Lead Data Engineer

Frasers Group
Clayton-le-Moors
4 weeks ago
Applications closed

Related Jobs

View all jobs

Lead Data Engineer

Lead Data Engineer

Lead Data Engineer - Manchester - Hybrid - £75k - £80k

Lead data Engineer - Financial Markets - Day rate

Lead Data Consultant

Lead Data Developer

At Frasers Group we’re rethinking retail. Through digital innovation and unique customer experiences, we’re serving our consumers with the world’s best sports, premium and luxury brands globally. As a leader in the industry, we’re elevating the retail experience for our consumers providing flexible and convenient ways to pay across our collection of established brands, including Studio, Sports Direct, FLANNELS, USC, Frasers, and GAME

Frasers Group Financial Services is the next chapter of elevation for the Frasers Group.
We fear less and do more. Our people are forward thinkers who are driven to operate outside of their comfort zone to change the future of retail, embracing challenges along the way. The potential to elevate your career is massive, the experience unrivalled.

Why join us?

Our purpose – we are elevating the lives of the many with access to the world’s best brands and experiences

Frasers Group Financial Services is committed to delivering a positive colleague experience and to be able to make the most of it you need to immerse yourself into delivering on our principles:

Think without limits - Think fast, think fearlessly, and take the team with you
Own it and back yourself - Own the basics, own your role and own the results
Be relevant - Relevant to our people, our partners and the planet

The role of the Lead Data Engineer is to lead the design, development, and maintenance of the organisation's data infrastructure. The role involves overseeing the efficient, reliable, and secure collection, storage, and processing of data, which is critical for enabling data-driven decision-making across FGFS.

The Team Lead will help manage and mentor a team of data engineers, working collaboratively with cross-functional teams to implement data solutions, optimise data pipelines, and drive the overall data strategy, ensuring data integrity, security, and accessibility across FGFS. The Team Lead will also play a key role in strategic planning, process improvement, and aligning data initiatives with business goals.

  • Lead the design, development, and maintenance of scalable and efficient data pipelines for extracting, transforming, and loading data from multiple sources.
  • Oversee the team's efforts in building and optimising data pipelines, ensuring alignment with organisational goals and performance standards.
  • Manage and mentor a team of data engineers, providing guidance, support, and professional development opportunities.
  • Oversee the diagnosis and resolution of complex data-related issues within the platform, ensuring prompt and effective support and maintenance of data systems.
  • Implement best practices for monitoring and alerting to proactively address potential issues.
  • Act as a primary liaison between the data engineering team, spoke analysts, and other key stakeholders to align data solutions with business needs.
  • Ensure the team adheres to data governance policies, regulatory requirements, and data security best practices.
  • Oversee the creation and maintenance of comprehensive documentation of data engineering processes.
  • Regularly report on system performance, data quality, and pipeline health to senior management and other stakeholders.
  • Drive the continuous improvement of data engineering practices by staying current with industry trends, emerging technologies, and best practices.
  • Lead initiatives to implement innovative solutions and improvements, ensuring the data engineering team's approach remains efficient, scalable, and effective.

Required

  • Good knowledge of enterprise data warehousing, data integration and Business Intelligence (BI) reporting.
  • Well versed with cloud-based data warehouse solutions including Snowflake.
  • Knowledge of DBT and different ingest tools such as Stitch, Fivetran and Snowpipe.
  • Significant SQL experience.
  • Experience with leading and mentoring junior members of a team.
  • Comfortable with working in a high pressure environment and working to tight deadlines
  • Strong understanding of Data Governance best practice

Desirable

  • Working knowledge of Python.
  • Experience with modelling data for Microsoft PowerBI.
  • Knowledge of best practice for data modelling and architecture.
  • Prior Financial Services experience

Non-technical required:

  • Excellent critical thinking and solution creation skills
  • Ability to deliver in a fast-paced and dynamic environment.

As FGFS is within a regulated environment any offer is subject to satisfactory background checks including criminal record check, credit check, and employment references.

Along with your benefits package we also offer a wide range of perks for our colleagues:

Reward, Recognition and Opportunities

Frasers Champion- Our employees are at the heart of our business and we ensure individuals are recognised every single month for their hard work. Frasers Champion is a peer nominated scheme where 8 winners will receive double their pay for a month where they have thought without limits, owned it or been relevant.

Fearless 1000 – By October 2025, we want our share price to hit £10. If that happens for 30 or more consecutive trading days, all colleagues across the business will receive a bonus! The top 1000 performers in the company will receive unprecedented bonuses, worth from £50,000 to £1million! Senior leaders across the business nominate these performers twice a year for embodying our core values and delivering exceptional performance*.
 
*subject to terms and conditions

Frasers Festival – an event like no other! Our Frasers Festival is our celebration for Head Office and Retail Staff across the UK and Europe – hosting a MEGA brand village, guest speakers from the world's biggest brands, evening entertainment, the ultimate Frasers Fearless Fitness Challenge and much more.

CEO Sessions – Once a quarter we offer 20 employees the opportunity to attend our “CEO Sessions” ran by our CEO and leadership team. Employees have the chance to connect, network and submit questions around specific topics such as our Sports or Luxury business. 

Retail Reconnect – In order to build the planets most admired and compelling brand ecosystem, all employees must understand our business, product and customers. Each financial year, Head Office employees will gain insights by spending two days in one of our stores or the Warehouse. The goal is to learn how the work you do impacts our teams on the frontline, and to bring ideas back to the office which will improve how we work.

Employee Welfare 

Frasers Fit – Our Everlast Gyms Team are on a mission to make our workforce the best, and fittest on the planet! We run free gym classes for employees as well as discounted memberships to our clubs. Frasers Fit is our wellbeing programme which aims to support and improve colleagues Physical, Financial & Mental wellbeing. The app is accessible for every employee and includes training, nutrition and lifestyle advice- all completely free.

Retail Trust – We know that its not just about physical health, mental wellness is equally important which is why all of our employees get free access and support from the Retail Trust charity. This includes a 24 hour wellbeing helpline, wellness hub, counselling and financial/legal support.

What’s next?

Our Recruitment Team will be reviewing applications and all candidates will receive a response, whether you are successful or unsuccessful. Shortlisted applicants may be asked to confirm a few key details before being booked in for a first stage interview with the Recruiter- this will be behaviourally focussed and centred around how you align with our Culture and Values. If successful we anticipate two further interview stages with the Hiring Manager/wider team which will be more technically focussed and could include a presentation/task so we can see your skills in action.

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Contract vs Permanent Machine Learning Jobs: Which Pays Better in 2025?

Machine learning (ML) has swiftly become one of the most transformative forces in the UK technology landscape. From conversational AI and autonomous vehicles to fraud detection and personalised recommendations, ML algorithms are reshaping how organisations operate and how consumers experience products and services. In response, job opportunities in machine learning—including roles in data science, MLOps, natural language processing (NLP), computer vision, and more—have risen dramatically. Yet, as the demand for ML expertise booms, professionals face a pivotal choice about how they want to work. Some choose day‑rate contracting, leveraging short-term projects for potentially higher immediate pay. Others embrace fixed-term contract (FTC) roles for mid-range stability, or permanent positions for comprehensive benefits and a well-defined career path. In this article, we will explore these different employment models, highlighting the pros and cons of each, offering sample take‑home pay scenarios, and providing insights into which path might pay better in 2025. Whether you’re a new graduate with a machine learning degree or an experienced practitioner pivoting into an ML-heavy role, understanding these options is key to making informed career decisions.

Machine‑Learning Jobs for Non‑Technical Professionals: Where Do You Fit In?

The Model Needs More Than Math When ChatGPT went viral and London start‑ups raised seed rounds around “foundation models,” many professionals asked, “Do I need to learn PyTorch to work in machine learning?” The answer is no. According to the Turing Institute’s UK ML Industry Survey 2024, 39 % of advertised ML roles focus on strategy, compliance, product or operations rather than writing code. As models move from proof‑of‑concept to production, demand surges for specialists who translate algorithms into business value, manage risk and drive adoption. This guide reveals the fastest‑growing non‑coding ML roles, the transferable skills you may already have, real transition stories and a 90‑day action plan—no gradient descent necessary.

Quantexa Machine‑Learning Jobs in 2025: Your Complete UK Guide to Joining the Decision‑Intelligence Revolution

Money‑laundering rings, sanctioned entities, synthetic identities—complex risks hide in plain sight inside data. Quantexa, a London‑born scale‑up now valued at US $2.2 bn (Series F, August 2024), solves that problem with contextual decision‑intelligence (DI): graph analytics, entity resolution and machine learning stitched into a single platform. Banks, insurers, telecoms and governments from HSBC to HMRC use Quantexa to spot fraud, combat financial crime and optimise customer engagement. With the launch of Quantexa AI Studio in February 2025—bringing generative AI co‑pilots and large‑scale Graph Neural Networks (GNNs) to the platform—the company is hiring at record pace. The Quantexa careers portal lists 450+ open roles worldwide, over 220 in the UK across data science, software engineering, ML Ops and client delivery. Whether you are a graduate data scientist fluent in Python, a Scala veteran who loves Spark or a solutions architect who can turn messy data into knowledge graphs, this guide explains how to land a Quantexa machine‑learning job in 2025.