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- Tasks: Design and develop data models while writing efficient SQL for impactful data solutions.
- Company: Join a leading fintech company in the heart of London.
- Benefits: Enjoy a competitive salary of £90,000 - £100,000 and flexible working conditions.
- Why this job: Make a real difference in a fast-paced environment with your data expertise.
- Qualifications: 5+ years of experience transitioning from Data Analyst to Data Engineer.
- Other info: Collaborate with stakeholders and thrive in a dynamic team culture.
The predicted salary is between 90000 - 100000 £ per year.
A fintech company is seeking a Lead Data Engineer with a strong data analytics background to join their team in London. The ideal candidate will have over 5 years of experience, transitioning from a Data Analyst role to an engineering position.
You will design and develop data models, write efficient SQL, and collaborate with stakeholders to deliver high-quality data solutions. Flexibility to contribute quickly in a fast-paced environment is essential.
Competitive salary of £90,000 - £100,000.
Lead Data Engineer (Analytics-Driven) in Fintech employer: 83zero Limited
Contact Detail:
83zero Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer (Analytics-Driven) in Fintech
✨Tip Number 1
Network like a pro! Reach out to your connections in the fintech space and let them know you're on the lookout for opportunities. Sometimes, a friendly chat can lead to a hidden job opening that’s not even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data models and SQL projects. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical skills and be ready to discuss how you've tackled challenges in previous roles. We all know that confidence is key, so practice makes perfect!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it’s super easy to navigate!
We think you need these skills to ace Lead Data Engineer (Analytics-Driven) in Fintech
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data analytics and engineering. We want to see how your journey from Data Analyst to Lead Data Engineer has shaped your skills, so don’t hold back on those details!
Showcase Your SQL Skills: Since writing efficient SQL is key for this role, include specific examples of complex queries you've written or optimised. We love seeing how you’ve tackled data challenges in the past!
Highlight Collaboration Experience: We’re all about teamwork here at StudySmarter, so mention any projects where you collaborated with stakeholders. Show us how you’ve delivered high-quality data solutions through effective communication and teamwork.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. We can’t wait to hear from you!
How to prepare for a job interview at 83zero Limited
✨Know Your Data Inside Out
Make sure you’re well-versed in data analytics concepts and tools. Brush up on your SQL skills and be ready to discuss how you've used them in past projects. Being able to explain your thought process when designing data models will impress the interviewers.
✨Showcase Your Transition Journey
Since the role requires a shift from Data Analyst to Data Engineer, prepare to talk about your journey. Highlight specific projects where you’ve taken on engineering responsibilities and how those experiences have shaped your skills. This will demonstrate your growth and adaptability.
✨Prepare for Technical Questions
Expect technical questions that test your problem-solving abilities. Practice coding challenges related to data engineering and be ready to explain your solutions. This will show that you can think critically and work efficiently under pressure.
✨Engage with Stakeholders
Collaboration is key in this role, so be prepared to discuss how you’ve worked with stakeholders in the past. Share examples of how you’ve gathered requirements and delivered data solutions that meet business needs. This will highlight your communication skills and ability to work in a team.
