Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and implement scalable data solutions using Azure and Databricks.
- Company: Join a forward-thinking team in London focused on innovation.
- Benefits: Competitive salary, bonus, flexible benefits, and 25 days holiday.
- Why this job: Shape the future of data and solve complex challenges.
- Qualifications: Experience with Azure, Databricks, Power BI, and strong data engineering skills.
- Other info: High-trust culture with excellent career growth opportunities.
The predicted salary is between 42000 - 84000 £ per year.
Are you ready to shape the future of data? We are looking for a Data Engineer to join a team that thrives on innovation and cutting-edge technology. If you love solving complex data challenges and building scalable solutions, this is your chance to make an impact.
What You'll Work With:
- Azure Data Services: Data Factory, Data Lake, SQL
- Databricks: Spark, Delta Lake
- Power BI: Advanced dashboards
- ETL & Data Modelling: T-SQL, metadata-driven pipelines
- DevOps: CI/CD
- Bonus: Python
What you'll do:
- Design and implement scalable Azure-based data solutions
- Build and optimize data pipelines for integration and transformation
- Develop Power BI dashboards for global stakeholders
- Ensure data quality, governance, and security
- Collaborate in an Agile environment with cross-functional teams
What We're Looking For:
- Hands-on experience with Azure & Databricks
- Strong data engineering and modelling skills
- Proficiency in Power BI, T-SQL, DAX
- Ability to troubleshoot complex data issues and deliver solutions
Benefits:
- Competitive salary + bonus
- Pension, private medical, flexible benefits
- 25 days holiday + buy more options
- High-trust, high-performance culture
If you love working with modern data platforms and want to make an impact, apply today.
Data Engineer - London - Databricks - Azure - 70k + bonus employer: Jefferson Frank
Contact Detail:
Jefferson Frank Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - London - Databricks - Azure - 70k + bonus
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow data enthusiasts. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Azure, Databricks, and Power BI. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the latest trends in data engineering. Practice common interview questions and be ready to discuss how you've tackled complex data challenges in the past.
✨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 are proactive about their job search!
We think you need these skills to ace Data Engineer - London - Databricks - Azure - 70k + bonus
Some tips for your application 🫡
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 job description, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re passionate about data engineering and how you can contribute to our innovative team. Keep it concise but impactful!
Showcase Your Projects: If you've worked on any cool data projects, make sure to mention them! Whether it's building data pipelines or creating dashboards, we love seeing real-world applications of your skills.
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’re considered for this exciting opportunity!
How to prepare for a job interview at Jefferson Frank
✨Know Your Tech Stack
Make sure you’re well-versed in Azure, Databricks, and Power BI. Brush up on your knowledge of data services like Data Factory and Data Lake, as well as ETL processes. Being able to discuss specific projects where you've used these technologies will really impress the interviewers.
✨Showcase Your Problem-Solving Skills
Prepare to discuss complex data challenges you've faced and how you tackled them. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will demonstrate your analytical thinking and ability to deliver solutions under pressure.
✨Understand the Agile Environment
Since the role involves collaboration in an Agile setting, be ready to talk about your experience working in Agile teams. Highlight any specific methodologies you’ve used and how they contributed to project success. This shows you can adapt and thrive in a dynamic work culture.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s data strategy, team dynamics, or future projects. This not only shows your genuine interest in the role but also gives you a chance to assess if the company is the right fit for you. Remember, interviews are a two-way street!
