbirth or related medical conditions, sexual orientation, gender identity or expression, marital or domestic partnership status, age, veteran or military status, physical or mental disability, medical condition, genetic information, political / organizational affiliation, status as a victim or family member of a victim of crime or abuse, or any other status protected by applicable law. 

Position Summary:

We are seeking a highly skilled and motivated Senior Data Engineer to join our team and play a crucial role in building and maintaining our common unified framework, data pipelines, data models, data products, and data engineering tooling.

Position Responsibilities:

• Design, develop, and maintain a common unified data framework that enables seamless integration of data from various sources and systems.

• Create and optimize data pipelines for ingesting, processing, transforming, and storing large volumes of structured and unstructured data.

• Work closely with data scientists and analysts to understand their data requirements and translate them into robust data models.

• Develop and maintain data engineering tooling to improve data ingestion, data quality, data monitoring, and data governance processes.

• Troubleshoot and resolve data pipeline and data-related issues to ensure uninterrupted data flow.

• Monitor data pipeline performance, identify bottlenecks, and optimize data processing and storage for efficiency.

• Evaluate and integrate third-party data tools and technologies to enhance the data engineering capabilities of the organization.

• Experience applying AI or intelligent techniques to improve data quality, monitoring, or development workflows.

Listed responsibilities are an essential, but not exhaustive list, of the usual duties associated with the position. Changes to individual responsibilities may occur due to business needs.

Position Requirements:

• Proficiency in any object oriented or/and functional programming languages such as Python, Scala, or Java for data processing and data manipulation.

• Solid understanding of data quality, data governance, security, and lineage concepts.

• Strong ability to troubleshoot data-related issues effectively.

• Excellent communication and collaboration skills to work effectively with cross-functional teams.

• Demonstrated passion for data engineering, automation, and continuous learning

All listed requirements are deemed as essential functions to this position; however, business conditions may require reasonable accommodations for additional task and responsibilities.

Preferred Experience/Education/Skills:

• Bachelor's or master's degree in computer science, Engineering, or a related field.

• At least 6 years of experience working as a Data Engineer with a proven track record in designing and building production grade data pipelines and data models.

• Experience applying AI or intelligent techniques to improve data quality, monitoring, or development workflows.

• Knowledge of C# web development using Microsoft .NET would be advantageous.

JOB SUMMARY:

We're looking for a Senior Data Engineer to design and build complex data systems independently. You'll tackle challenging technical problems - optimizing query performance at scale, architecting fault-tolerant pipelines, and building high-throughput data services with minimal guidance. This role is for experienced engineers who can take ambiguous requirements, propose solid technical solutions, and deliver production-ready systems end-to-end.

This role requires 5+ years of hands-on experience building data infrastructure in production environments. You'll work independently on substantial technical projects, make sound architectural decisions within your domain, and contribute to raising the technical bar through code reviews and knowledge sharing. You're expected to be self-sufficient in execution while collaborating effectively with engineering, analytics, and product teams.

KEY RESPONSIBILITIES:

• Data Infrastructure: Design, develop, and maintain robust data pipelines and storage systems.
• Data Quality: Ensure high data reliability, consistency, and accuracy across all data flows.
• Performance Tuning: Optimize data processing jobs and system performance at scale.
• Process & Mentorship: Improve data engineering workflows and mentor junior data engineers.
• Collaboration: Work with business analysts, data scientists and backend teams to deliver timely, usable data solutions.

JOB REQUIREMENTS:

• Bachelor’s degree in Computer Science, Data Engineering, Software Engineering, or a related field.
• Experience: Minimum 5 years in data engineering or related backend engineering roles.
• Tech Stack: Proficient in Python or Java/Scala; experience with big data tools like Spark, Flink, Kafka, Airflow, and cloud platforms (AWS/GCP/Azure), good understanding of SQL.
• Data Modeling: Solid experience in building and maintaining data models, data warehouses, and ETL/ELT pipelines.
• System Design: Ability to design scalable, reliable data architectures that support analytics and real-time use cases.
• Data Governance: Familiar with best practices for data quality, security, lineage, and compliance.
• Cross-team Work: Strong communication skills and ability to work closely with product, engineering, and business analytics teams.

Soft Skills:

• Team Mindset: Contribute to shared goals and support team members with a collaborative approach.
• Ownership: Take initiative and full responsibility for delivering high-quality data solutions.
• Adaptability: Open to feedback, eager to learn new technologies, and flexible in changing environments.
• Communication: Communicate complex technical topics clearly to both technical and non-technical stakeholders.

What We Offer

• Technical Leadership Opportunities: Participate in high-impact projects and lead the design of critical systems.
• Continuous Growth: Access to mentorship, learning resources, and a clear career progression path.
• High-Performance Collaboration: Work with a talented team using modern development practices (Agile/CI-CD).
• Flexibility and Trust: An open culture that encourages innovation and autonomous decision-making.

Senior Data Engineer

Are you passionate about building scalable data platforms that power business decisions and products at scale?

We're looking for a Senior Data Engineer to join a high-performing engineering team, where you'll play a key role in designing, building, and optimizing modern data platforms. This is an opportunity to work with large-scale datasets, cloud technologies, and real-time data pipelines while having a strong influence on technical decisions and architecture.

What You'll Be Doing

• Design, develop, and maintain scalable data pipelines and data platforms supporting analytics, reporting, and business applications

• Build and optimize ETL/ELT workflows to ensure reliable, high-quality, and accessible data across the organization

• Develop and maintain data models, data warehouses, and data lake solutions

• Improve performance, scalability, and reliability of data processing systems and workflows

• Work closely with Data Scientists, Analysts, Product Managers, and Software Engineers to deliver impactful data solutions

• Drive best practices in data engineering, code quality, testing, monitoring, and automation

• Mentor junior engineers and contribute to a strong engineering culture through knowledge sharing and technical leadership

What We're Looking For

• Degree in Computer Science, Software Engineering, Data Engineering, or a related discipline

• 5+ years of hands-on experience in Data Engineering, Backend Engineering, or related technical roles

• Strong programming experience in Python, Java, or Scala

• Experience working with modern data technologies such as Spark, Kafka, Airflow, Flink, or similar tools

• Solid understanding of SQL, database design, and data modelling concepts

• Experience building and supporting data warehouses, data lakes, and large-scale data pipelines

• Exposure to cloud platforms such as AWS, Azure, or Google Cloud Platform

• Strong problem-solving skills with the ability to design scalable and maintainable solutions

• Excellent communication skills and experience working with cross-functional teams

Those who are keen for the role and would like to discuss the opportunity further, please click "Apply Now" or email Kin Long at kinlong.fok@quesscorp.sg with your updated CV.

Only shortlisted candidates will be responded to, therefore if you do not receive a response within 14 days, please accept this as notification that you have not been shortlisted.

Quess Selection & Services Pte Ltd

EA Licence No: 23C2060 | EAP Registration No: R2095054

This is in partnership with the Employment and Employability Institute Pte Ltd (“e2i”).

e2i is the empowering network for workers and employers seeking employment and employability solutions. e2i serves as a bridge between workers and employers, connecting with workers to offer job security through job-matching, career guidance and skills upgrading services, and partnering employers to address their manpower needs through recruitment, training, and job redesign solutions. e2i is a tripartite initiative of the National Trades Union Congress set up to support nation-wide manpower and skills upgrading initiatives. By applying for this role, you consent to Quesscorp Singapore’s PDPA and e2i’s PDPA

• MNC Company

• Basic $4000 - $4600 + AWS + Variable Bonus

• Excellent Welfare and Benefits + Career progression

• Working location: Kallang

• Working day: Monday to Friday

• Working hours: 9am to 6.15pm
  

Job Responsibilities:

• Role: Combine data analysis and marketing leadership to build the foundational datasets and insights that drive sales analysis and market development using Microsoft, SAP, and Keyence software.

• Objective: Build and maintain the datasets and reports that define sales direction; turn those data-driven insights into targeted marketing and sales actions and guide and execute those initiatives.

• Marketing scope: Lead integrated B2B marketing activities — promotional planning, lead generation, and sales enablement — and guide the marketing team toward measurable growth.

• Other ad hoc duties as assigned.

Job Requirements:

• Minimum Bachelor's Degree in Marketing, Business and Engineering or related field with minimum 3 years professional marketing experience (B2B preferred).

• Proficiency in Excel and Power BI or Tableau; experience building reports and dashboards.

• Knowledge of Power Automate is a plus.

Candidates are encouraged to apply this position via Apply Now button with the following information in the resume

• Work experiences and job responsibilities

• Current and Expected salary

• Reason for leaving

• Date of availability

• Education background

  
  

We regret that only shortlisted candidates will be contacted.

LIONG ZHAO GUAN (R22107632)

EA Recruitment Pte Ltd

EA License No: 21C0492

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

Job Summary

· Role: Combine data analysis and marketing leadership to build the foundational datasets and insights that drive sales analysis and market development using Microsoft, SAP, and software.

· Objective: Build and maintain the datasets and reports that define sales direction; turn those data-driven insights into targeted marketing and sales actions and guide and execute those initiatives.

· Marketing scope: Lead integrated B2B marketing activities — promotional planning, lead generation, and sales enablement — and guide the marketing team toward measurable growth.

Key Requirements

Skills:

· Proficiency in Excel and Power BI or Tableau; experience building reports and dashboards.

· Knowledge of Power Automate is a plus.

Experience & qualifications

· Minimum 4-7 years of relevant experience for Senior Executive level.

· Proven, data-driven marketing, campaign executive, and lead-generation experience.

· Demonstrated leadership potential: able to set direction, guide sales priorities and actions, and drive execution.

· Minimum Bachelor’s degree. Degree in Marketing, Business and Engineering will be prioritized.

Personal qualities

· Proactive in proposing ideas for sales performance improvement

· Curious to investigate the reasons behind any outcomes

· Purpose-driven mindset, always questioning the 'why' behind actions

· High hospitality standards, akin to a first-class hotel, understanding and anticipating others' needs

· Ready to take immediate action

· Meticulous and likes to double-check completed assignments, committed to thoroughness in achieving decided objectives

What We Offer

· Culture: Empowerment within the scope of data performance, flat hierarchy, respect for frontliners' opinions, teamwork in problem-solving

· Environment: A hardworking and talented team, a company where diligent and steady performers thrive, rational and grounded in reason

Location: Kallang Sector (Geylang Bahru/Potong Pasir)

Duration: 12 months contract

Working Hours: Monday - Friday, 8.30am -6pm

(May be required to work beyond 6pm and during weekends when necessary, only during peak period)

Salary: Up to $3100 + 1 month completion bonus

Job Responsibilities:

• Provide high quality customer service and professionalism when calling consumers to schedule appointments or for any matters
• Take ownership of managing excel spreadsheets / database including updating schedules, works carried out etc in the system
• Plan and deploy contractors and teams based on the latest updates in the excel spreadsheets / database
• Actively collaborate with various stakeholders and teams when handling issues
• Communicate effectively with consumers and stakeholders to ensure satisfactory and timely resolutions
• Continuously improve and enhance the spreadsheets / database for easier updating of records and generation of various reports
• Generate reports for various stakeholders
• Any other duties as assigned

Job Requirements:

• Minimum Diploma in any field
• Prior experience in customer service or a related role
• Highly proficient in Microsoft Excel (e.g. formulas, Macro, basic analysis) and comfortable working with large datasets.

Interested applicants may email resume to kellychooi@recruitexpress.com.sg

Chooi Kelly (CEI Registration No: R25136207)

Recruit Express Pte Ltd (EA: 99C4599)

We regret only shortlisted candidates will be contacted

Location: Kallang Sector (Geylang Bahru/Potong Pasir)

Duration: 12 months contract

Working Hours: Monday - Friday, 8.30am -6pm

(May be required to work beyond 6pm and during weekends when necessary, only during peak period)

Salary: Up to $3100 + 1 month completion bonus

Job Responsibilities:

• Provide high quality customer service and professionalism when calling consumers to schedule appointments or for any matters
• Take ownership of managing excel spreadsheets / database including updating schedules, works carried out etc in the system
• Plan and deploy contractors and teams based on the latest updates in the excel spreadsheets / database
• Actively collaborate with various stakeholders and teams when handling issues
• Communicate effectively with consumers and stakeholders to ensure satisfactory and timely resolutions
• Continuously improve and enhance the spreadsheets / database for easier updating of records and generation of various reports
• Generate reports for various stakeholders
• Any other duties as assigned

Job Requirements:

• Minimum Diploma in any field
• Prior experience in customer service or a related role
• Highly proficient in Microsoft Excel (e.g. formulas, Macro, basic analysis) and comfortable working with large datasets.

Ally (Kubota Ayako)
CEI Reg. No. R26161457
EA Lic: 99C4599
Recruit Express Pte Ltd

• Possess a degree in Computer Science/Information Technology or related fields.
• Min 8 years of relevant working experience in software or data engineering with proficiency in Python.
• Strong experience in unit and integration testing.
• Familiarity with DevOps practices and Agile methodologies.
• Strong software engineering, analytical and problem-solving skills.
• Good team player and communication skill.
• CAT-1 cleared/eligible candidate is required for this role.
• Experience in AWS and Kubernetes (K8s)
• Familiarity with data platforms such as Snowflake, Apache Spark, or Apache Hive, as well as orchestration tools like Apache Airflow, Dagster, or Prefect.
• Familiarity with GitHub workflows and Datadog.
• Develop and maintain data pipelines and ETL/ELT processes, and ensuring maintainability through unit and integration testing.
• Collaborate with data teams to understand requirements and automate deployment and monitoring.
• Optimize data storage and troubleshoot issues to enhance performance.

Roles & Responsibilities

• Explore both qualitative and quantitative data sets, perform in-depth analysis to derive actionable insights, identify problems, and propose data-driven solutions for the WeChat ecosystem
• Collect large sets of structured and unstructured data from independent sources; clean, validate, and transform data to ensure accuracy, completeness, and uniformity
• Design and maintain dashboards, reports, and automated data pipelines to support ongoing business monitoring and decision-making
• Analyze data to identify patterns, trends, and anomalies, uncovering potential opportunities and/or threats to the WeChat ecosystem
• Interpret findings to discover solutions or opportunities and build story-boards to communicate insights to the business for action
• Own and evolve the computer vision infrastructure, including building, optimizing, and maintaining CV model training/serving pipelines, evaluation frameworks, and related toolchains
• Develop and deploy computer vision solutions (e.g., image/video understanding, OCR, content moderation, multimodal analysis) to address business needs across the WeChat ecosystem
• Leverage LLM-based approaches and other machine learning / deep learning techniques where appropriate to enhance analytical capabilities and support intelligent product features

Knowledge & Competencies:

• Bachelor's degree or above in Computer Science, Artificial Intelligence, Mathematics, Statistics, Data Science, or a similar quantitative field
• Hands-on experience with LLM application development (e.g., fine-tuning, RAG, Agent frameworks such as LangChain/LlamaIndex/AutoGen) is strongly preferred
• Experience with computer vision models (e.g., object detection, image classification, multimodal models) is a plus
• Good knowledge of Python; familiarity with C/C++ is a plus
• Familiarity with mainstream deep learning frameworks (PyTorch, TensorFlow) and model deployment tools (e.g., Docker, FastAPI, TensorRT) is preferred
• Experience with vector databases (e.g., Milvus, FAISS, Pinecone) or data pipeline tools is a plus
• Ability to communicate complex technical ideas to non-technical stakeholders in a clear and accessible manner
• Self-driven, innovative, and collaborative, with strong communication and presentation skills; able to bridge business and technical audiences
• Fluency in both English and Mandarin to collaborate with international stakeholders and headquarters-based teams
• A passion for exploring new technologies and a proactive approach to solving complex engineering challenges.

Job Duties & Responsibilities:

1. Work with large and complex financial datasets to develop end-to-end data science solutions for pricing various financial products, dynamic campaign optimization, and customer personalization.
2. Conduct research and literature review to assess and evaluate trade-offs between different quantitative algorithms and models.
3. Implement and train AI/ML models and optimize algorithm efficiency (GPU distributed computing, concurrent programming)
4. Refactor and document code into reusable libraries/ APIs/ tools, deploy machine learning ecosystems, and perform sub-system integration as required.
5. Integrate solutions into enterprise MLOps ecosystem and automate CI/CD pipelines for model lifecycle maintenance and monitoring.

Requirements:

1. Good understanding of the data science production life cycle with demonstrable experience working with structured, semi-structured and unstructured data.
2. Excellent software skills (Python, SQL variants) and knowledge in design patterns, code optimization, object-oriented programming.
3. Experience applying quantitative and machine learning algorithms for pricing and marketing.
4. Demonstrable expertise in some of the following domains - econometrics, statistical modelling, time-series analysis, signal processing, reinforcement learning, estimating causal relationships/ counterfactual effects, dynamic pricing.
5. Solid understanding of foreign exchange markets, including knowledge of currency pairs, market dynamics, and key drivers.
6. Hands-on experience in designing and executing digital campaigns and experimentation (A/B, Multivariate, Bandits, Sequential, quasi-experiments), evaluation methodologies (DiD variants), and conducting experiments to optimize campaign performance.

We are seeking an experienced Senior Data Analyst to lead the build and operationalisation of a robust data management platform across the region. This is a hands-on role suited for someone passionate about designing scalable data infrastructure and delivering reliable, production-grade data pipelines.

Experience with Microsoft Fabric is advantageous, but not required—candidates with strong data engineering fundamentals and a willingness to learn new technologies are encouraged to apply.

Data Platform & Pipeline Engineering

• Design, build, and optimise end-to-end data pipelines to ingest, process, and transform data from diverse regional.
• Develop scalable and maintainable data ingestion frameworks and processing patterns
• Establish a robust, high-performing data architecture to support analytics and downstream use cases

Data Management, Quality & Governance

• Embed data quality checks, validation rules, and monitoring within data pipelines
• Implement and support data governance practices including data lineage, metadata management, and access control (e.g., via tools like Microsoft Purview)
• Define and enforce data ownership, stewardship, and governance standards across the region
• Ensure compliance with internal policies and regional data regulations
• Collaborate with global data teams to align on governance frameworks, KPIs, and best practices

• Develop and maintain curated data layers and semantic models to support reporting and analytics needs

• Partner with business stakeholders to translate requirements into scalable data models
• Ensure consistency and standardisation of KPIs and reporting outputs across the region
• Support migration or integration of existing reporting platforms where relevant

Requirements/skills

• Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field
• Strong hands-on experience in building and managing data pipelines and data platforms
• Solid understanding of data modelling, data governance, and data quality best practices
• Exposure to cloud-based data platforms; familiarity with Microsoft Fabric or similar modern data platforms is a plus
• Proven ability to work in a fast-paced environment and adapt to new tools and technologies

EA License No. 01C4394

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