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For Companies At a Glance
- Tasks: Build robust data pipelines and shape trusted data models for innovative AI products.
- Company: Exciting FinTech startup with a focus on AI and analytics.
- Benefits: Direct access to founders, high-impact work, and a dynamic learning environment.
- Other info: High-intensity role with opportunities for significant career growth.
- Why this job: Join a team of top minds and influence the future of banking analytics.
- Qualifications: 5+ years in data engineering, elite SQL skills, and experience with modern data tools.
The predicted salary is between 70000 - 90000 £ per year.
We have a new role just go live with an incredibly exciting FinTech who are building AI products which change how analytical and operational work is done in the banking sector. If you’re an experienced Analytics Engineer looking for a challenge to throw yourself into and build something incredible, this is the one for you. It’s an extremely rare opportunity to work side-by-side with founders who have already sold businesses for hundreds of millions in their short careers. You’ll be surrounded by some of the best minds and engineers you have ever worked with and be able to immerse yourself in a team who all believe they are building something really special. If you’re already someone who looks to build AI Agents to solve problems, you’ll find yourself in like-minded company.
The Role
- Build rock‑solid data pipelines (batch + streaming).
- Shape clean, trusted data models used across the business.
- Define core metrics with product and commercial teams.
- Power self‑serve analytics through well‑designed semantic layers.
- Guarantee data quality with automated tests and rapid incident response.
What You’re Signing Up For
- A high‑intensity, high‑ownership environment.
- Big swings, fast pivots, and serious learning.
- Direct access to founders and real influence on product direction.
- Hard work, huge impact, zero boredom.
What You Bring
- Strong academic background.
- 5+ years of data engineering or similar, owning production pipelines.
- Elite SQL + strong data modeling skills.
- Experience working with tools such as LookML or equivalents.
- Experience with modern data stack tools.
- Proven ability to build reliable, observable data systems.
How to Apply
If you’re at the stage of your career where you’re ready to commit fully to a company already with a strong product-market fit and make a defining statement, send over your CV or contact Adam Whitehurst at Trust in Soda for more info.
Senior Analytics Engineer in London employer: Trust In SODA
Contact Detail:
Trust In SODA Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Analytics Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in the FinTech space, especially those who work with AI products. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines and analytics projects. This is your chance to demonstrate your elite SQL and data modelling skills in action.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of modern data stack tools. Be ready to discuss how you've built reliable data systems and how you can contribute to their team.
✨Tip Number 4
Don’t forget to 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 Analytics Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Senior Analytics Engineer. Highlight your experience with data pipelines, SQL skills, and any relevant tools you've used. We want to see how your background aligns with what we're building!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for AI and analytics, and explain why you're excited about this opportunity. Let us know how you can contribute to our mission and what makes you a great fit for our team.
Showcase Your Projects: If you've worked on any cool projects or built impressive data systems, don’t hold back! Include links or descriptions in your application. We love seeing real-world examples of your work and how you tackle challenges.
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 the role. Plus, it shows us you’re serious about joining our team!
How to prepare for a job interview at Trust In SODA
✨Know Your Data Inside Out
As a Senior Analytics Engineer, you’ll be expected to have a strong grasp of data pipelines and modelling. Brush up on your SQL skills and be ready to discuss your experience with building reliable data systems. Prepare examples of how you've tackled data quality issues in the past.
✨Showcase Your Problem-Solving Skills
This role is all about building AI products that solve real problems. Think of specific challenges you've faced in previous roles and how you approached them. Be prepared to explain your thought process and the impact of your solutions.
✨Familiarise Yourself with Their Tech Stack
Research the tools mentioned in the job description, like LookML and modern data stack tools. If you have experience with similar technologies, be ready to discuss how you can leverage that knowledge in this new role.
✨Emphasise Team Collaboration
You’ll be working closely with founders and other teams, so highlight your experience in collaborative environments. Share examples of how you’ve worked cross-functionally to define core metrics or improve analytics processes.