Job AdvertUK HQ based & fast-growing software business (400+ staff, globally), serving hundreds of enterprise customers worldwide, are looking for a Senior Data Engineer to help shape the future of its data platform.
Location: UK, remote with very occasional visits to the office in London.
Salary: Up to £85,000 basic, plus 10% bonus and an extensive benefits package.
What you’ll be doing
- Design, build and maintain scalable data pipelines and data products using Databricks, PySpark, Spark SQL and Delta Lake.
- Develop and optimise ETL/ELT processes to ingest, transform and curate data from internal and external systems.
- Shape enterprise data architecture, balancing scalability, performance, security and maintainability.
- Partner with stakeholders across Finance, Product, Sales, Marketing and Engineering to turn business challenges into technical solutions.
- Embed data quality, governance and access controls throughout the data lifecycle.
- Mentor a junior engineer and help mature a growing data function.
What you need to bring
- “Senior” level experience in data engineering, with strong hands-on Databricks skills (PySpark, Spark SQL, Delta Lake, etc)
- Advanced SQL and Python coding skills.
- A track record of building and optimising enterprise-scale data pipelines and ETL/ELT solutions.
- Solid grounding in data architecture, modelling and modern data platform design.
- Experience of mentoring more junior Data Enigneers
- A broad range of data source experience (structured & unstructured): from CRM / revenue data, to financial data & subscription usage data.
- Cloud experience, preferably AWS (but Azure is totally fine), and familiarity with CI/CD and source control best practice.
- Desirable: More Data Science leaning background or want to explore in this role: ML / AI & data / predictive modelling strategies.
Why you'll love this job
A highly visible, hands-on role with real influence over data architecture and platform strategy. Join a small, high-impact team at the heart of the company's data strategy, with genuine scope to shape how it evolves.
We are near the beginning of our Data Ops' journey - so an excellent opportunity to shape the future!
- Health insurance
- Income protection
- Life assurance
- Subsidised gym membership
- 25 days' holiday
- Your birthday off
Summary
- Department: Technology
- Job Type: Full time
- Contract Type: Full time
- Closing Date: 2026-12-05T23:59:00.000Z
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