Data Engineer

Role: Data Engineer

Salary: Up to £70000

Technology - Databricks, Data Factory, SQL, Python

Location: Birmingham

Working Pattern: Hybrid - 2 days a week in the office.

The Role:

In this role, you will play a critical part in designing and delivering a high-performance, scalable data platform that underpins Intelligence Platform, powering insights for thousands of dealerships worldwide.

You will own the end-to-end data lifecycle - from ingesting and transforming complex data sets, to optimising performance and architecting secure, resilient, cloud-native storage solutions. This role is ideal for someone who thrives on building clean, robust data pipelines at scale, enjoys solving challenging data problems, and is excited to leverage modern cloud technologies and emerging AI capabilities to drive real-world impact.

Responsibilities:

• Design, build, and own a unified, cloud-native data platform that ingests and processes global data across our Automotive Intelligence Platform.
• Architect scalable, reusable data solutions, with a strong focus on componentisation, standardisation, and long-term maintainability.
• Deliver high-performance, highly reliable data pipelines, optimising throughput and latency to enable fast, dependable access to large and complex datasets.
• Integrate third-party data sources using bespoke pipelines and Azure Data Factory, ensuring data quality, consistency, and resilience.
• Design and enforce secure, flexible data access models that support both internal teams and external consumers.
• Partner closely with data visualisation and product teams to ensure back-end data processing aligns seamlessly with front-end analytics and reporting needs.
• Embed quality and automation by establishing unit and integration testing standards and supporting CI/CD pipelines across the data estate.
• Proactively identify and resolve bottlenecks across the data stack, leading investigations into performance, reliability, and scalability issues.
• Provide platform support, diagnosing and resolving data-related incidents and tickets to maintain service excellence.
• Enable multi-language data presentation, supporting globalisation requirements across the platform.
• Explore and implement AI-driven capabilities to improve data accuracy, productivity, and insight generation.

Requirements:

• Azure Databricks
• SQL / Python
• ELT / ELT
• Data Factory

Benefits

• Bonus scheme / Share scheme
• 25 days holiday plus all UK bank holidays
• 4x life assurance
• Enhanced family-friendly leave
• Employee Assistance Programme (EAP)
• Ongoing training & professional development
• Free onsite gym
• Cycle to Work scheme
• Eyecare vouchers
• Regular social events
• Employee recognition and awards

Apply Now!

If you have a range of experience in Data Engineering and you are looking to progress with an organisation that has a fantastic approach to work in a thriving and ambitious environment, then look no further - this is the role for you!

Please note: this role does not offer sponsorship.

Referrals:

If this role isn't right for you, do you know someone that might be interested? You could earn £500 of retail vouchers if you refer a successful candidate to Oscar. Email: mark.whales@oscar-tech.com to recommend someone for this role.

Interviews for this role will be held imminently. To be considered, please send your CV to me now to avoid disappointment.

Role: Data Engineer

Salary: Up to £70000

Technology - Data Bricks, Data Factory, SQL, Python

Location: Birmingham

Working Pattern: Hybrid - 2 days a week in the office.

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