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Senior Data Engineer – Informatica

United Kingdom, London · Job Posted May 29, 2026
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Job Description

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
  • AWS ecosystem depth (Athena, Redshift, EC2, CloudWatch, IAM) and event driven patterns
  • AWS Certified Cloud Practitioner (or higher), Azure AI Fundamentals (awareness of ML/AI services)

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