Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Build and optimise data pipelines using Microsoft Fabric and GCP for analytics.
- Company: Join Matalan, a forward-thinking retail company with an inclusive culture.
- Benefits: Enjoy a 20% staff discount, wellbeing support, and career development opportunities.
- Why this job: Make a real impact by ensuring reliable data for business-critical decisions.
- Qualifications: Experience in SQL, Python, and data pipeline management is essential.
- Other info: Work in a dynamic Agile environment with excellent growth potential.
The predicted salary is between 28800 - 48000 £ per year.
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 to 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.
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.
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
Data Engineer in Liverpool employer: Matalan
Contact Detail:
Matalan Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in Liverpool
✨Tip Number 1
Network like a pro! Reach out to current employees at Matalan on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for the interview process. It’s all about making connections!
✨Tip Number 2
Prepare for the technical side! Brush up on your SQL and Python skills, and be ready to discuss your experience with GCP and Microsoft Fabric. We want to see how you can optimise data pipelines and tackle real-world problems.
✨Tip Number 3
Show off your problem-solving skills! During interviews, be prepared to walk us through how you've tackled data issues in the past. Use examples that highlight your proactive approach and ability to work under pressure.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining the Matalan team. Get your application in early to avoid missing out!
We think you need these skills to ace Data Engineer in Liverpool
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with SQL, Python, and any relevant cloud platforms like GCP or Microsoft Fabric. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how you can contribute to our team. Be sure to mention any specific projects or achievements that showcase your skills.
Showcase Your Technical Skills: When filling out your application, don't forget to highlight your technical skills, especially in building and managing data pipelines. Mention any tools you've used, like Airflow or Data Factory, to show us you're the right fit for the job.
Apply Early!: We might close the application process early if we get a lot of great candidates, so don’t wait! Head over to our website and submit your application as soon as you can. We can't wait to see what you bring to the table!
How to prepare for a job interview at Matalan
✨Know Your Tech Inside Out
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss how you've optimised queries or built data pipelines in past projects. Matalan will want to see that you can not only talk the talk but also walk the walk when it comes to technical expertise.
✨Understand the Medallion Architecture
Familiarise yourself with the medallion architecture (Bronze/Silver/Gold) as it's crucial for the role. Be prepared to explain how you've implemented this in previous work or how you would approach it. This shows that you understand the standards Matalan expects and are ready to hit the ground running.
✨Showcase Your Problem-Solving Skills
Think of specific examples where you've monitored pipeline performance and resolved issues. Matalan values a proactive approach, so be ready to share how you’ve tackled data quality checks and troubleshooting in your past roles. This will demonstrate your hands-on experience and ability to handle challenges.
✨Communicate Clearly with Non-Techies
Since you'll be collaborating with various stakeholders, practice explaining complex technical concepts in simple terms. Matalan appreciates clear communication, so think of ways to convey your ideas effectively to non-technical audiences. This will highlight your teamwork skills and adaptability.