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

25 days holiday + birthday off

Job summary

hireful is hiring a Senior Data Engineer to shape the future of its data platform. The role is remote with occasional London visits, offering up to £85,000 base plus a 10% bonus and extensive benefits.

You will design and maintain scalable data pipelines, optimise ETL/ELT processes and contribute to the data architecture. You will collaborate across Finance, Product, Sales, Marketing and Engineering and mentor junior staff.

Qualifications

• Senior-level experience in data engineering with hands-on Databricks skills.
• Advanced SQL and Python coding skills.
• Track record of building enterprise-scale data pipelines and ETL/ELT solutions.
• Solid grounding in data architecture, modelling and platform design.
• Cloud experience (AWS preferred, Azure OK) and CI/CD familiarity.

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 translate 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

Senior data engineering

SQL

Python

Databricks

ETL/ELT

Data architecture

Cloud (AWS/Azure)

CI/CD

Tools

Databricks

PySpark

Spark SQL

Delta Lake

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.
• 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.

Summary

• Department: Technology
• Job Type: Full time
• Contract Type: Full time
• Closing Date: 2026-11-20T23:59:00.000Z