Job Title: Senior Data Engineer (Informatica)
Day Rate: -(Apply online only) - Umbrella only
Clearance required: SC cleared
Location: London/Hybrid
Duration: 5 months

Essential Skills:

• Informatica
• Data project experience
• AWS
• Azure

Desirable Skills:

• 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.
• Data warehousing & modelling (e.g., Redshift; dimensional modelling).
• 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.

Certifications (nice to have)

AWS Certified Cloud Practitioner (or higher), Azure AI Fundamentals (awareness of ML/AI services).

This role requires additional vetting, which means this could take longer than our normal onboarding process.

All profiles will be reviewed against the required skills and experience. Due to the high number of applications we will only be able to respond to successful applicants in the first instance. We thank you for your interest and the time taken to apply!

If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website.