At a Glance
- Tasks: Design and build data pipelines, ensuring high-quality data solutions.
- Company: Join a dynamic tech team in London with a focus on innovation.
- Benefits: Competitive pay, flexible work arrangements, and opportunities for growth.
- Other info: Collaborative environment with a focus on continuous improvement.
- Why this job: Make a real impact by driving business value through data.
- Qualifications: Experience with SQL, Python, and modern data warehousing tools.
The predicted salary is between 50000 - 60000 £ per year.
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.
Data Engineer employer: Hydrogen
Join a prestigious law firm in London that values excellence and innovation, offering private equity lawyers a dynamic work environment where collaboration and professional growth are at the forefront. With a commitment to employee development, competitive benefits, and a vibrant culture, this firm provides a unique opportunity to thrive in one of the world's leading financial hubs.
