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- Tasks: Design and implement a secure, scalable data lakehouse using modern tools.
- Company: Leading UK digital services company with a high-performing team.
- Benefits: Generous holiday options, pension scheme, and employee discounts.
- Why this job: Join a dynamic team and work with cutting-edge technology in data analytics.
- Qualifications: Experience in data engineering and familiarity with Azure/Databricks.
- Other info: Great opportunity for career growth in a collaborative environment.
The predicted salary is between 36000 - 60000 £ per year.
A leading UK digital services company is seeking a Data Engineer to join their high-performing team in Bristol. In this role, you will support the design and implementation of the enterprise data lakehouse, ensuring data is trusted, secure, and scalable. You will collaborate closely with finance and analytics teams while having the opportunity to leverage modern tools like Databricks and Power BI.
The position comes with a generous benefits package, including holiday options, a pension scheme, and various employee discounts.
Data Engineer – Cloud Lakehouse & Analytics (Azure/Databricks) in Bristol employer: Das Group
Contact Detail:
Das Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer – Cloud Lakehouse & Analytics (Azure/Databricks) in Bristol
✨Tip Number 1
Network like a pro! Reach out to current employees at the company on LinkedIn or attend industry meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that Data Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects with Databricks and Power BI. We want to see how you’ve tackled real-world problems, so make sure to highlight your achievements in data engineering.
✨Tip Number 3
Prepare for the interview by brushing up on your technical knowledge. We recommend practising common data engineering scenarios and being ready to discuss how you would design a scalable data lakehouse. Confidence is key!
✨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 engage directly with us.
We think you need these skills to ace Data Engineer – Cloud Lakehouse & Analytics (Azure/Databricks) in Bristol
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that match the Data Engineer role. We want to see how your background aligns with our needs, so don’t be shy about showcasing your expertise in Azure, Databricks, and data lakehouse design.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you’re passionate about data engineering and how you can contribute to our team. Be specific about your experiences and how they relate to the job description.
Showcase Your Projects: If you've worked on any relevant projects, whether in a professional setting or as personal endeavours, make sure to mention them. We love seeing practical examples of your work, especially if they involve modern tools like Power BI or Databricks.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves!
How to prepare for a job interview at Das Group
✨Know Your Tech Stack
Make sure you’re well-versed in Azure, Databricks, and any other tools mentioned in the job description. Brush up on your knowledge of data lakehouses and analytics processes, as you’ll likely be asked to discuss how you’ve used these technologies in past projects.
✨Showcase Collaboration Skills
Since this role involves working closely with finance and analytics teams, prepare examples that highlight your teamwork and communication skills. Think of specific instances where you successfully collaborated on a project and how it benefited the overall outcome.
✨Prepare for Scenario Questions
Expect scenario-based questions that assess your problem-solving abilities. Practice articulating how you would approach designing a secure and scalable data lakehouse, and be ready to discuss potential challenges and solutions.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company and the role. Inquire about the team’s current projects or how they measure success in their data initiatives. This not only demonstrates your enthusiasm but also helps you gauge if the company is the right fit for you.
