Data Engineer

Hydrogen Group; Greater London; Hybrid; GBP 40,000 - 60,000; Full time

Job summary

A leading data solutions company is looking for an experienced Data Engineer to join their high-performing team in London. This role involves designing and maintaining data pipelines, analyzing data requirements, and collaborating with various stakeholders to deliver reliable data solutions. Candidates should have strong skills in SQL, Python, and Databricks, with experience in cloud platforms like Azure being beneficial. The position offers 2-3 days onsite work and is on a contract basis until December 2026.

Qualifications

• Strong hands-on experience with SQL and Python.
• Proven expertise in Databricks and Delta Lake.
• Experience with ETL tools like Informatica IICS and Azure Data Factory.
• Solid background with Azure cloud platforms.
• Experience integrating and modeling insurance or reinsurance domain data.

Responsibilities

• Design and maintain data pipelines and ELT workflows on Databricks.
• Collaborate with teams to deliver trusted data sets.
• Document data flows and transformations.
• Drive high-quality data outcomes within Agile teams.
• Contribute to solution design and code reviews.

Skills

SQL

Python

Databricks

Delta Lake

Informatica IICS

Azure Data Factory

Agile delivery frameworks

Jira

Azure DevOps

Data Vault

Tools

Oracle

SQL Server

Job description

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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