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- Tasks: Lead a team to design and implement scalable data solutions in Azure and Databricks.
- Company: Join Canada Life UK, a leader in innovative data engineering.
- Benefits: Enjoy hybrid working, competitive salary, pension, and private medical insurance.
- Other info: Great opportunity for career growth in a dynamic environment.
- Why this job: Make a real impact by ensuring high data quality and performance.
- Qualifications: Strong experience with Databricks, Azure, teamwork, and problem-solving skills.
The predicted salary is between 60000 - 80000 £ per year.
Canada Life UK is seeking a Lead Data Engineer to provide technical leadership in Azure cloud and Databricks solutions. You will lead a cross-functional team to design and implement scalable data solutions, ensuring high data quality and performance.
Strong experience with Databricks and Azure, along with excellent teamwork and problem-solving abilities, are essential.
This role offers hybrid working options, competitive salary, and comprehensive benefits including a pension and private medical insurance.
Lead Data Engineer: Azure, Databricks & DevOps in London employer: Canada Life UK
Contact Detail:
Canada Life UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer: Azure, Databricks & DevOps in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with Azure and Databricks. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best projects related to Azure and Databricks. This will not only demonstrate your technical prowess but also give you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for the interview by brushing up on common data engineering challenges. Think about how you would tackle issues related to data quality and performance, as these are key in the role at Canada Life UK.
✨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 that extra step to connect with us directly.
We think you need these skills to ace Lead Data Engineer: Azure, Databricks & DevOps in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure and Databricks. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or 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 lead a team effectively. Let us know what makes you the perfect fit for this role.
Showcase Teamwork Skills: Since this role involves leading a cross-functional team, make sure to highlight your teamwork and leadership experiences. We love to see examples of how you've collaborated with others to solve problems.
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 from us!
How to prepare for a job interview at Canada Life UK
✨Know Your Tech Inside Out
Make sure you brush up on your Azure and Databricks knowledge. Be ready to discuss specific projects where you've used these technologies, and think about how you can demonstrate your technical leadership skills.
✨Showcase Your Teamwork Skills
Since this role involves leading a cross-functional team, be prepared to share examples of how you've successfully collaborated with others. Highlight any challenges you faced and how you overcame them together.
✨Prepare for Problem-Solving Questions
Expect questions that test your problem-solving abilities. Think of scenarios where you've had to troubleshoot data issues or optimise performance in previous roles, and be ready to walk the interviewer through your thought process.
✨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 their current data challenges or how they envision the future of their data solutions, which will demonstrate your enthusiasm and strategic thinking.