At a Glance
- Tasks: Lead the design and build of a cutting-edge data platform from scratch.
- Company: Join a forward-thinking financial services client on an exciting transformation journey.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Why this job: Shape the future of data engineering in a greenfield project with real impact.
- Qualifications: Strong backend data engineering experience; Microsoft Fabric/Synapse knowledge is a plus.
- Other info: Work 2 days a week on-site in Nottingham with a dynamic team.
The predicted salary is between 60000 - 84000 £ per year.
Synapri are working with a financial services client who are kicking off a 2.5-year transformation program and require a Lead Data Engineer to play a key role in a greenfield implementation project which will involve shaping the platform from the ground up.
You will be leading the design and build of the data estate they will be using going forward, working directly with the Head of Data, and partnering across multiple business areas. Strong backend data engineering experience is essential, and experience with Microsoft Fabric and/or Synapse on Azure would be highly desirable. The role requires 2 days a week on-site in Nottingham.
Salary is £70,000–£90,000 depending on experience.
Requirements:- Strong backend data engineering experience (essential)
- Experience with Microsoft Fabric and/or Synapse and/or DataFactory (highly desirable)
- Proficiency in Python and/or SQL (desirable)
- Strong stakeholder management skills, with the ability to work across multiple areas of the business
If this sounds like something you are interested in apply now.
Lead Data Engineer in Nottingham employer: Synapri
Contact Detail:
Synapri Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer in Nottingham
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who might know someone at Synapri. A friendly chat can sometimes lead to opportunities that aren’t even advertised.
✨Tip Number 2
Prepare for the interview by brushing up on your backend data engineering skills. Make sure you can talk confidently about your experience with Microsoft Fabric and Azure, as these are key for this role.
✨Tip Number 3
Showcase your stakeholder management skills! Think of examples where you've successfully collaborated across teams. This will demonstrate your ability to work effectively in a multi-faceted environment.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Lead Data Engineer in Nottingham
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your strong backend data engineering experience. We want to see how your skills align with the requirements, especially your experience with Microsoft Fabric or Synapse.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for this Lead Data Engineer role. Share specific examples of your past projects and how they relate to shaping a data platform from scratch.
Showcase Your Technical Skills: Don’t forget to mention your proficiency in Python and SQL! We love seeing candidates who can demonstrate their technical expertise clearly and confidently.
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 it gets into the right hands quickly!
How to prepare for a job interview at Synapri
✨Know Your Tech Inside Out
Make sure you brush up on your backend data engineering skills, especially with Microsoft Fabric and Synapse. Be ready to discuss your experience in detail, as well as any projects you've worked on that showcase your expertise in Python and SQL.
✨Showcase Your Leadership Skills
As a Lead Data Engineer, you'll be expected to lead and collaborate with various teams. Prepare examples of how you've successfully managed stakeholders and driven projects forward. Highlight your ability to communicate complex technical concepts to non-technical team members.
✨Understand the Business Context
Familiarise yourself with the financial services sector and the specific challenges it faces. This will help you tailor your answers to show how your skills can directly benefit the company’s transformation programme and data estate.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data strategy and the role's expectations. This not only shows your interest but also helps you gauge if the company aligns with your career goals. Think about asking how they envision the data estate evolving over the next few years.