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Whitehall Resources currently require an experienced Data Engineer to work with a key client based in London. **Please note this role falls INSIDE IR35**
Job Responsibility
Engineer production grade data pipelines on AWS (EMR, S3, Lambda), using PySpark/Python and SQL, with a focus on performance, resilience, testing, and observability
Migrate and modernise legacy workloads (e.g., ETL jobs and reporting feeds) onto cloud native services, creating reusable components and shared frameworks
Support reporting & MI use cases, including transformations and data models that feed downstream tools (e.g., Power BI)
Own CI/CD and version control practices (e.g., Git/GitLab), review code, and enforce engineering standards
Coach and mentor engineers, provide technical guidance/code reviews, and contribute to architectural decisions across squads
Work in Agile delivery, collaborating across product, data, and platform teams using Jira/Confluence
translate requirements into robust engineering tasks
Embed security and compliance by design, aligning with BPSS/SC constraints and department data handling policies
Requirements
Hands on expertise in AWS & Spark: Amazon EMR, S3, Lambda
strong PySpark/Python and SQL for large scale batch processing
Data engineering at scale in government or similarly complex domains, including performance tuning and data quality management
CI/CD & DevOps: pipelines and IaC (e.g., Terraform), automated testing, and release governance
Version control & collaboration: Git/GitLab, code review, branching strategies, and trunk/PR workflows
APIs & integration: building/consuming data services to move and expose data safely and reliably
Agile ways of working with Jira/Confluence
clear stakeholder communication and concise technical documentation
Security clearance: BPSS (minimum) and SC cleared or SC clearable for UK government work.
Nice to have
Data warehousing & modeling (e.g., Redshift
dimensional modeling
dbt)
Basic Power BI familiarity to partner with BI developers and validate end to end data flows