Senior Data Engineer (Informatica)
Posted Today by Experis
£460 Per day
Inside
Hybrid
London
Summary: The Senior Data Engineer (Informatica) role involves working on data projects with a focus on Informatica, AWS, and Azure technologies. The position requires SC clearance and is based in London with a hybrid working arrangement. The contract duration is five months, and the role is compensated at a daily rate between £400 and £460. Essential and desirable skills include expertise in data engineering, cloud services, and CI/CD practices.
Key Responsibilities:
- Develop and manage data projects using Informatica and cloud technologies.
- Ensure data quality and performance tuning in complex domains.
- Implement CI/CD pipelines and DevOps practices.
- Collaborate with stakeholders and document technical processes.
- Build and consume APIs for data services integration.
- Support data warehousing and modelling efforts.
- Work in Agile environments using tools like Jira and Confluence.
Key Skills:
- Informatica
- Data project experience
- AWS
- Azure
- Hands-on expertise in AWS & Spark (Amazon EMR, S3, Lambda)
- Strong PySpark/Python and SQL skills
- CI/CD & DevOps knowledge
- Version control with Git/GitLab
- API development and integration
- Agile methodologies
- Data warehousing & modelling
- Basic Power BI familiarity
- AWS ecosystem knowledge (Athena, Redshift, EC2, CloudWatch, IAM)
Salary (Rate): £460 daily
City: London
Country: United Kingdom
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 (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.
