At a Glance
- Tasks: Design and maintain scalable data pipelines for reporting and analytics.
- Company: Join Marston's, a people-focused company in Wolverhampton.
- Benefits: Enjoy great perks and a supportive work environment.
- Other info: Be part of a dynamic team with excellent growth opportunities.
- Why this job: Make a real impact in AI and innovation with your data skills.
- Qualifications: 5+ years in data engineering and strong SQL expertise required.
The predicted salary is between 55000 - 70000 £ per year.
Applications, AI and Innovation is seeking a Senior Data Engineer to join their team in Wolverhampton. You will design, build, and maintain scalable ETL/ELT data pipelines to empower reporting and analytics at Marston's.
The ideal candidate will have over 5 years of experience in data engineering, strong SQL skills, and familiarity with Azure technologies. Join a company that values people and offers numerous benefits.
Senior Data Engineer, Enterprise Data Platform & Analytics in Wolverhampton employer: Applications, AI and Innovation
Marston's is an exceptional employer that prioritises the growth and well-being of its employees, offering a collaborative work culture in Wolverhampton. With a strong focus on innovation and technology, employees benefit from extensive training opportunities and a supportive environment that encourages professional development. Join us to be part of a forward-thinking team where your contributions directly impact our data-driven decision-making processes.
Contact Details:
Applications, AI and Innovation Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer, Enterprise Data Platform & Analytics in Wolverhampton
✨Tip Number 1
Network like a pro! Reach out to current employees at Marston's on LinkedIn. A friendly chat can give us insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your best ETL/ELT projects. We want to see how you’ve tackled data challenges in the past.
✨Tip Number 3
Ace the interview! Brush up on your SQL and Azure knowledge. We recommend practising common data engineering questions to boost your confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Senior Data Engineer, Enterprise Data Platform & Analytics in Wolverhampton
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in data engineering, especially with ETL/ELT processes. We want to see how your skills align with the role, so don’t be shy about showcasing your SQL expertise and any Azure technologies you’ve worked with.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about the Senior Data Engineer position at Marston's. Share specific examples of your past work that demonstrate your ability to design and maintain scalable data pipelines.
Showcase Your Problem-Solving Skills:In your application, highlight instances where you've tackled complex data challenges. We love seeing how you approach problems and come up with innovative solutions, especially in a fast-paced environment like ours.
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 our team!
How to prepare for a job interview at Applications, AI and Innovation
✨Know Your Data Engineering Basics
Make sure you brush up on your data engineering fundamentals, especially around ETL/ELT processes. Be ready to discuss your experience with designing and maintaining data pipelines, as well as any specific projects you've worked on that showcase your skills.
✨Show Off Your SQL Skills
Since strong SQL skills are a must for this role, prepare to demonstrate your knowledge. You might be asked to solve a problem or write a query on the spot, so practice common SQL scenarios and be ready to explain your thought process.
✨Familiarise Yourself with Azure Technologies
As familiarity with Azure is important, take some time to review the Azure services relevant to data engineering. Be prepared to discuss how you've used these technologies in past roles and how they can benefit the team at Marston's.
✨Emphasise Teamwork and Collaboration
Marston's values people, so highlight your ability to work well in a team. Share examples of how you've collaborated with others in previous roles, particularly in cross-functional teams, to achieve successful outcomes in data projects.
