Senior Data Engineer - Databricks

hireful; Greater London; Remote; GBP 77,000 - 94,000; Full time

Benefits offered by this job

Health insurance

Income protection

Life assurance

Subsidised gym membership

25 days' holiday

Your birthday off

Job summary

hireful is seeking a Senior Data Engineer to join a fast-growing software business with 400+ staff. The role is remote in the UK with occasional visits to the London office, offering up to £85,000 base salary plus a 10% bonus and extensive benefits.

You will design and optimize scalable data pipelines, shape the data platform, and mentor junior engineers. You will collaborate with Finance, Product, Sales and Engineering to translate business needs into robust data solutions, ensure data

Responsibilities

• 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.

Job description

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