At a Glance
- Tasks: Design and maintain scalable data solutions, ensuring data integrity and enabling advanced analytics.
- Company: Join GSF Car Parts, a leading automotive parts distributor in the UK.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Dynamic workplace with excellent career advancement opportunities and a supportive team culture.
- Why this job: Make a real impact on data architecture while mentoring junior engineers in a collaborative environment.
- Qualifications: Advanced SQL skills, ETL experience, and a strong understanding of data modelling techniques.
The predicted salary is between 55000 - 65000 £ per year.
We are seeking a Senior Data Engineer with deep expertise in SQL, data modelling, and ETL development, alongside strong experience with modern data platforms and business intelligence tools. The ideal candidate will have a proven track record of designing, building, and maintaining scalable data solutions, including enterprise-grade data warehouses, while ensuring data integrity and enabling advanced analytics across the organisation. This role is suited to an experienced professional who can take ownership of data architecture, mentor junior team members, and drive best practices in data engineering within a collaborative IT environment.
Key Responsibilities
- Design, develop, and maintain robust, scalable ETL/ELT pipelines to integrate data from multiple systems into centralised data platforms.
- Lead the design, implementation, and ongoing maintenance of data warehouses and data lake architectures.
- Develop and optimise complex SQL queries, stored procedures, and data models to support reporting, analytics, and operational use cases.
- Define and enforce data modelling standards (e.g., dimensional modelling, star/snowflake schemas).
- Collaborate with software engineers, analysts, and business stakeholders to translate requirements into reliable and performant data solutions.
- Oversee data integration processes, ensuring high performance, reliability, and security across all pipelines.
- Implement and champion data quality, validation, and governance frameworks.
- Support and optimise datasets for BI tools such as Power BI, ensuring efficient and scalable reporting solutions.
- Work closely with IT and Infrastructure teams to design secure, scalable, and cost-effective data environments.
- Mentor and support junior data engineers, promoting best practices and continuous improvement.
About You
Preferred Skills
- Advanced proficiency in SQL (T-SQL or PL/SQL), including performance tuning, indexing strategies, and query optimisation.
- Strong experience with ETL/ELT tools such as SSIS, Azure Data Factory, or similar.
- Extensive experience with relational databases (e.g., MS SQL Server, PostgreSQL, MySQL).
- Proven expertise in data warehouse design, implementation, and maintenance.
- Strong understanding of data modelling techniques, including dimensional modelling.
- Hands‑on experience with cloud data platforms (preferably Azure, though AWS or GCP also valuable).
- Solid understanding of data governance, data quality, and security best practices.
- Experience with programming/scripting languages (e.g., Python, .NET, PowerShell) for automation and data processing.
- Familiarity with BI tools such as Power BI or Phocas.
- Experience with version control systems (e.g., Git) and modern development practices.
- Strong analytical thinking and problem‑solving skills.
- Excellent communication skills, with the ability to engage both technical and non-technical stakeholders.
- Ability to work effectively in a hybrid environment (3 days office, 2 days remote).
About Us
GSF Car Parts is one of the UK’s leading automotive parts distributors, supplying thousands of independent garages throughout the UK and Ireland with parts, tools, garage equipment and specialist training. The group has over 175 branches nationwide and a turnover exceeding £475 million. Built on the heritage and success of a dozen local brand identities acquired over several years, we have traded as one brand since November 2021. Our branch network is bolstered by centralised support and expertise from specialist departments in key areas such as procurement and supply chain, marketing and national accounts. The business also benefits from integrated IT systems, which include our industry leading catalogue system, Allicat, and access to the Group's national garage programme, Servicesure.
Senior Data Engineer in Wolverhampton employer: GSF Car Parts Limited
GSF Car Parts is an exceptional employer for a Senior Data Engineer, offering a dynamic work culture that fosters collaboration and innovation within the automotive parts distribution sector. With a strong commitment to employee growth, you will have opportunities to mentor junior team members while working on cutting-edge data solutions in a hybrid environment that balances office and remote work. The company also provides competitive benefits and a supportive atmosphere, making it an ideal place for professionals seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer in Wolverhampton
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field and let them know you're on the lookout for opportunities. You never know who might have the inside scoop on a role that’s perfect for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best projects, especially those involving SQL, ETL processes, and data warehousing. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering scenarios. Be ready to discuss your experience with data modelling and ETL tools, and think about how you can demonstrate your problem-solving skills during the chat.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Data Engineer in Wolverhampton
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Data Engineer role. Highlight your SQL expertise, data modelling skills, and any experience with ETL development. We want to see how your background aligns with what we're looking for!
Showcase Your Projects:Include specific examples of projects you've worked on that demonstrate your ability to design and maintain scalable data solutions. We love seeing real-world applications of your skills, so don’t hold back!
Be Clear and Concise:When writing your application, keep it clear and to the point. Use bullet points where possible to make it easy for us to read through your qualifications and experiences. We appreciate a well-structured application!
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to see what you bring to the table!
How to prepare for a job interview at GSF Car Parts Limited
✨Know Your SQL Inside Out
As a Senior Data Engineer, you'll need to showcase your advanced SQL skills. Brush up on performance tuning, indexing strategies, and complex query optimisation. Be ready to discuss specific examples of how you've used SQL to solve real-world problems in previous roles.
✨Demonstrate Your ETL Expertise
Familiarise yourself with the ETL/ELT tools mentioned in the job description, like SSIS or Azure Data Factory. Prepare to explain your experience in designing and maintaining ETL pipelines, and be ready to share any challenges you faced and how you overcame them.
✨Showcase Your Data Modelling Skills
Understanding data modelling techniques is crucial for this role. Be prepared to discuss dimensional modelling, star/snowflake schemas, and how you've applied these concepts in your past projects. Bring examples of data models you've designed and the impact they had on analytics.
✨Engage with Stakeholders
Communication is key! Practice explaining technical concepts to non-technical stakeholders. Think of instances where you've collaborated with software engineers or business analysts to translate requirements into data solutions. This will demonstrate your ability to work effectively in a hybrid environment.
