Data Engineer
Posted 2 weeks ago by Us3 Consulting
Negotiable
Undetermined
Undetermined
Stockport, England, United Kingdom
Summary: The Data Engineer role involves building and managing reliable data flows that support reporting, analytics, and operational insights. The position requires expertise in data movement, transformation, and management within a cloud data platform. Collaboration with analysts and engineers is essential to deliver comprehensive data solutions. The role emphasizes the importance of data accuracy, timeliness, and usability.
Key Responsibilities:
- Build and maintain scalable data feeds from internal systems, APIs, and external sources
- Create efficient data transformations and structures for analytics and business use
- Manage automated workflows, monitoring, and recovery to keep data moving reliably
- Deploy changes safely across non-prod and production environments
- Apply data validation, documentation, and governance standards
- Work closely with analysts and engineers to deliver end-to-end data solutions
Key Skills:
- Proven experience delivering production data pipelines on a modern data platform
- Strong SQL and Python skills
- Hands-on experience with workflow orchestration tools
- Solid understanding of data modelling for analytics
- Experience with Azure data services (e.g. Synapse, Data Factory)
- Familiarity with CI/CD, version control, and multi-environment deployments
Salary (Rate): undetermined
City: Stockport
Country: United Kingdom
Working Arrangements: undetermined
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Data Engineer
Data specialist needed to build and run dependable data flows that power reporting, analytics, and operational insight. This role focuses on moving, shaping, and managing data across a cloud data platform, ensuring it’s accurate, timely, and easy to use.
What you’ll do
- Build and maintain scalable data feeds from internal systems, APIs, and external sources
- Create efficient data transformations and structures for analytics and business use
- Manage automated workflows, monitoring, and recovery to keep data moving reliably
- Deploy changes safely across non-prod and production environments
- Apply data validation, documentation, and governance standards
- Work closely with analysts and engineers to deliver end-to-end data solutions
What you’ll bring
- Proven experience delivering production data pipelines on a modern data platform
- Strong SQL and Python skills
- Hands-on experience with workflow orchestration tools
- Solid understanding of data modelling for analytics
- Experience with Azure data services (e.g. Synapse, Data Factory)
- Familiarity with CI/CD, version control, and multi-environment deployments
Please apply for full details, shortlisting now