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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: Enjoy competitive holiday entitlement, private healthcare, and a supportive work environment.
- Other info: Dynamic role with opportunities for professional growth and collaboration.
- Why this job: Make a real impact in the world of data and AI while growing your skills.
- Qualifications: Experience with Azure Databricks, Data Factory, and various database technologies required.
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 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
✨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 mini-project or case study that highlights your experience with Azure Databricks and Data Factory. This will demonstrate your hands-on abilities and set you apart from the crowd.
✨Tip Number 3
Ace the interview by practising common data engineering questions. We recommend doing mock interviews with friends or using online platforms to boost your confidence and refine your answers.
✨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 take the initiative to connect directly with us.
We think you need these skills to ace Senior Data Engineer — AI, Data Lakes & CDP
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 the perfect fit for the Senior Data Engineer role. Share specific examples of how you've delivered data engineering solutions in the past, especially in Agile environments.
Showcase Your Problem-Solving Skills: In your application, highlight instances where you've tackled complex data challenges. We love candidates who can demonstrate their ability to manage quality outputs and understand client needs, so make sure to include those experiences!
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 regarding your application status!
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 other 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 share examples of how you've contributed to Agile projects and how you handle changes in requirements or priorities.
✨Client Needs Matter
Transformuk values understanding client needs, so think about how you can demonstrate your ability to gather requirements and translate them into data engineering solutions. Prepare a couple of scenarios where you successfully met client expectations.
✨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 integrity in your previous work. Highlight any tools or processes you’ve implemented to maintain high standards.