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- Tasks: Join an Agile team to deliver innovative data engineering solutions for insights and analytics.
- Company: Transformuk, a forward-thinking tech company focused on AI and data solutions.
- Benefits: Comprehensive benefits including competitive holiday entitlement and private healthcare.
- Other info: Dynamic work environment with opportunities for professional growth and development.
- Why this job: Make a real impact in the world of data and AI while working with cutting-edge technologies.
- Qualifications: Experience with Azure Databricks, Data Factory, and various database technologies.
The predicted salary is between 60000 - 80000 £ per year.
Transformuk is looking for a Senior Data Engineer to join their Technology department. The candidate will work as part of an Agile team and focus on delivering data engineering solutions for insight, reporting, and analytics, including AI.
Responsibilities include:
- Managing the quality of outputs
- Understanding client needs
- Working with various data sources
Ideal candidates will have experience with Azure Databricks, Data Factory, and a range of database technologies.
The role offers comprehensive benefits, including a competitive holiday entitlement and private healthcare.
Senior Data Engineer — AI, Data Lakes & CDP in London employer: Transformuk
Contact Detail:
Transformuk Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer — AI, Data Lakes & CDP in London
✨Tip Number 1
Network like a pro! Reach out to current employees at Transformuk on LinkedIn. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project that highlights your experience with Azure Databricks and Data Factory. This will demonstrate your hands-on abilities and make you stand out.
✨Tip Number 3
Ace the interview by understanding their needs. Research Transformuk’s recent projects and think about how your data engineering solutions can add value. Tailor your answers to show you’re the perfect fit!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step.
We think you need these skills to ace Senior Data Engineer — AI, Data Lakes & CDP in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure Databricks, Data Factory, and any relevant database technologies. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how you can contribute to our Agile team. Let us know what excites you about working with AI and analytics.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled challenges in previous roles. We love seeing candidates who can think critically and deliver quality outputs, so share those success stories with us!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you get the best experience possible. Plus, we can’t wait to hear from you!
How to prepare for a job interview at Transformuk
✨Know Your Tech Stack
Make sure you’re well-versed in Azure Databricks, Data Factory, and the various database technologies mentioned in the job description. Brush up on your technical skills and be ready to discuss how you've used these tools in past projects.
✨Understand Agile Methodologies
Since you'll be working in an Agile team, it’s crucial to understand Agile principles. Be prepared to talk about your experience with Agile practices and how they’ve helped you deliver data engineering solutions effectively.
✨Client Needs Matter
Transformuk values understanding client needs, so think of examples where you’ve successfully gathered requirements or delivered solutions that met client expectations. This will show your ability to align technical work with business goals.
✨Quality is Key
Managing the quality of outputs is a big part of the role. Be ready to discuss your approach to ensuring data quality and any tools or processes you’ve implemented to maintain high standards in your previous roles.