At a Glance
- Tasks: Build and optimise data pipelines using Microsoft Fabric and GCP for analytics.
- Company: Join Matalan, a dynamic retail innovator with an inclusive culture.
- Benefits: Enjoy a 20% staff discount, wellbeing support, and career development opportunities.
- Other info: Collaborate in an Agile environment and thrive in a supportive team culture.
- Why this job: Make a real impact by ensuring reliable data for business-critical decisions.
- Qualifications: Strong SQL and Python skills, experience with GCP or Microsoft Fabric required.
The predicted salary is between 50000 - 70000 £ per year.
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.
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
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 (Big Query) and/or Microsoft Fabric (Synapse/One Lake)
- 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, Git Hub Actions, Azure Dev Ops)
- 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.
From humble beginnings to disruptive innovations in the retail industry, find out about how Matalan is ever‑evolving.
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.
- 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
- #J-18808-Ljbffr
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in Knowsley
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Matalan!
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Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Engineer at Matalan.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Matalan.
✨Apply Directly through Our Website
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We think you need these skills to ace Data Engineer in Knowsley
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Matalan, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Matalan. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Matalan
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Matalan!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
