Senior Data Engineer
UBDS
full-time
Posted on:
Location Type: Hybrid
Location: London • United Kingdom
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Job Level
About the role
- Turn ambiguous business problems into clear data, analytical and technical solutions.
- Design, build and operate production-grade data pipelines, models and products using SQL, Python and modern data engineering frameworks.
- Architect and work across data warehouses, lakehouse and event-driven patterns, including strong semantic models for analytics and visualisation.
- Deliver solutions on cloud data and AI platforms (AWS/Azure), applying solid software engineering, testing and CI/CD practices.
- Embed analytics, experimentation, AI/ML integration, governance, security and data quality best practices by default.
- Create clear data visualisations, narratives and consultant-grade materials that help clients understand and act on insight.
- Work closely with users and stakeholders in Agile, client-driven environments, learning from live services and real-world feedback.
- Apply strong critical thinking, attention to detail and relevant industry and government standards to deliver solutions that are easy to hand over, maintain and evolve.
Requirements
- Ability to translate ambiguous business problems into clear data, analytical and technical requirements.
- Strong SQL and Python skills for data modelling, transformation, automation and analysis.
- Experience designing data models and architectures across data warehouses, lakehouse and event-driven patterns, or strong semantic modelling in Power BI or other visualisation tools.
- Hands-on experience with modern data engineering frameworks such as Spark / PySpark, Pandas and orchestration tools.
- Experience working with cloud data and AI platforms on AWS or Azure (e.g. Databricks, Redshift, Bedrock, Microsoft Fabric).
- Solid software engineering fundamentals, including Git, testing and QA, CI/CD pipelines and modular, maintainable design.
- Strong analytics and statistical reasoning, including metric design, experimentation and interpretation of results.
- Practical AI/ML literacy, including integrating model APIs, evaluation approaches and prompt orchestration.
- Experience applying data governance, security and quality best practices, such as access control, data catalogues, lineage and GDPR awareness.
- Ability to communicate insight through data visualisation and storytelling using tools like Power BI, Tableau or Python-based 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 modellingdata transformationdata automationdata analysisdata engineering frameworksAI/ML integrationsoftware engineeringstatistical reasoning
Soft Skills
critical thinkingattention to detailcommunicationproblem-solvingcollaborationadaptabilityclient-driven approachstorytellinganalytical thinkinguser engagement