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Salary: Competitive plus benefits
Working Pattern: Full Time
Contract Type: Permanent
About Matalan
From humble beginnings to disruptive innovations in the retail industry, find out about how Matalan is ever-evolving here.
We know as a team, we are stronger together – we champion equality for all and make lasting connections that go beyond work. We thrive off our inclusive culture, encouraging our colleagues to bring their true selves to work and contributing to collective creativity, open-mindedness and growth.
We want give every candidate the opportunity to perform at their best throughout the application and interview process and then ultimately in their role. If you require any adjustments during our recruitment process, please don’t hesitate to let us know.
In the event that a high volume of suitable applications are received, the post may close prior to the specified closing date. Please apply as soon as possible if interested.
About The Role
We’re looking for a skilled Data Engineer to build, optimise and maintain high-performing data pipelines across Microsoft Fabric and GCP.
You’ll play a key role in ensuring reliable, production-ready data is delivered to support business-critical analytics. Working within a modern lakehouse environment, you’ll focus on automation, data quality, and performance, helping to drive efficient and scalable data operations.
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.
Start with a chat, not a search bar
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.
You Will
Develop and maintain ETL/ELT pipelines to ingest data from multiple sources into Fabric/GCP Ensure pipelines follow medallion architecture (Bronze/Silver/Gold) standards Monitor pipeline performance, troubleshoot issues, and act as a key responder for incidents Embed data quality checks to ensure accuracy and integrity of data outputs Optimise SQL and Python code to improve performance and reduce cloud costs Support data governance and documentation, ensuring pipelines are transparent and supportable Enable Analytics and Data Science teams with trusted, accessible datasets Contribute to the migration of legacy data processes into modern, scalable solutions
About You
You’re a hands-on Data Engineer with strong technical skills and a focus on building reliable, scalable data solutions.
You’ll Bring
Strong experience with SQL (including optimisation) and Python for data engineering Hands-on experience working with GCP (BigQuery) and/or Microsoft Fabric (Synapse/OneLake) Experience building and managing data pipelines and workflow orchestration tools (e.g. Airflow, Data Factory) A solid understanding of data modelling (e.g. star schemas, SCD) and governance principles Experience implementing data quality testing and validation Familiarity with CI/CD and version control (e.g. Git, GitHub Actions, Azure DevOps) Knowledge of cloud security principles and working within governed environments A proactive approach to monitoring, alerting, and resolving data issues You’ll also be comfortable working in an Agile environment, collaborating with stakeholders, and clearly communicating technical challenges to non-technical audiences.


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Benefits
In addition to competitive salaries, we also offer the below core benefits:
20% staff discount, which increases with length of service Thrive Recognition Scheme Wellbeing support provided by the Retail Trust Life Assurance Retail Rewards platform offering discounts for other retailers Pension Scheme Access to a wide range of career development Additional benefits may apply depending on your role and area of the business
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
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