Senior Data Engineer

hireful; West of England; Remote; GBP 77,000 - 94,000; Full time

Benefits offered by this job

Health insurance

Income protection

Life assurance

Gym membership

Birthday off

25 days holiday

Job summary

hireful in the UK is seeking a Senior Data Engineer to shape and scale its data platform for enterprise customers worldwide. This hands-on role focuses on Databricks, PySpark, Spark SQL and Delta Lake to deliver robust data products.

You will design pipelines, govern data quality, and collaborate with Finance, Product, Sales, and Engineering to solve complex business problems. Remote-friendly with London visits.

Qualifications

• Senior level experience in data engineering with hands-on Databricks skills.
• 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.
• Cloud experience, preferably AWS (Azure is totally fine), and familiarity with CI/CD and source control best practice.
• Desirable: ML/AI & data/predictive modelling strategies.

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.

Skills

Databricks

PySpark

Spark SQL

Delta Lake

SQL

Python

Data pipelines

Data architecture

Cloud AWS

Azure

CI/CD

Tools

CI/CD tooling

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.

Job Type: Full time

Contract Type: Full time

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.
• 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! Extensive benefits package including health insurance, income protection, life assurance, subsidised gym membership and 25 days’ holiday plus your birthday off.

If you're a Databricks specialist who wants to build something from the ground up rather than maintain someone else's legacy, we'd love to hear from you.