Data Engineer

Our client is a growing data and insights business. They are hiring a Data Engineer to join their Manchester-based team.

The company works with global brands, providing data-driven insights through a large-scale, privacy-first platform. As they continue to scale, they’re looking for a Data Engineer to play a key role in building and optimising their data pipelines and reporting capabilities.

You’ll be working on a large and complex data platform, developing and maintaining both real-time and batch ETL pipelines. This is a hands-on role focused on improving data quality, scalability, and performance.

You’ll collaborate closely with engineering and product teams, helping translate business requirements into robust, production-ready data solutions.

• Build and maintain real-time and batch ETL pipelines
• Monitor and improve data pipeline performance, architecture, and tooling
• Ensure data accuracy, integrity, and scalability
• Act as a subject matter expert for data pipelines and processes
• Work closely with stakeholders to define and deliver data solutions
• Review code and provide feedback to improve team quality
• Support production systems and troubleshoot issues
• Write clean, tested, and maintainable code
• Python & SQL
• Apache Spark (Scala or PySpark)
• Big data / distributed processing tools

• Strong experience as a Data Engineer using Python and SQL
• Experience working with AWS or similar cloud platforms
• Hands-on experience with Apache Spark
• Ability to work with large, complex datasets
• Strong problem-solving and analytical mindset
• Understanding of CI/CD, testing, and agile development practices
• Confident communicating with technical and non-technical stakeholders
• Exposure to AI tools for improving productivity is a bonus

• 🏡
  Hybrid working (2 days in office)
• ⏰ Participation in an on-call rota (with additional compensation)