At a Glance
- Tasks: Lead the creation of a modern data platform and build scalable data pipelines.
- Company: Established UK business with a focus on innovative data solutions.
- Benefits: Competitive salary, hybrid work, and significant career growth opportunities.
- Other info: Join a greenfield project and make a tangible impact on data strategy.
- Why this job: Shape the future of data while working with cutting-edge technologies.
- Qualifications: Experience with Microsoft Fabric, Azure, and Databricks; strong data modelling skills.
The predicted salary is between 60000 - 60000 € per year.
Are you ready to take the wheel on a transformative data journey? If so, this is your chance to take charge of a modern, enterprise-grade data platform for a well established UK business. You’ll be stepping into a greenfield playground where you can build robust, scalable and future-proof data solutions all whilst shaping the strategy and growth of the data function.
This role is perfect for a proven Senior Data Engineer OR a strong mid level looking to take the next step in your career.
You’ll work side by side with the Head of Data to own the design and implementation meaning that the learning/ development potential is huge! If you thrive on autonomy, love tackling legacy systems and want to make a tangible impact then absolutely keep reading.
What You’ll Do:- Lead the creation of a brand new enterprise data platform on Microsoft Fabric, Databricks and Azure
- Build scalable, reliable and high quality data pipelines
- Transform messy legacy data into actionable business intelligence
- Collaborate closely with leadership to prioritise projects and define the future of the data function
- Hands on expertise with Microsoft Fabric, Azure and Databricks.
- End to end data warehouse development experience
- Strong data modelling skills
- Comfortable owning projects independently whilst collaborating closely with leadership
- Greenfield Project: Build a modern data platform from scratch... no limitations, just possibilities
- Autonomy + Collaboration: Own the implementation whilst working side-by-side with the Head of Data
- Career Growth: Help grow a brand-new data function with huge opportunities for progression
- Cutting-Edge Tech: Work with Microsoft Fabric, Databricks, Azure and Power BI
- Impact: Directly influence how the company uses data to make smarter and faster decisions.
If you love turning messy data into insights, thrive in an autonomous role, and want to lead a transformative data journey, this is your moment to shine!
Senior Data Engineer in Leeds employer: G.Digital
Join a forward-thinking company in West Yorkshire that champions innovation and growth, offering a unique opportunity to lead a greenfield data project. With a strong emphasis on autonomy and collaboration, you'll work closely with leadership to shape the future of the data function while utilising cutting-edge technologies. The supportive work culture fosters continuous learning and career progression, making it an ideal environment for ambitious data professionals looking to make a significant impact.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer in Leeds
✨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 past projects, especially those involving Microsoft Fabric, Azure, and Databricks. This will give potential employers a taste of what you can bring to their greenfield project.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss how you've tackled legacy systems and built scalable data solutions. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic roles waiting for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Senior Data Engineer in Leeds
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Senior Data Engineer role. Highlight your hands-on expertise with Microsoft Fabric, Azure, and Databricks, as well as any end-to-end data warehouse development experience you've got.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're excited about this greenfield project. Share specific examples of how you've tackled legacy systems or built scalable data solutions in the past. We want to see your passion shine through!
Showcase Your Impact:When detailing your previous roles, focus on the tangible impacts you've made. Did you transform messy data into actionable insights? Did you lead a project that improved data quality? We love to see how you've made a difference!
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 this exciting opportunity. Plus, it shows us you’re keen to join our team!
How to prepare for a job interview at G.Digital
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of Microsoft Fabric, Azure, and Databricks. Be ready to discuss how you've used these technologies in past projects, as well as any challenges you've faced and how you overcame them.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've transformed messy legacy data into actionable insights. Highlight specific instances where your data modelling skills made a significant impact on a project or business decision.
✨Demonstrate Leadership Potential
Even if you're applying for a mid-level position, show that you can take ownership of projects. Discuss times when you've led initiatives or collaborated closely with leadership to prioritise tasks and drive results.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data strategy and future projects. This shows your genuine interest in the role and helps you understand how you can contribute to shaping the data function.
