Remote Senior Data Engineer SQL Server / AWS

This is not a role for someone just moving data from A to B with Python - it's for someone who understands how to model, optimise, and apply data to support better business decisions.

• Expertise in SQL Server (approx. 75% of the role) including performance tuning, data warehousing, and reporting.
• Experience with AWS data services (approx. 25%), particularly RDS, S3, Lambda, EventBridge, and building data pipelines in cloud-native environments.
• Proven delivery of dimensional/Kimball data models in collaboration with Data Analysts.
• Strong proficiency with Power BI, including performance optimisation and deployment strategies.
• Hands-on experience with Python for automation and data transformation (not just file handling).
• Understanding and experience of Data Governance frameworks and implementation.
• Exposure to CI/CD pipelines and source control for reports and analytics.
• Bonus: Familiarity with SageMaker or similar ML/predictive analytics platforms.

• Thinks like a data user, not just a data builder - with a strong sense of how to deliver real-world business outcomes.
• Is confident shaping and optimising data for analytical consumption.
• Collaborates well with analysts, product owners, and stakeholders to translate problems into solutions.

Why Join?

• Be part of a growing, innovation-led organisation committed to building intelligent, insight-driven systems.
• Access excellent benefits including hybrid working, on-site gym, CSR days, birthday leave, and more.
• Contribute to a high-impact, forward-looking data strategy with genuine business engagement.
• Hybrid working policy: This role is classed as hybrid, with the expectation of just one day per month/quarter in the Manchester office.