At a Glance
- Tasks: Lead the development of a cutting-edge data platform using Azure Databricks.
- Company: Join a specialist FinTech and Investment technology business in London.
- Benefits: Enjoy a competitive salary, private medical insurance, and generous holiday allowance.
- Other info: Flexible hybrid work model with excellent career growth opportunities.
- Why this job: Shape the future of data engineering while working with innovative AI tools.
- Qualifications: Experience in data engineering, Databricks, and regulated finance environments required.
The predicted salary is between 85000 - 95000 £ per year.
Are you a technologist Data Engineer with experience of working in regulated financial environments? You could be progressing your career at a specialist FinTech and Investment technology business.
As a Senior Data Engineer / Architect, you'll take a hands-on lead role in shaping and developing the company's data platform. You'll design and build robust Databricks pipelines, develop reusable data products and medallion architecture and help modernise the data estate, migrating legacy data stores, stored procedures and SSRS reporting onto a governed, scalable platform.
Collaborating with the Head of Engineering, platform engineers, data governance colleagues and the existing data team, you'll influence data architecture and engineering standards while remaining actively involved in delivery. You'll also help drive the adoption of AI assisted and agentic development, ensuring AI generated code and data solutions are properly designed, tested and controlled.
Location / WFH: You'll join colleagues in the London, City office 2-3 days with flexibility to work from home in a hybrid model.
About you:
- You are an experienced Data Engineer keen to take ownership and drive technical transformation.
- You have a strong knowledge of Databricks combined with a good understanding of SQL and SSRS, experience with Azure Data Lakes nice to have.
- You have experience of working in regulated finance / FinTech environments.
- You have experience with data transformation and modernising reporting.
- You have experience using Agentic AI tools.
- You're collaborative with great communication and problem solving skills.
What's in it for you:
- Salary to £95k.
- Private medical and dental insurance plus Virtual GP / Nurse appointments.
- Life Assurance and Income Protection.
- Pension to 15%.
- Holiday allowance starting at 25 days, and rising with service.
- Spend up to 4 weeks working abroad.
- Enhanced family leave (maternity, paternity, adoption).
- Training, development and study sponsorship.
- Regular social events calendar and wellbeing activities.
- Quarterly recognition and reward events.
Senior Data Engineer Azure Databricks in London employer: Client Server Ltd.
Join a dynamic tech start-up in London, where you'll not only advance your career as a Senior Backend Software Engineer but also play a pivotal role in shaping the future of AI-driven data solutions. With a competitive salary of up to £120k, flexible work-from-home options, and a culture that fosters collaboration and innovation, this is an exceptional opportunity for those looking to make a meaningful impact while enjoying significant growth potential in a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer Azure Databricks in London
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We think you need these skills to ace Senior Data Engineer Azure Databricks in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Client Server Ltd., your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Client Server Ltd.. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Client Server Ltd.
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
