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- Tasks: Design and implement scalable data solutions using Azure and Databricks.
- Company: Global leader in high-value projects with a commitment to employee wellbeing.
- Benefits: Competitive salary, bonus, private medical insurance, and generous leave options.
- Why this job: Join a dynamic team and make an impact with cutting-edge technology.
- Qualifications: Experience with Azure, Databricks, and strong data engineering skills required.
- Other info: Enjoy a hybrid working model and excellent career growth opportunities.
The predicted salary is between 43200 - 78000 £ per year.
I'm currently working with a company that continues to grow even after 60 years in operation. With more than 1,000 projects completed worldwide and a combined project value exceeding $150 billion, they've established themselves as a trusted global leader in delivering high‐value work. Today, they employ over 2,500 people across three continents.
What truly sets my client apart is their commitment to their people. They prioritise respect, inclusion, and genuine care for their employees, supported by a hybrid working model that offers the best of both home and office life. To make this balance even easier, they cover all expenses for any days worked in the office, regardless of how near or far employees live.
Tech Stack: Azure | Databricks | Power BI | Python
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
What you'll do:
- Design and implement scalable Azure‐based data solutions
- Build and optimise 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
Benefits: This role offers a highly competitive salary up to £75k, plus a 10% discretionary bonus and an exceptional benefits package. You'll enjoy an 8% non‐contributory pension with options to top up, private medical insurance, virtual GP access, and an Employee Assistance Programme. Additional perks include 25 days annual leave (with options to buy more), a day for volunteering, and extra leave with tenure, alongside lifestyle benefits such as dental plans, season ticket loans, discounted gym memberships, and a cycle‐to‐work scheme. This is a high‐performance, high‐trust environment that combines global exposure with benefits designed to support your career and wellbeing.
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
If this opportunity is what you are looking for, apply now or send your CV directly to me: l.jones@tenthrevolution.com
Data Engineer - London - Databricks - Azure - 75k + 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 - 75k + bonus
✨Tip Number 1
Network like a pro! Reach out to people in your industry on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.
✨Tip Number 2
Prepare for those interviews by practising common questions and showcasing your skills with real-life examples. We recommend doing mock interviews with friends or using online platforms to get comfortable before the big day.
✨Tip Number 3
Don’t forget to follow up after interviews! A quick thank-you email can go a long way in showing your enthusiasm for the role. We suggest mentioning something specific from the interview to make it personal.
✨Tip Number 4
Apply through our website for the best chance of getting noticed! We’re always on the lookout for talent, and applying directly can help us see your application faster. Plus, it shows you’re genuinely interested in joining our team!
We think you need these skills to ace Data Engineer - London - Databricks - Azure - 75k + 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 match the job description, 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 excited about this role and how you can contribute to our team. Keep it concise but engaging – we love a bit of personality!
Showcase Your Technical Skills: Since this role is all about data engineering, make sure to highlight your hands-on experience with data pipelines and ETL processes. We’re looking for specific examples that demonstrate your problem-solving abilities.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our awesome team!
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 or experiences where you've used these technologies will really impress the interviewers.
✨Showcase Your Problem-Solving Skills
Prepare to discuss complex data issues you've encountered and how you resolved them. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will demonstrate your analytical thinking and ability to troubleshoot effectively.
✨Understand the Company Culture
Research the company’s commitment to respect, inclusion, and employee wellbeing. Be ready to share how you align with these values and how you can contribute to a positive work environment. This shows that you’re not just a fit for the role, but also for the company culture.
✨Prepare Questions for Them
Have a few thoughtful questions ready about the team dynamics, the hybrid working model, or the types of projects you might be working on. This shows your genuine interest in the role and helps you assess if it’s the right fit for you too.
