Data Engineer

Salary: £40,000 - 45,000 per year

Requirements

• Strong SQL skills, including writing advanced stored procedures
• Hands-on experience with Azure Synapse (pipelines and notebooks)
• Experience building or working within modern data warehouse architectures
• Ability to get up and running quickly without heavy onboarding
• Nice to have: Python, PySpark or Spark experience
• Exposure to APIs and external data integration
• Experience working in evolving or transforming data environments
• Desire to improve and evolve processes rather than just maintain them
• Comfort in constructively challenging existing approaches
• Enjoyment in solving problems and taking ownership

Responsibilities

• Designing and building scalable data pipelines from scratch
• Shaping how data is structured, governed, and utilized across the business
• Influencing technical direction and introducing better methods of working
• Assisting the organization in moving towards predictive and insight-driven decision making
• Building and optimizing data pipelines using Azure Synapse (pipelines and notebooks)
• Writing and maintaining robust SQL, including complex stored procedures
• Designing and implementing modern data warehouse architecture (medallion model)
• Ensuring data quality, validation, and reliability across the platform
• Integrating data from APIs and multiple internal sources
• Collaborating with stakeholders to turn data into actionable insights

Technologies

• Azure
• Data Warehouse
• Python
• PySpark
• SQL
• Spark
• Cloud

More

We are seeking a Data Engineer for a remote-first position across the UK, requiring 12 days per month in the Manchester area. This is a unique opportunity to join a business heavily investing in its data capabilities. You will have the chance to shape a modern data platform from the ground up, moving away from reactive reporting towards an insight-led architecture built on Azure Synapse. We value curiosity, improvement, and collaboration within our team, and offer flexibility, growth opportunities, and access to training and new technologies. If you are looking for a role where you can genuinely influence a data platform and grow alongside it, we encourage you to explore this opportunity.

last updated 13 week of 2026