Data Engineer

Oscar Associates Limited; Birmingham; Hybrid; GBP 59,000 - 70,000; Full time

Job summary

A leading recruitment agency is seeking a Data Engineer in Birmingham to design and build a scalable, high-performance data platform. This hybrid role offers the opportunity to own the full data lifecycle and work with modern technologies. Ideal candidates will excel in developing robust data pipelines and solving complex data challenges. The salary is competitive, reaching up to £70,000.

Responsibilities

• Design and own a cloud-native data platform for global data ingestion and processing.
• Architect scalable data solutions focused on standardisation and maintainability.
• Deliver reliable data pipelines to ensure fast access to large datasets.

Skills

Databricks

Data Factory

SQL

Python

Job description

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 d...