BI Engineer

Posted 3 Days Ago
Be an Early Applicant
London, Greater London, England, GBR
Hybrid
Entry level
Fashion • Retail
The Role
Develop and maintain cloud data pipelines, ETL/ELT processes, warehouse schemas, semantic models, and integrations across internal and external data sources. Own pipeline reliability, monitoring, performance, and data quality while supporting governance, security, documentation, and DevOps practices. The role also supports BI analysts and managers, promotes consistent data practices, and helps improve team capabilities using Microsoft Fabric, Power BI, SQL, Python, and PySpark.
Summary Generated by Built In

Triple Wimbledon champion Fred Perry founded his brand in 1952. He was the son of a cotton spinner, who played and fought his way through, always with style – and despite the establishment. Today, Fred Perry is a global community of over 370 employees, all inspired by the Laurel Wreath and what it represents

PURPOSE:
This is a key role in the Business Insight team responsible for the delivery and development of the organisation wide BI infrastructure, bringing together data from our core systems to provide a single view of the business and its strategic partners.

KEY RESPONSIBILITIES:

  • Develop, maintain and optimise data pipelines and ETL/ELT processes between source systems and the cloud-based Data Warehouse (Microsoft Fabric)

  • Take ownership of the reliability, monitoring and performance of data pipelines, resolving issues and improving data quality

  • Design, build and maintain data warehouse structures and schemas within our medallion architecture

  • Integrate internal and external data sources using APIs, databases, files and other ingestion methods

  • Work across the data Delivery Lifecycle – Define, Design, Develop & Deploy – including data processes, data models and semantic models

  • Document technical solutions in accordance with Data & Analysis standards

  • Ensure compliance with company data governance, risk and security policies

  • Support the BI Manager and BI Analysts with data engineering, architecture, modelling and best practices

  • Help upskill the BI team and promote consistent data and BI practices across the organisation

ESSENTIAL SKILLS AND EXPERIENCE:

  • Strong experience in data engineering, including ETL/ELT, data pipelines and modern cloud data platforms

  • Strong understanding of data warehousing, dimensional modelling, Kimball principles and data architecture

  • Advanced SQL/T-SQL skills, including query development, optimisation and troubleshooting

  • Strong Python, PySpark or similar programming skills for data manipulation and automation

  • Experience integrating data from APIs, databases, files and other sources

  • Experience with data quality, pipeline monitoring and troubleshooting

  • Experience working with CI/CD, source control and DevOps practices

  • Experience developing and maintaining semantic models using Power BI, SSAS or similar

  • Hands-on experience with modern BI tools, preferably Power BI

  • Experience working in an Agile development environment

DESIRABLE SKILLS AND EXPERIENCE:

  • Hands-on experience with Microsoft Fabric

  • Experience working with ERP or other large enterprise source systems

THE PERSON:

  • Excellent problem solver.

  • Numerical and analytical mindset.

  • Organised, delivery focused and comfortable working on own initiative.

  • Collaborative and team orientated.

  • Desire and passion for continuous learning.

  • Comfortable with working to agile principles.

  • A clear communicator that is comfortable with working with all departments and levels of seniority.


HOURS:

We actively encourage our teams to have a good work/life balance and so we are pleased to offer flexible working shifts at Fred Perry HQ. Our core shift hours are from 10am – 4.30pm and so employees can choose to start and finish early, or start and finish late. (i.e. work 8:00am-4:30pm, or 10:00am-6:30pm etc). We also have 30-minute early finish on Fridays.

As we continue to work in a more flexible way, the Head Office acts a brand hub, where we can all connect and collaborate with one another. This role is a mix of office based (London) and remote working. We will expect the employee to come into the office regularly for face-to-face meetings and to work alongside their team on collaborative projects.

BENEFITS:

We are proud to offer a wide range of benefits to all our staff, and continue to reassess what our community needs from us to thrive. We don’t want to be a good company to work for, we want to be a great one. Here are some things we currently offer:

  • Annual performance-related bonus

  • Competitive salary

  • Generous staff discount and regular sample sales

  • Generous pension scheme with 8.5% company contribution

  • Option to buy an extra 5 days holiday annually

  • Enhanced maternity and paternity packages

  • Life insurance

  • Private healthcare

  • Cycle to work scheme

  • Early finish Fridays

  • Season ticket loan

  • Additional benefits with long service

  • 25 days annual leave plus Bank Holidays

  • Annual Birthday vouchers

  • EAP

  • Social Events

We actively welcome applications from people of all different backgrounds. Your CV will be submitted to hiring managers with all personal details hidden to ensure anonymity.

Skills Required

  • Strong experience in data engineering, including ETL/ELT, data pipelines, and modern cloud data platforms
  • Strong understanding of data warehousing, dimensional modelling, Kimball principles, and data architecture
  • Advanced SQL/T-SQL skills, including query development, optimisation, and troubleshooting
  • Strong Python, PySpark, or similar programming skills for data manipulation and automation
  • Experience integrating data from APIs, databases, files, and other sources
  • Experience with data quality, pipeline monitoring, and troubleshooting
  • Experience working with CI/CD, source control, and DevOps practices
  • Experience developing and maintaining semantic models using Power BI, SSAS, or similar
  • Hands-on experience with modern BI tools, preferably Power BI
  • Experience working in an Agile development environment
  • Hands-on experience with Microsoft Fabric
  • Experience working with ERP or other large enterprise source systems
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
370 Employees
Year Founded: 1952

What We Do

Fred Perry is a British sporting and fashion brand founded by triple Wimbledon champion Fred Perry. The company designs and sells sportswear, classic casual clothing, and accessories, centered on its distinctive Laurel Wreath identity. It operates a global retail network of more than 200 shops, supported by design, product development, marketing, customer service, and operations teams headquartered in London and serving customers worldwide.

Similar Jobs

In-Office
4 Locations
5300 Employees

Scrumconnect Limited Logo Scrumconnect Limited

Data Engineer

Artificial Intelligence • Information Technology • Software • Consulting
In-Office
Blackpool, Lancashire, England, GBR
300 Employees

CluePoints Logo CluePoints

Senior Data Analyst

Healthtech • Software • Analytics
Remote or Hybrid
United Kingdom
322 Employees
In-Office
Manchester, Greater Manchester, England, GBR
17841 Employees
40K-50K Annually

Similar Companies Hiring

Tastewise Thumbnail
Artificial Intelligence • Big Data • Food • Retail • Software • Generative AI • Big Data Analytics
NYC, NYC
120 Employees
Scotch Thumbnail
Artificial Intelligence • eCommerce • Fintech • Payments • Retail • Software • Analytics
US
35 Employees
Golden Pet Brands Thumbnail
Digital Media • eCommerce • Information Technology • Marketing Tech • Pet • Retail • Social Media
El Segundo, California
178 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account