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- Tasks: Design and implement scalable Azure-based data solutions while optimising data pipelines.
- Company: Join a global powerhouse with a people-first culture and innovative projects.
- Benefits: Earn up to ÂŁ85k, enjoy flexible working, and access great perks like private medical insurance.
- Why this job: Make a real impact in data engineering with cutting-edge technology and a supportive team.
- Qualifications: Hands-on experience with Azure, Databricks, and strong data engineering skills required.
- Other info: Flexible hybrid model and excellent career growth opportunities await you.
The predicted salary is between 51000 - 85000 ÂŁ per year.
I'm working with a global powerhouse that's been setting the standard for excellence for over 60 years. With more than 1,000 projects delivered worldwide and a combined value exceeding $150 billion, they've earned a reputation as a trusted leader in highâvalue, complex projects. Today, their 2,500âstrong team spans three continents, driving innovation and growth at scale.
What truly makes this company stand out is its peopleâfirst culture. They champion respect, inclusion, and genuine care for their employees, backed by a flexible hybrid model that gives you control over which three office days you work each week. This is an organisation where worldâclass projects meet an environment that prioritises your wellâbeing and career development.
I'm looking for a Data Engineer who thrives on innovation and loves tackling complex data challenges. If building scalable, cloudâbased solutions excites you, this is your chance to make a real impact. You'll work with cuttingâedge technology and stay at the forefront of the data engineering field.
Youâll Work With:
- Azure Data Services: Data Factory, Data Lake, SQL
- Databricks: Spark, Delta Lake
- Power BI: Advanced dashboards and analytics
- ETL & Data Modelling: TâSQL, metadataâdriven pipelines
Responsibilities:
- Design and implement scalable Azureâbased 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 crossâfunctional teams
Benefits:
- Competitive salary up to ÂŁ85k + 10% discretionary bonus
- 8% nonâcontributory pension, private medical insurance, virtual GP access
- 25 days annual leave (option to buy more), volunteering day, extra leave with tenure
- Lifestyle perks: dental plans, season ticket loans, discounted gym memberships, cycleâtoâwork scheme
- A highâperformance, highâtrust environment with global exposure and flexibility
Key experience:
- Handsâon experience with Azure & Databricks
- Strong data engineering and modelling skills
- Proficiency in Power BI, TâSQL, DAX
- Ability to troubleshoot complex data issues and deliver solutions
Interviews are happening now don't wait to take the next step in your career. Apply today and secure your opportunity to join a leading team!
Data Engineer | Hybrid | London | Databricks | Azure | 85k employer: Jefferson Frank
Contact Detail:
Jefferson Frank Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land Data Engineer | Hybrid | London | Databricks | Azure | 85k
â¨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works at your dream company. Building relationships can open doors that applications alone can't.
â¨Show Off Your Skills
Donât just talk about your experience; showcase it! Create a portfolio or GitHub repository with projects that highlight your data engineering skills. This gives potential employers a tangible look at what you can do.
â¨Ace the Interview
Prepare for interviews by practising common questions and scenarios related to data engineering. Use the STAR method (Situation, Task, Action, Result) to structure your answers and demonstrate your problem-solving abilities.
â¨Apply Through Our Website
When you find a role that excites you, apply through our website! Itâs the best way to ensure your application gets seen by the right people. Plus, we love seeing passionate candidates who are eager to join our team!
We think you need these skills to ace Data Engineer | Hybrid | London | Databricks | Azure | 85k
Some tips for your application đŤĄ
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Data Engineer role. Highlight your hands-on experience with Azure and Databricks, as well as any relevant projects you've worked on.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're excited about this opportunity. Share specific examples of how you've tackled complex data challenges and how you thrive in an Agile environment.
Showcase Your Technical Skills: Donât forget to mention your proficiency in Power BI, T-SQL, and DAX. We want to see how you can build and optimise data pipelines, so include any relevant projects or achievements.
Apply Through Our Website: We encourage you to apply directly through our website. Itâs the best way for us to receive your application and ensures you donât miss out on this fantastic opportunity!
How to prepare for a job interview at Jefferson Frank
â¨Know Your Tech Stack
Make sure youâre well-versed in Azure Data Services, Databricks, and Power BI. Brush up on your knowledge of T-SQL and DAX, as these will likely come up during technical discussions. Being able to speak confidently about your hands-on experience with these tools will impress the interviewers.
â¨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex data challenges. Think about how you designed scalable solutions or optimised data pipelines. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your impact.
â¨Emphasise Collaboration
This company values a people-first culture, so be ready to talk about your experience working in Agile environments and collaborating with cross-functional teams. Share stories that demonstrate your ability to communicate effectively and work well with others to achieve common goals.
â¨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the companyâs culture and projects. Inquire about their approach to data governance and security, or how they support career development. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
