Fred Perry Ltd
BI Engineer

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Fred Perry
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
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
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.


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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.
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