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- Tasks: Build and operate scalable ELT pipelines while mentoring your team.
- Company: Join a high-growth FinTech company in the UK with a dynamic culture.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Shape the future of data products and make a real impact in FinTech.
- Qualifications: 4+ years in data/backend engineering with skills in DBT, Airflow, and Python.
- Other info: Exciting chance to work with cutting-edge cloud technologies like GCP or AWS.
The predicted salary is between 36000 - 60000 £ per year.
A high-growth FinTech company in the United Kingdom seeks a Mid-Senior level Data Engineer to join their team. In this role, you will build and operate scalable ELT pipelines, improve data reliability and governance, and mentor other team members.
The ideal candidate has over 4 years of experience in data/backend engineering and is skilled in DBT, Airflow, Terraform, Python, SQL, and cloud platforms like GCP or AWS.
This is a full-time position offering the opportunity to shape the future of internal data products.
Senior Data Engineer - Cloud Data Platform & ELT Lead employer: Oliver Bernard
Contact Detail:
Oliver Bernard Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer - Cloud Data Platform & ELT Lead
✨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 referral that gets you in the door.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects with DBT, Airflow, and Python. 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 your experience with ELT pipelines and cloud platforms. Practising common interview questions can help you feel more confident when it’s your turn to shine.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting roles, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications this way!
We think you need these skills to ace Senior Data Engineer - Cloud Data Platform & ELT Lead
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with DBT, Airflow, Terraform, and cloud platforms like GCP or AWS. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re passionate about data engineering and how you can contribute to our team. Mention any mentoring experience too, as we value collaboration.
Showcase Your Problem-Solving Skills: In your application, include examples of how you've tackled challenges in building scalable ELT pipelines or improving data reliability. We love seeing how you think and approach problems!
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 updates from our team!
How to prepare for a job interview at Oliver Bernard
✨Know Your Tech Stack
Make sure you’re well-versed in DBT, Airflow, Terraform, Python, SQL, and the cloud platforms mentioned in the job description. Brush up on your knowledge and be ready to discuss how you've used these tools in past projects.
✨Showcase Your ELT Experience
Prepare specific examples of scalable ELT pipelines you've built or operated. Be ready to explain the challenges you faced and how you improved data reliability and governance in those scenarios.
✨Mentorship Matters
Since mentoring is part of the role, think about your past experiences where you’ve guided others. Share stories that highlight your leadership skills and how you’ve helped team members grow.
✨Cultural Fit and Growth Mindset
Research the company’s culture and values. Be prepared to discuss how you align with their mission and how you can contribute to shaping the future of their internal data products. Show enthusiasm for growth and innovation!
