Senior Data Engineer (Informatica)
Posted 2 days ago by Experis IT
£460 Per day
Inside
Hybrid
London, UK
Summary: The Senior Data Engineer (Informatica) role involves working on data projects with a focus on AWS and Azure technologies. The position requires SC clearance and is hybrid based in London, with a contract duration of 5 months. Essential skills include Informatica and data project experience, while desirable skills encompass a range of advanced data engineering practices and tools.
Key Responsibilities:
- Utilize Informatica for data engineering tasks.
- Manage data projects leveraging AWS and Azure platforms.
- Ensure data quality and performance tuning in complex domains.
- Implement CI/CD and DevOps practices for data pipelines.
- Collaborate with stakeholders and document technical processes.
- Build and consume APIs for data services.
- Engage in agile methodologies using tools like Jira and Confluence.
- Support data warehousing and modeling efforts.
- Work with BI developers to validate data flows.
Key Skills:
- Informatica
- Data project experience
- AWS
- Azure
- Hands-on expertise in AWS & Spark
- Data engineering at scale
- CI/CD & DevOps
- Version control & collaboration
- APIs & integration
- Agile methodologies
- Data warehousing & modelling
- Basic Power BI familiarity
- AWS ecosystem depth
Salary (Rate): £460 daily
City: London
Country: UK
Working Arrangements: hybrid
IR35 Status: inside IR35
Seniority Level: Senior
Industry: IT
Job Title: Senior Data Engineer (Informatica)
Day Rate: £400-460 - 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 (eg, 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 (eg, 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.