Senior / Lead Data Engineer
Location: London (Hybrid)
Duration: 6-Month Contract (High potential for 1+ year extension or perm conversion)
Day rate - 370 - 450 per day Inside IR35
The Role
My Client is financial service is launching a new divisional data team to build a next-generation enterprise data platform. Reporting to the AVP of Data Engineering, you will define engineering best practices, build data-intensive pipelines, and bridge the gap between global business units and technical delivery.
Key Responsibilities
* Build & Scale: Design, test, and maintain robust data pipelines and data warehouse architecture.
* Governance & Quality: Lead code/architecture reviews, enforce IT controls, and optimize system quality.
* Mentorship: Provide technical guidance and assistance to junior development staff.
* Collaboration: Partner with global stakeholders to translate business needs into technical outputs.
Requirements & Tech Stack
Core Technical Skills
* Databases: Expert SQL skills; extensive experience with Snowflake and MS SQL Server.
* ETL & Modeling: Strong experience with dbt and at least one ETL tool (Matillion, Fivetran, SNP Glue, or Informatica).
* CI/CD: Hands‑on experience with Azure DevOps (or similar) and shell scripting.
* Engineering Principles: Deep understanding of data modeling, curation, orchestration, and TDD/unit testing.
Soft Skills & Nice‑to‑Haves
* Agile approach, excellent stakeholder communication, and a results‑oriented mindset.
* Pluses: Insurance/Reinsurance industry experience, PowerBI/Tableau, SAP, or NoSQL (DynamoDB/Cosmos).
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