Data Engineer
UBDS
full-time
Posted on:
Location Type: Hybrid
Location: London • United Kingdom
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About the role
- Help translate business problems into data, analytical and technical tasks with support from senior colleagues.
- Design, build and maintain data pipelines, models and products using SQL, Python and modern data engineering tools.
- Work with data warehouses, lakehouse platforms and event-driven patterns, including building semantic models for analytics and visualisation.
- Contribute to solutions built on cloud data and AI platforms (AWS/Azure), following good software engineering, testing and CI/CD practices.
- Apply analytics, experimentation, AI/ML integration, governance, security and data quality practices as part of delivery teams.
- Create clear data visualisations and explanations that help users understand and act on insights.
- Work closely with users and stakeholders in Agile, client-driven environments, learning from live services and user feedback.
- Follow relevant industry and government standards and contribute to solutions that are well documented, maintainable and easy to hand over.
Requirements
- Experience translating business questions into data or analytical requirements, with guidance where needed.
- Good SQL and Python skills for data modelling, transformation, automation and analysis.
- Experience working with data models in data warehouses, lakehouse environments or analytics tools such as Power BI.
- Familiarity with modern data engineering frameworks and tools (e.g. Spark / PySpark, Pandas, orchestration tools).
- Experience working with cloud data platforms on AWS or Azure (e.g. Databricks, Redshift, Microsoft Fabric).
- Understanding of software engineering fundamentals, including Git, testing, CI/CD and modular design.
- Basic analytics and statistical understanding, including metrics and simple experimentation.
- Awareness of AI/ML concepts, such as using model APIs or prompts, with a desire to build experience in this area.
- Understanding of data governance, security and quality concepts, including access control and GDPR considerations.
- Experience communicating insights through data visualisation using tools like Power BI, Tableau or Python charts.
Benefits
- Training – All team members are offered a number of options in terms of personal development, whether it is technical led, business acumen or methodologies. We want you to grow with us and to help us achieve more
- Private medical cover for you and your spouse/partner, offered via Vitality
- Discretionary bonus based on a blend of personal and company performance
- Holiday – You will receive 25 Days holiday, plus 1 day for Birthday and 1 day for your work anniversary in addition to UK bank holidays
- Electric Vehicle leasing with salary sacrifice
- Contributed Pension Scheme
- Death in service cover
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
SQLPythondata modelingdata transformationdata automationdata analysisdata engineering frameworksAI/ML integrationdata visualizationstatistical analysis
Soft Skills
communicationcollaborationproblem-solvingadaptabilityuser feedback incorporationstakeholder engagementAgile methodologydocumentationlearningclient-driven approach