Job Title: Senior Data Engineer (Informatica) Day Rate: (Apply online only) - Umbrella only Clearance required: SC cleared Location: London/Hybrid Duration: 5 monthsEssential Skills: InformaticaData project experienceAWSAzure Desirable Skills: Hands-on expertise in AWS and 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 and DevOps: pipelines and IaC (e.g., Terraform), automated testing, and release governance.Version control and collaboration: Git/GitLab, code review, branching strategies, and trunk/PR workflows.APIs and 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 and 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 appli