At a Glance
- Tasks: Design and maintain scalable ETL pipelines and data warehouses for advanced analytics.
- Company: Join a forward-thinking company that values collaboration and innovation.
- Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on continuous improvement and best practices.
- Why this job: Lead impactful data projects and mentor the next generation of data engineers.
- Qualifications: Expertise in SQL, ETL tools, and data modelling required.
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.
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.
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).
Senior Data Engineer: Data Warehouse & ETL Leader (Hybrid) in Wolverhampton employer: GSF Car Parts LTD
Join a forward-thinking organisation that values innovation and collaboration, where as a Senior Data Engineer, you will play a pivotal role in shaping data architecture and mentoring the next generation of data professionals. Our hybrid work model promotes a healthy work-life balance, while our commitment to employee growth ensures you have access to continuous learning opportunities and cutting-edge technology. Experience a supportive culture that champions data integrity and empowers you to drive impactful analytics across the business.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer: Data Warehouse & ETL Leader (Hybrid) in Wolverhampton
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or even just grab a coffee with someone who’s already in the data engineering game. You never know when a casual chat might lead to your next big opportunity.
✨Show Off Your Skills
Don’t just tell them what you can do; show them! Create a portfolio of your projects, especially those involving SQL, ETL processes, or data warehousing. Having tangible examples of your work can really set you apart from the crowd.
✨Ace the Interview
Prepare for those interviews by brushing up on common data engineering questions and scenarios. Be ready to discuss your past experiences and how you’ve tackled challenges in data architecture. Confidence is key, so practice makes perfect!
✨Apply Through Our Website
We’ve got some fantastic opportunities waiting for you! Make sure to apply through our website to get the best chance at landing that Senior Data Engineer role. We’re excited to see what you bring to the table!
We think you need these skills to ace Senior Data Engineer: Data Warehouse & ETL Leader (Hybrid) in Wolverhampton
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your SQL, data modelling, and ETL experience. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements in building scalable data solutions!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for our Senior Data Engineer role. Share specific examples of your past projects and how they relate to what we do at StudySmarter.
Show Off Your Technical Skills:We love seeing technical expertise! Be sure to mention your experience with ETL tools, cloud platforms, and BI tools like Power BI. Highlight any complex SQL queries or data models you've developed that demonstrate your capabilities.
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’re considered for the role. Plus, it shows you’re keen on joining the StudySmarter team!
How to prepare for a job interview at GSF Car Parts LTD
✨Know Your SQL Inside Out
Make sure you brush up on your SQL skills before the interview. Be prepared to discuss complex queries, performance tuning, and indexing strategies. Practising real-world scenarios can help you articulate your thought process when solving data-related problems.
✨Showcase Your ETL Expertise
Be ready to talk about your experience with ETL/ELT tools like SSIS or Azure Data Factory. Prepare examples of how you've designed and maintained ETL pipelines, and be specific about the challenges you faced and how you overcame them.
✨Demonstrate Data Modelling Knowledge
Familiarise yourself with data modelling techniques, especially dimensional modelling and star/snowflake schemas. You might be asked to explain how you would approach a data modelling task, so having a clear understanding will set you apart.
✨Engage with Stakeholders
Since collaboration is key in this role, think of examples where you've worked with software engineers, analysts, or business stakeholders. Highlight how you translated their requirements into effective data solutions, showcasing your communication skills and teamwork.
