Senior Data Engineer (Informatica) - SC Cleared
Posted 2 days ago by fortice
£450 Per day
Inside
Hybrid
London - Hybrid, UK
Summary: The Senior Data Engineer (Informatica) role requires expertise in data engineering, particularly with Informatica, AWS, and Azure. The position is remote but based in London, and candidates must have SC clearance. The role involves working on data projects and requires both essential and desirable skills in data management and engineering practices.
Key Responsibilities:
- Utilize Informatica for data engineering tasks.
- Manage and execute data projects effectively.
- Implement solutions using AWS and Azure technologies.
- Ensure data quality and performance tuning in complex domains.
- Develop CI/CD pipelines and manage DevOps practices.
- Collaborate using version control systems like Git/GitLab.
- Build and consume APIs for data services.
- Work in Agile environments and communicate with stakeholders.
- Engage in data warehousing and modeling activities.
- Support BI developers with Power BI and validate data flows.
Key Skills:
- Informatica experience.
- Data project experience.
- AWS and Azure proficiency.
- Hands-on expertise in AWS & Spark.
- Data engineering at scale.
- CI/CD & DevOps knowledge.
- Version control & collaboration skills.
- API development and integration.
- Agile methodologies experience.
- Data warehousing & modeling knowledge.
- Basic Power BI familiarity.
- AWS ecosystem depth.
- Security clearance (BPSS and SC-cleared or clearable).
Salary (Rate): £450/day
City: London
Country: UK
Working Arrangements: hybrid
IR35 Status: inside IR35
Seniority Level: Mid-Level
Industry: IT
Senior Data Engineer (Informatica)
Clearance required: SC cleared
Nationality requirement: N/A
Location: London - Remote
Job Description:
Essential Skills:
- Informatica experience
- Data project experience
- AWS
- Azurey
Desirable
- 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.
- Security clearance: BPSS (minimum) and SC-cleared or SC-clearable for UK government work.
- Data warehousing & modelling (eg, Redshift; dimensional modelling; 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.
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. You will require additional vetting for this position, which means the process can take longer than the usual onboarding process with Capgemini. Please do not hesitate to get in touch if you have any queries.'