Senior Data Engineer - Azure, Data Factory, Datalakes, SQL - £65,000 - Hybrid - Manchester
- Industry: Retail & eCommerce
- Role: Senior Data Engineer
- Location: Hybrid (1-2 days in Manchester)
- Salary: £65,000 Benefits
The Company
We're working with one of the UK's leading retail and e-commerce brands; a business that's experiencing rapid growth and investing heavily in data, analytics, and technology to stay ahead of the competition.
With millions of customers, an ever-expanding online presence, and a dynamic product offering, data is at the heart of every decision they make.
Their mission is to transform how data is captured, engineered, and consumed across the organisation. Enabling & empowering smarter insights and creating seamless customer experiences.
The Role
As a Senior Data Engineer, you'll be a key player in building and evolving a modern Azure-based data platform that underpins decision-making across the business.
The Senior Data Engineer will design, deliver, and optimise scalable data solutions, ensuring the right data is available at the right time to drive value. Working closely with Software Engineering & the BI and Analytics teams, you'll help shape how data is modelled, consumed, and visualised, while championing best practices in engineering.
As a Senior Data Engineer, you'll also act as a mentor. Sharing your knowledge of cloud platforms, Databricks, and modern engineering techniques with junior team members, and influencing the wider data culture.
Key Responsibilities:
- Design and deliver robust data pipelines using Databricks, Azure Data Factory, and Azure SQL.
- Build and enhance enterprise data warehouse models (facts, dimensions, star schemas).
- Collaborate with BI and Analytics teams to translate requirements into engineering solutions.
- Drive adoption of modern DevOps practices (CI/CD, cost optimisation, automation).
- Advocate for data across the business - this includes identifying opportunities for better insight and efficiency.
- Mentor junior engineers, raising coding standards and knowledge across the team.
- Lead data projects from ingestion through to delivery, providing technical expertise throughout.
The Skills
We're looking for a Senior Data Engineer who is excited about solving complex data challenges at scale and has a proven track record of delivering enterprise-level solutions.
Essential Skills:
- 5 years' experience in Data Engineering.
- Strong expertise in Databricks, Azure Data Factory, Azure SQL, and Azure Synapse/ DW.
- Solid understanding of dimensional modelling (Kimball, Star Schema) and EDW solutions.
- Experience working with structured and unstructured data.
- Familiarity with cloud and DevOps practices - ie Azure, CI/CD pipelines, scaling, cost optimisation.
- Strong problem-solving and communication skills.
Desirable Skills:
- Background in retail or e-commerce data environments.
- Experience with Google Analytics data integration.
Why Join?
This is more than just a Senior Data Engineer role… it's a chance to shape the future of a high-growth retail & e-commerce business through technology and data.
- Impact at scale - work on a platform supporting millions of customers.
- Cutting-edge tech - Databricks, Azure, Data Factory, and modern BI tools.
- Career growth - opportunities to progress, upskill, and influence strategy.
- Collaborative culture - knowledge sharing, learning, and innovation are encouraged.
- Hybrid working - enjoy a balance of office collaboration and flexibility.
Role is exclusive to We Are Dcoded - a purpose-driven recruitment consultancy supporting data and technology professionals connect with forward-thinking businesses who enhance our tomorrow.
Senior Data Engineer - Azure, Data Factory, Datalakes, SQL - £65,000 - Hybrid - Manchester
