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- Tasks: Own and optimise the data transformation layer for trusted, well-structured data.
- Company: Dynamic fintech company in Greater London with a focus on innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Make a global impact on payments through advanced data solutions.
- Qualifications: 4+ years of experience with dbt, SQL, Python, and data architecture.
- Other info: Mentor fellow analysts in a collaborative and supportive environment.
The predicted salary is between 48000 - 72000 £ per year.
A fintech company in Greater London is seeking a Senior Analytics Engineer to own and maintain the data transformation layer, ensuring trusted and well-structured data.
Responsibilities include:
- Optimizing data performance
- Managing ETL processes
- Mentoring other analysts
The ideal candidate has over 4 years of experience with dbt, SQL and Python, along with a background in data architecture. This role offers a unique chance to impact global payments through advanced data solutions.
Senior Analytics Engineer: Build AI‑Ready Data Layer employer: NALA
Contact Detail:
NALA Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Analytics Engineer: Build AI‑Ready Data Layer
✨Tip Number 1
Network like a pro! Reach out to folks in the fintech space, especially those who work with data. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects with dbt, SQL, 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 interviews by brushing up on common analytics scenarios. Think about how you’d optimise data performance or manage ETL processes. We want you to shine when it’s your turn to impress!
✨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 are proactive about their job search.
We think you need these skills to ace Senior Analytics Engineer: Build AI‑Ready Data Layer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with dbt, SQL, and Python. We want to see how your skills align with the role of a Senior Analytics Engineer, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data architecture and how you can contribute to our mission in fintech. Keep it engaging and personal – we love to see your personality!
Showcase Your Mentoring Skills: Since mentoring is part of the role, share examples of how you've supported other analysts in the past. We’re looking for someone who can uplift the team, so let us know how you’ve made an impact!
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 NALA
✨Know Your Tech Inside Out
Make sure you’re well-versed in dbt, SQL, and Python. Brush up on your knowledge of data architecture too, as you’ll likely be asked to discuss how you’ve used these tools in past projects. Be ready to share specific examples that showcase your expertise.
✨Showcase Your Problem-Solving Skills
Prepare to discuss how you've optimised data performance or managed ETL processes in previous roles. Think of a couple of challenges you faced and how you overcame them. This will demonstrate your analytical thinking and ability to handle complex data issues.
✨Mentorship Matters
Since mentoring is part of the role, be prepared to talk about your experience in guiding other analysts. Share examples of how you’ve helped others grow in their roles, and what strategies you used to foster a collaborative environment.
✨Understand the Company’s Impact
Research the fintech company and its global payments solutions. Be ready to discuss how your role as a Senior Analytics Engineer can contribute to their mission. Showing that you understand their goals will set you apart from other candidates.