Data Engineer (Databricks)

Potentiam is a fast-growing global offshore solutions provider connecting top talent with leading UK and European businesses. With offices across South Africa, Romania, India, and Brazil, we offer international exposure, real career progression, and the opportunity to work with high-performing global teams.

We combine global opportunity with local support - giving you the chance to grow, make an impact, and build a long-term career in a business that’s scaling fast.

Global clients. Clear progression. Real opportunity.

We are an equal opportunity employer. We encourage applications from people with disabilities and will provide reasonable accommodations during the hiring process.

About Our Client

Our client helps organisations unlock value from their customer base, improve efficiency through AI, and build strong data foundations that support scalable growth. Their teams combine industry expertise with advanced AI and data capabilities to deliver solutions that simplify complexity, accelerate outcomes, and strengthen internal capabilities. They focus on end-to-end transformation, enabling businesses to design, optimise, and scale personalised customer engagement strategies that drive meaningful value for both the business and its customers.

Purpose of Role

As a Core Data Engineer, you will design, build, and optimize data pipelines, architectures, and workflows to support a diverse range of clients. You’ll collaborate within cross-functional, multi-disciplinary teams to deliver scalable data solutions while following best practices and staying aligned with emerging trends in data engineering. This role offers an excellent opportunity for an early-career data engineer to grow professionally, gain exposure across multiple commercial sectors, and develop skills by working alongside experienced professionals in a collaborative, fast-paced environment.

Roles & Responsibilities

• Data Pipeline Development: Design and implement robust, scalable, and efficient data pipelines to collect, transform, and integrate data from various sources.
• Data Architecture: Develop and optimize data architectures, including data warehouses, data lakes, and other storage solutions.
• ETL/ELT Processes: Create and maintain reliable ETL/ELT workflows that ensure data quality and accessibility.
• Collaboration: Work closely with data scientists, analysts, and client stakeholders to understand requirements and deliver impactful solutions.
• Performance Optimisation: Monitor and enhance the performance of data systems to ensure minimal downtime and fast query responses.
• Automation and Tools: Identify opportunities for automation and recommend tools to improve data engineering workflows.
• Documentation: Maintain detailed technical documentation for all solutions and processes.

Skills, Qualfications & Abilities

• Programming: Proficiency in Python, or similar languages for data processing.
• Big Data Technologies: Hands-on experience with big data tools e.g. (primarily Databricks, Apache Spark, Hadoop).
• Cloud Platforms: Familiarity with Azure or other cloud ecosystems for data engineering tasks.
• Database Management: Expertise in relational databases (e.g. postgres, sql server)
• Data Integration Tools: Knowledge of platforms like Airflow, Apache NiFi, or Talend.
• Data Storage and Modelling: Experience with data warehousing tools (e.g. Snowflake, Redshift, BigQuery) and schema design.
• Version Control and CI/CD: Familiarity with Git, Docker, and CI/CD pipelines for deployment.

Data Privacy Notice

The personal information you provide during the application and recruitment process will be used solely for recruitment purposes, in accordance with our data protection policies.

For any questions regarding data processing related to HR activities, please contact Chantal Endemann at careers@potentiam.co.uk.

All data shared with third parties complies with applicable confidentiality and retention requirements.