At a Glance
- Tasks: Transform data into actionable insights using cutting-edge AI tools and analytics.
- Company: Join Crew Clothing, a leading British lifestyle brand with a tech-driven future.
- Benefits: Enjoy competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic team environment with exciting projects and career advancement opportunities.
- Why this job: Be at the forefront of AI-native analytics in retail and make impactful decisions.
- Qualifications: 3+ years in analytics engineering, strong SQL, and Power BI skills required.
The predicted salary is between 63000 - 77000 £ per year.
Analytics Engineer Kingston-on-Thames (4 Days in Office, 1 Day from home) 37.5 hours per week
About the business: Crew Clothing Company is a British lifestyle brand operating across four brands — Crew Clothing, Pringle of Scotland, Saltrock and Ben Sherman — with 120+ stores, a growing digital channel and an omnichannel customer experience. We are in the middle of a significant technology transformation: a new eCommerce platform, a new third-party logistics partner, and an upgrade to our ERP platform, all running concurrently and targeting delivery before the end of 2027. Our IT team is small and highly capable. We are building an internal integration function and strengthening our in-house Data & Analytics capability.
Purpose of the role: Crew Clothing’s Data & Analytics team has built a modern data platform — a Microsoft Fabric Lakehouse and a growing Power BI semantic model spanning sales, stock, returns and customer data. As Analytics Engineer, you will turn that infrastructure into the analytical products the business actually uses to make decisions. This is a genuinely AI-first role. You will work daily with Claude Code and the latest Microsoft MCP (Model Context Protocol) tooling to build our data lakes, semantic models, and dashboards at a pace that traditional tools simply cannot match.
Your primary focus will be driving forward our integration and dashboard roadmap of data products, semantic models, and natural language AI interfaces that let trading, buying, retail and finance teams make decisions on live data rather than instinct.
Key Responsibilities:
- Own delivery against the Crew D&A Strategic Roadmap — the team’s single source of truth for integration and dashboard priorities
- Build, maintain and document Fabric Lakehouse — owning the Python and SQL transformation logic that turns our raw data into business-ready datasets
- Extend and maintain the Power BI semantic model — building DAX measures, calculation groups and relationships as new data sources and brands come online
- Use Claude Code and the latest Microsoft MCP tooling as a core part of your daily workflow
- Apply basic DevOps practice to analytics engineering — Git-based version control, structured deployment pipelines (Dev -> Prod), and clear environment governance
- Own and monitor Fabric Data Pipelines ingesting data from multiple sources — incremental load logic, agent driven failure alerting and data quality checks
- Design and build the complex dashboards senior leaders and trading teams use directly to make decisions
- Use Python (Pandas, PySpark) for data manipulation and automation wherever SQL and DAX are not the right tool
- Lead the technical onboarding of Ben Sherman, Pringle and Saltrock data onto the shared Fabric platform
- Maintain a data dictionary and clear documentation of view logic, naming conventions and the deployment process
Skills & Experience Desired:
- 3+ years’ experience in analytics engineering, BI development or data engineering
- Strong SQL — able to write and optimise complex views, CTEs and window functions
- Hands‑on Power BI experience, particularly DAX measure development and semantic model design
- Comfortable with Python for data manipulation and automation (Pandas, PySpark)
- Familiarity with basic DevOps practices — Git-based workflows, deployment pipelines and version control
- Experience with Microsoft Fabric, Databricks or a similar cloud data engineering platform
- Genuine enthusiasm for AI‑assisted development
- Commercial awareness — able to translate a retail business problem into data requirements without heavy specification
- Experience in retail, fashion or ecommerce data environments is a strong advantage
Compensation: Competitive salary
IT Engineer employer: Crew Clothing Head Office
At Crew Clothing, we pride ourselves on being an exceptional employer that values collaboration, creativity, and kindness. Located in the vibrant Kingston-on-Thames, our work culture fosters personal and professional growth, offering employees the chance to engage in meaningful projects while enjoying a supportive environment. With a focus on continuous improvement and innovation, we empower our team members to thrive and celebrate their successes as part of the Crew family.
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We think you need these skills to ace IT Engineer
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Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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