Senior Data Engineer (Databricks)

iO Associates; West Midlands; Hybrid; GBP 50,000 - 60,000; Full time

Job summary

A market-leading automotive technology company in Birmingham is seeking a Senior Data Engineer to develop scalable data solutions and maintain a unified data platform. This role offers up to £60,000 salary, hybrid work flexibility, and various benefits, including ongoing training and social events.

Benefits

25 days holiday + bank holidays

Life assurance

Free onsite gym

Regular social events

Ongoing training and professional development opportunities

Qualifications

• Strong understanding of data engineering principles.
• Hands-on experience with Azure Databricks and Python/PySpark.
• A track record of building secure, scalable data pipelines.

Responsibilities

• Building and maintaining a unified data platform for global data processing.
• Developing reusable and scalable data solutions using Databricks.
• Troubleshooting and resolving data-related issues.

Skills

Data engineering principles

Lakehouse architecture

ETL/ELT processes

Python/PySpark

SQL Server

Azure Blob Storage

Tools

Azure Databricks

Azure Data Factory

Job description

Title: Senior Data Engineer (Databricks)

Salary: Up to £60,000

Location: Birmingham (Hybrid)

Are you a Data Engineer looking to work on large-scale, global data solutions that actually make an impact?

This is a fantastic opportunity to join a market-leading automotive technology company that's shaping the future of connected data and intelligent platforms worldwide.

You'll be joining a collaborative, forward-thinking data team focused on building a modern, scalable data infrastructure that powers insights for thousands of dealerships across the globe.

What you'll be doing:

• Building and maintaining a unified data platform for global data processing.
• Developing reusable and scalable data solutions using Databricks, Python/PySpark, and Azure.
• Working closely with the data visualisation team to align back-end and front-end needs.
• Designing secure data access models and integrating external data sources via Azure Data Factory.
• Supporting CI/CD processes, implementing testing practices, and optimising performance.
• Troubleshooting and resolving data-related issues to keep things running smoothly.

What we're looking for:

• Strong understanding of data engineering principles, Lakehouse architecture, ETL/ELT, warehousing, and stream processing.
• Hands-on experience with Azure Databricks, Python/PySpark, SQL Server, and Azure Blob Storage.
• A track record of building secure, scalable data pipelines and solving complex problems.
• Great communication and documentation skills with a proactive, improvement-focused mindset.

What's on offer:

• Up to £60,000 salary depending on experience
• Hybrid working model (Birmingham HQ)
• 25 days holiday + bank holidays
• Life assurance, free onsite gym, and regular social events
• Ongoing training and professional development opportunities

If you're ready to take the next step in your data engineering career, apply now or reach out directly at to discuss in more detail.