Analytics engineer Work, Jobs in Bewbush Rh11 (with Salaries)

Analytics Engineer
Crew Clothing Head Office —Kingston upon Thames
- Full-time
- DevOps
- SQL
- AI
Quick apply
13h
Senior Cloud Engineer
Viridien —Crawley
- Full-time
- Hybrid work
- Annual leave
Analytical Engineer
Claims Recruitment Services —Reigate
- AWS
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Manager – Data Product (Data Science)
Virgin Atlantic —Crawley
- Monday to Friday
- Hybrid work
- Machine learning
- Product management
- AI
Data Engineer
Claims Recruitment Services —Reigate
- Machine learning
- Agile
- AI
Integration & Automation Engineer
United Response —London
- £55,000 a year
- Full-time
- Remote
- Paid training
- Annual leave
DevOps Engineer
WTW —Reigate
- Full-time
- Hybrid work
- Azure
- Computer Science
- DevOps
- Annual leave
- Employee assistance programme
Golang Engineer
Smart Edge Solutions —Burgess Hill
- £45,034.79 - £116,357.67 a year
- Full-time
- Hybrid work
- Software troubleshooting
- Databases
- Leadership
Quick apply
Graduate Digital Marketing Executive (B2B Technical Products)
Level Developments Ltd —Croydon
- £28,000 - £32,000 a year
- Full-time
- Marketing
- Social media management
- Bachelor's degree
Quick apply
13d
Product Lead (Pre booking experience)
IAG Loyalty —Crawley
- Full-time
- Hybrid work
- Agile
- Communication skills
AI Engineer
Fintricity —London
- £35,000 - £80,000 a year
- Full-time
- Doctoral degree
- Computer Science
- Engineering
Quick apply
5d
Software Engineer
ICR —Sutton
- £57,190 - £64,000 a year
- Computer Science
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8d
SRE DevOps Engineer
WTW —Reigate
- Full-time
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Senior Data Engineer
Sovos Compliance —Brighton
- Communication skills
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Quick apply
12d
Industrial Operational Excellence Manager
Thales —Crawley
- Full-time
- Engineering
- Continuous improvement
- Team management
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Senior Data Engineering Manager
Unum Group —Dorking
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6d
Liquid Cooling Engineer
Vertiv —Edenbridge
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Senior Software Engineer
Synamedia —Chilworth
- DevOps
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- Bachelor's degree
R&D Manager - Risk Pricing
Homeprotect —New Malden
- Hybrid work
- Annual leave
- Employee assistance programme
Data Product Owner
Claims Recruitment Services —Reigate
- Conflict management

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Analytics Engineer

Crew Clothing Head Office
Kingston upon Thames

Quick apply

Job details

Full-time
13 hours ago

Qualifications

Power BI
Data integration
Dashboard visualisation
MCP
DevOps
SQL querying
Git
SQL
Power BI data visualisation
Pandas
ETL data integration
Data analytics
Technical roadmaps
AI

Full job description

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 — and these four roles are the foundation of that work.

Purpose of the role:

Crew Clothing’s Data & Analytics team has built a modern data platform — a Microsoft Fabric Lakehouse sitting 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 a traditional tools simply cannot match — this is one of the most cutting-edge roles in UK retail analytics today, and you will help shape what AI-native analytics engineering looks like at Crew.

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 (Ben Sherman, Pringle, Saltrock) come online
Use Claude Code and the latest Microsoft MCP tooling as a core part of your daily workflow — this is an AI-first role and you will be expected to use cutting-edge AI tooling to build and document faster than a traditional tools allow
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 — trading performance, stock health, buying analysis, customer behaviour, store performance
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, enabling group-level reporting
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 — comfortable using tools like Claude Code and MCP-based tooling to work faster and think differently about how analytics engineering gets done
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

INDHEADOFFICE

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Refine Your Search

analytics engineer jobs in bewbush rh11

Analytics Engineer

Senior Cloud Engineer

Analytical Engineer

Manager – Data Product (Data Science)

Data Engineer

Integration & Automation Engineer

DevOps Engineer

Golang Engineer

Graduate Digital Marketing Executive (B2B Technical Products)

Product Lead (Pre booking experience)

AI Engineer

Software Engineer

SRE DevOps Engineer

Senior Data Engineer

Industrial Operational Excellence Manager

Senior Data Engineering Manager

Liquid Cooling Engineer

Senior Software Engineer

R&D Manager - Risk Pricing

Data Product Owner

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