Senior Informatica Data Engineer
Posted Today by eTeam Workforce Limited
£447 Per day
Inside
Remote
London/Remote, UK
Summary: The Senior Informatica Data Engineer role involves working with data engineering projects, primarily utilizing Informatica, AWS, and Azure technologies. The position requires SC clearance and offers a competitive pay rate while allowing for remote work. Candidates should possess strong technical skills in data processing and engineering, with a focus on collaboration and agile methodologies.
Key Responsibilities:
- Utilize Informatica for data engineering tasks.
- Engage in data projects leveraging AWS and Azure technologies.
- Implement CI/CD and DevOps practices including automated testing and release governance.
- Collaborate with stakeholders and document technical processes clearly.
- Work on data warehousing and modeling, ensuring data quality and performance tuning.
- Build and consume APIs for data services integration.
Key Skills:
- Informatica experience.
- Data project experience.
- AWS and Azure proficiency.
- Hands-on expertise in AWS & Spark, including Amazon EMR, S3, and Lambda.
- Strong skills in PySpark/Python and SQL for large-scale batch processing.
- Experience with CI/CD, DevOps, and version control systems like Git/GitLab.
- Familiarity with Agile methodologies and tools like Jira/Confluence.
- Basic knowledge of Power BI.
- AWS ecosystem depth including Athena, Redshift, and CloudWatch.
- Certifications such as AWS Certified Cloud Practitioner or Azure AI Fundamentals are desirable.
Salary (Rate): £447 per day
City: London
Country: UK
Working Arrangements: remote
IR35 Status: inside IR35
Seniority Level: Mid-Level
Industry: IT
We are a Global Recruitment specialist that provides support to the clients across EMEA, APAC, US and Canada. We have an excellent job opportunity for you.
Job Title: Senior Informatica Data Engineer
Pay rate: £447 per day all Inc. (PAYE through Umbrella)
Clearance required: SC cleared
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.
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).
If you are interested in this position and would like to learn more, please send through your CV and we will get in touch with you as soon as possible. Please note, candidates are often Shortlisted within 48 hours.