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- Tasks: Join a dynamic team to design and maintain impactful data products.
- Company: Trade Republic, Europe's largest savings platform with a mission to democratise wealth.
- Benefits: Competitive salary, relocation support, and a culture that values ownership and excellence.
- Other info: Collaborative environment with opportunities for professional growth and diverse perspectives.
- Why this job: Make a real difference in closing the pension gap while growing your career.
- Qualifications: 5+ years of engineering experience with a strong analytical mindset.
The predicted salary is between 36000 - 60000 £ per year.
Please note that the positions are based in London, United Kingdom — relocation and visa support is provided if required (only if already based in the United Kingdom or Europe).
BEST WORK OF YOUR CAREER
Trade Republic is the largest savings platform in Europe - we operate in 18 countries, serving +10 million customers who trusted us with over 150B in assets. But we're striving for more. We have a bold mission to empower everyone to build wealth with easy, safe, and free access to financial systems. You will have the opportunity to grow your career by collaborating with a team of outstanding talents and state of the art technology to build a lasting, positive future for millions.
WHAT YOU'LL BE DOING
- You will join a product delivery team and be responsible for ingesting, modeling, and publishing data to scale our business.
- You will design and maintain data products, collaborate on success metrics, and ensure interoperability by leveraging a self-service analytics platform and adhering to best practices.
- Working closely with product and business stakeholders to define and build meaningful product metrics.
- Developing analytical products such as data models, dashboards, reports and tooling to enable self-serve reporting and analysis for stakeholders.
- Improving our architecture (cloud-based and always evolving) based on what brings the most impact to cost reduction and speed, applying software engineering best practices.
- Taking ownership of projects from scoping to delivery and adoption, working autonomously.
WHAT WE'RE LOOKING FOR
- At least 5 years of engineering experience with an analytical mindset.
- Solid understanding of architectures, design principles and engineering best practices.
- Experience across all stages of the data pipeline: ingestion, transformations, mart creation.
- Experience with our tech stack is a bonus: S3/Snowflake/Airflow/Python/DBT.
WHY YOU SHOULD APPLY NOW
Our culture rewards ownership, excellence, and high energy. We care deeply about outcomes and hold each other accountable - we're here to win and fix one of the largest challenges Europeans face - closing the pension gap and democratising wealth. If this gets you fired up, reach out! We believe it's our team's varied identities and backgrounds that make us sharper and stronger. We're committed to creating an environment where everyone feels respected and has equal opportunity to thrive in their careers. For any questions on DEI during the interview process, reach out to your recruitment partner.
Analytics Engineering (London) employer: Trade Republic
Contact Detail:
Trade Republic Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Engineering (London)
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by practising common questions and showcasing your analytical skills. Use real-life examples from your experience to demonstrate how you've tackled challenges and delivered results.
✨Tip Number 3
Don’t just apply blindly! Tailor your approach for each role. Research the company culture and values, and align your application to show how you fit into their mission of empowering wealth-building.
✨Tip Number 4
Apply through our website for the best chance at landing that dream job! We love seeing candidates who are genuinely interested in joining our mission and making an impact in the financial world.
We think you need these skills to ace Analytics Engineering (London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Analytics Engineering role. Highlight your experience with data pipelines, analytical products, and any relevant tech stack knowledge to catch our eye!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about the role and how you can contribute to our mission. Share specific examples of your past work that demonstrate your analytical mindset and ownership of projects.
Showcase Your Technical Skills: Don’t shy away from listing your technical skills! If you’ve worked with S3, Snowflake, Airflow, Python, or DBT, make sure to mention these in your application. We love seeing candidates who are familiar with our tech stack.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Trade Republic
✨Know Your Data Pipeline
Make sure you understand the entire data pipeline process, from ingestion to transformation and mart creation. Brush up on your knowledge of architectures and design principles, as this will show that you have the analytical mindset they’re looking for.
✨Familiarise Yourself with the Tech Stack
If you have experience with S3, Snowflake, Airflow, Python, or DBT, be ready to discuss it! Even if you don’t have direct experience, showing a willingness to learn and adapt to their tech stack can set you apart.
✨Prepare for Collaboration Questions
Since you'll be working closely with product and business stakeholders, think about examples from your past where you successfully collaborated on projects. Be ready to discuss how you defined success metrics and built meaningful product metrics.
✨Show Ownership and Accountability
This company values ownership and accountability, so come prepared with examples of projects you've taken from scoping to delivery. Highlight how you’ve worked autonomously and what impact your work had on the team or project outcomes.