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- Tasks: Build scalable ELT pipelines and enhance data reliability in a fast-paced environment.
- Company: Join a high-growth FinTech company leading the way in innovation.
- Benefits: Full-time role with mentorship, competitive salary, and opportunities for growth.
- Why this job: Make an impact in the FinTech space while working with cutting-edge technologies.
- Qualifications: 4+ years of data or backend engineering experience with skills in DBT, Airflow, and Python.
- Other info: Collaborative culture with cross-functional teamwork and excellent career advancement potential.
The predicted salary is between 36000 - 60000 £ per year.
A high-growth FinTech company in the United Kingdom is seeking a Mid-Senior Level Data Engineer. You will build scalable ELT pipelines and data models while strengthening data reliability and governance.
The ideal candidate has over 4 years of data or backend engineering experience and is proficient in DBT, Airflow, Terraform, Python, SQL, and GCP/AWS.
This is a full-time role with opportunities for mentorship and cross-functional collaboration.
Senior Data Engineer: Cloud-Native ELT Platform employer: Oliver Bernard
Contact Detail:
Oliver Bernard Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer: Cloud-Native ELT Platform
✨Tip Number 1
Network like a pro! Reach out to folks in the FinTech space, especially those who work with ELT pipelines. A friendly chat can open doors and give you insights that might just land you that interview.
✨Tip Number 2
Show off your skills! If you've built any cool data models or pipelines, create a portfolio or GitHub repo to showcase your work. This is your chance to demonstrate your expertise in DBT, Airflow, and Python.
✨Tip Number 3
Prepare for the technical interview! Brush up on your SQL and cloud platform knowledge. We recommend practicing common data engineering problems and being ready to discuss your past projects in detail.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Data Engineer: Cloud-Native ELT Platform
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with DBT, Airflow, Terraform, Python, SQL, and GCP/AWS. We want to see how your skills align with what we're looking for, so don’t be shy about showcasing your 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 cloud-native ELT platform. We love hearing about your journey and what drives you.
Showcase Your Problem-Solving Skills: In your application, share examples of challenges you've faced in previous roles and how you tackled them. We value candidates who can think critically and adapt, especially in a high-growth environment like ours.
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’re considered for this exciting opportunity. Plus, it’s super easy!
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 GCP/AWS. Brush up on your knowledge of these tools and be ready to discuss how you've used them in past projects. This will show that you’re not just familiar with the tech but can also apply it effectively.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in data engineering and how you overcame them. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will demonstrate your analytical thinking and ability to tackle complex problems.
✨Understand Data Governance
Since the role involves strengthening data reliability and governance, be prepared to talk about your experience with data quality, compliance, and security measures. Highlight any frameworks or best practices you’ve implemented in previous roles to ensure data integrity.
✨Emphasise Collaboration
This position offers opportunities for mentorship and cross-functional collaboration, so be ready to discuss how you’ve worked with other teams in the past. Share examples of successful collaborations and how they contributed to project success, showcasing your teamwork skills.