At a Glance
- Tasks: Design and implement scalable Azure-based data solutions using Databricks and Power BI.
- Company: Leading data consultancy in London with a high-trust culture.
- Benefits: Competitive salary of Β£75k, bonuses, and flexible working options.
- Why this job: Shape the future of data while working with cutting-edge technologies.
- Qualifications: Hands-on experience with Azure, Databricks, and strong data engineering skills.
The predicted salary is between 60000 - 84000 Β£ per year.
A leading data consultancy in London is seeking a Data Engineer to design and implement scalable Azure-based data solutions. The ideal candidate will have hands-on experience with Azure and Databricks, strong data engineering skills, and proficiency in Power BI.
The role offers a competitive salary of Β£75k plus bonus and benefits, including a high-trust culture and flexible options. Join us to shape the future of data.
Azure Data Engineer: Databricks, Power BI & ETL Innovator in London employer: Jefferson Frank
Contact Detail:
Jefferson Frank Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land Azure Data Engineer: Databricks, Power BI & ETL Innovator in London
β¨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
β¨Tip Number 2
Show off your skills! Create a portfolio showcasing your Azure and Databricks projects. This gives potential employers a taste of what you can do and sets you apart from the crowd.
β¨Tip Number 3
Prepare for those interviews! Brush up on common data engineering questions and be ready to discuss your experience with Power BI. Practice makes perfect, so consider mock interviews with friends or mentors.
β¨Tip Number 4
Apply through our website! We love seeing candidates who are genuinely interested in joining us. Tailor your application to highlight your relevant experience and show how you can contribute to shaping the future of data.
We think you need these skills to ace Azure Data Engineer: Databricks, Power BI & ETL Innovator in London
Some tips for your application π«‘
Tailor Your CV: Make sure your CV highlights your experience with Azure, Databricks, and Power BI. We want to see how your skills align with the role, so donβt be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why youβre passionate about data engineering and how you can contribute to our high-trust culture. Keep it engaging and personal.
Showcase Your Projects: If you've worked on any cool data projects, make sure to mention them! We love seeing real-world applications of your skills, especially if they involve ETL processes or innovative solutions.
Apply Through Our Website: We encourage you to apply directly through our website. Itβs the best way for us to receive your application and ensures youβre considered for this exciting opportunity to shape the future of data with us!
How to prepare for a job interview at Jefferson Frank
β¨Know Your Azure Inside Out
Make sure you brush up on your Azure knowledge before the interview. Familiarise yourself with the latest features and best practices, especially around data solutions. Being able to discuss specific projects where you've implemented Azure will really impress them.
β¨Show Off Your Databricks Skills
Prepare to talk about your hands-on experience with Databricks. Have examples ready that showcase how you've used it to solve real-world problems. If you can share insights on optimising performance or managing data workflows, you'll definitely stand out.
β¨Power BI Proficiency is Key
Since Power BI is a crucial part of the role, be ready to demonstrate your expertise. Bring along any dashboards or reports you've created and be prepared to explain your design choices. This will show your ability to turn data into actionable insights.
β¨Emphasise Your ETL Experience
Highlight your experience with ETL processes during the interview. Discuss the tools you've used and the challenges you've faced. Showing that you can effectively manage data pipelines will reassure them that you're the right fit for their team.