Quick Overview
Job Description
Are you an experienced Data Engineer? Ready and available to support the delivery of an AWS-based data solution for a leading MSC working with a Government end client. You will be working closely with the Technical Lead to deliver reliable, production-ready data solutions and build scalable data pipelines, transforming complex datasets, and implementing data-matching and record-linkage solutions.
Key Responsibilities
- Design, develop and maintain scalable ETL/ELT pipelines using Spark and Python Scripting.
- Ingest, transform and validate data from multiple sources and formats.
- Implement data matching, deduplication, and record-linkage processes.
- Develop automated testing, monitoring, and data quality controls.
- Optimise data pipelines for performance, scalability, and cost.
- Apply engineering best practices, including Git, CI/CD and secure development.
- Collaborate with technical teams and stakeholders within an Agile environment.
Essential Skills & Experience
- Active SC clearance
- Strong hands-on experience with Spark, Python and SQL.
- Experience working within Agile/Scrum delivery teams.
- Proven experience building production-grade data pipelines.
- Strong understanding of ETL/ELT, data modelling and data quality.
- Experience with data matching, record linkage or complex data transformations.
- Experience with automated testing, Git and CI/CD.
This is a fully remote role but will require "key touch points" in the programme, as well as laptop collection & ID verification.
You must have or previously have held SC clearance. If this is you? If so, apply immediately.
This role is inside IR35
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