Data Engineer

Base pay range

Data Engineer (Contract)
Location: London (2-3 days onsite)
Contract until: 31 December 2026
PAYE via Umbrella
Security: BPSS eligibility required

The Role

We are looking for an experienced Data Engineer to join a high‑performing data team, delivering scalable and reliable data solutions within a complex enterprise environment. This is a hands‑on role, ideal for someone passionate about building robust data platforms and driving real business value from data.

Key Responsibilities

• Design, build, and maintain data pipelines and ELT workflows on Databricks , following Medallion architecture .
• Analyse data requirements and apply advanced data modelling techniques (including Data Vault ) and data quality frameworks.
• Collaborate with data architects, analysts, product managers, and QA teams to deliver trusted data sets.
• Document data flows, transformations, and processes to support knowledge sharing and ongoing operations.
• Contribute to solution design, code reviews, and continuous platform improvement within Agile teams.
• Drive high‑quality, high‑performance data outcomes with a problem‑solving mindset.

Skills & Experience

• Strong hands‑on experience with SQL , Python , and data integration/ingestion patterns.
• Proven expertise in Databricks , Delta Lake , notebooks, and modern data warehousing concepts.
• Experience with ETL tools such as Informatica IICS and Azure Data Factory .
• Solid background working with Azure cloud platforms (preferred).
• Experience integrating and modelling insurance or reinsurance domain data (Lloyd's/specialty market experience highly desirable).
• Strong knowledge of on‑prem and cloud databases (e.g. Oracle , SQL Server ).
• Familiarity with Agile delivery frameworks (Scrum, SAFe) and tools such as Jira and Azure DevOps .
• Understanding of data security considerations and tooling within modern data platforms.
• Excellent communication skills and a collaborative, team‑focused approach.

Nice to Have

• Professional certifications in Azure and/or Databricks .

Seniority level

• Entry level

Employment type

• Full‑time

Job function

• Information Technology

Industries

• Technology, Information and Internet

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