Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design data architecture and optimise pipelines for complex datasets.
- Company: Leading UK tech firm with a focus on innovation.
- Benefits: Hybrid work model, competitive pay, and opportunities for professional growth.
- Why this job: Join a dynamic team and make an impact in the financial services sector.
- Qualifications: 10+ years in data engineering, expertise in Azure Databricks, Python, and Spark.
- Other info: Ideal for those seeking a challenging role in a collaborative environment.
The predicted salary is between 48000 - 72000 £ per year.
A UK-based technology firm is seeking a Senior Data Engineer for a contract position in London. Candidates should have over 10 years of experience in data engineering, with notable expertise in Azure Databricks and proficiency in Python and Spark. The role involves designing data architecture, optimizing pipelines, and ensuring data quality. This hybrid position allows for 2–3 days of office work, making it ideal for someone skilled in handling complex datasets within a financial services context.
Senior Data Engineer (SC Cleared) – Azure Databricks employer: Thrive IT Systems
Contact Detail:
Thrive IT Systems Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer (SC Cleared) – Azure Databricks
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work with Azure Databricks. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data engineering projects, particularly those involving Python and Spark. This will give potential employers a clear view of what you can bring to the table.
✨Tip Number 3
Ace the interview! Research common interview questions for Senior Data Engineers and practice your answers. Be ready to discuss your experience with data architecture and pipeline optimisation in detail.
✨Tip Number 4
Apply through our website! We make it easy for you to find roles that match your skills. Plus, applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Senior Data Engineer (SC Cleared) – Azure Databricks
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure Databricks, Python, and Spark. 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 the perfect fit for this Senior Data Engineer position. We love seeing enthusiasm and a clear understanding of the role, so let your personality come through.
Showcase Your Problem-Solving Skills: In your application, highlight specific examples where you've designed data architecture or optimised pipelines. We’re looking for candidates who can tackle complex datasets, especially in financial services, so share those success stories!
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. Plus, we love seeing applications come in through our own platform!
How to prepare for a job interview at Thrive IT Systems
✨Know Your Tech Inside Out
Make sure you brush up on your Azure Databricks, Python, and Spark skills. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Showcase Your Data Architecture Skills
Prepare to talk about your experience in designing data architecture. Think of examples where you optimised data pipelines or ensured data quality, especially in a financial services context. This will demonstrate your ability to handle complex datasets.
✨Be Ready for Scenario-Based Questions
Expect scenario-based questions that test your problem-solving skills. Practice articulating your thought process when faced with data-related challenges, as this will show your analytical capabilities and how you approach real-world problems.
✨Understand the Company Culture
Research the company’s values and culture. Since this is a hybrid role, be prepared to discuss how you manage your time between office and remote work, and how you collaborate with teams in both settings.
