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 team culture with a focus on innovation and continuous improvement.
- Why this job: Make an impact in data engineering while mentoring junior talent in a collaborative environment.
- Qualifications: Advanced SQL skills and experience with ETL tools and data warehousing.
The predicted salary is between 60000 - 80000 € 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
GSF Car Parts is an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation within the IT department. As a Senior Data Engineer, you will have the opportunity to lead impactful projects while mentoring junior team members, all within a supportive environment that prioritises employee growth and development. With a hybrid working model and access to cutting-edge technology, GSF Car Parts ensures that you can thrive both professionally and personally in your role.
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 industry, attend meetups, and engage with online communities. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects, especially those involving SQL, ETL processes, and data warehousing. This will give potential employers a tangible sense 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 SQL performance tuning, data modelling, and ETL tools. Practising these topics will help you feel more confident and articulate during the interview.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. 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 reflects the skills and experiences mentioned in the job description. Highlight your expertise in SQL, data modelling, and ETL development to show us you’re the right fit for the Senior Data Engineer role.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about data engineering and how your past experiences align with our needs. Don’t forget to mention any mentoring experience you have, as we value collaboration and knowledge sharing.
Showcase Your Projects:If you've worked on relevant projects, make sure to include them in your application. We love seeing real-world examples of your work with data warehouses, ETL pipelines, or BI tools like Power BI. It helps us understand your hands-on experience.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates during the process. Plus, it shows us you’re keen to join our team!
How to prepare for a job interview at GSF Car Parts
✨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
Prepare to talk about your experience with ETL/ELT tools like SSIS or Azure Data Factory. Have a couple of projects in mind where you designed and maintained robust data pipelines. Highlight any challenges you faced and how you overcame them to ensure data integrity and performance.
✨Show Off Your Data Modelling Skills
Familiarise yourself with dimensional modelling techniques and be prepared to explain how you've applied them in past projects. Discuss your approach to defining and enforcing data modelling standards, and how this has benefited your previous teams or organisations.
✨Engage with Stakeholders
Communication is key! Be ready to share examples of how you've collaborated with software engineers, analysts, and business stakeholders. Highlight your ability to translate technical requirements into actionable data solutions, ensuring everyone is on the same page.
