At a Glance
- 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 diverse backgrounds and excellent career growth opportunities.
- 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.
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).
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: STARTmunich e.V
Contact Detail:
STARTmunich e.V 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, understand their mission, and align your skills with what they’re looking for. Show them why you’re the perfect fit for their team.
✨Tip Number 4
Apply through our website for the best chance of landing that dream job! We love seeing candidates who are genuinely interested in joining us and who take the time to engage with our platform.
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 and any relevant tech stack you've worked with, like S3 or Python.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about empowering others through financial systems. Share specific examples of how you've taken ownership in past projects and the impact it had.
Showcase Your Analytical Mindset: In your application, emphasise your analytical mindset and problem-solving skills. We want to see how you approach challenges and what innovative solutions you've implemented in your previous roles.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any updates from us!
How to prepare for a job interview at STARTmunich e.V
✨Know Your Tech Stack
Familiarise yourself with the technologies mentioned in the job description, like S3, Snowflake, Airflow, Python, and DBT. Be ready to discuss how you've used these tools in your previous roles and how they can be applied to the position at Trade Republic.
✨Showcase Your Analytical Mindset
Prepare examples that demonstrate your analytical skills and how you've approached data challenges in the past. Think about specific projects where you ingested, transformed, or created data products, and be ready to explain your thought process and the impact of your work.
✨Understand the Business Impact
Research Trade Republic's mission and values, especially their focus on empowering customers and closing the pension gap. Be prepared to discuss how your role as an Analytics Engineer can contribute to these goals and improve the overall customer experience.
✨Prepare for Ownership Questions
Since the company values ownership and accountability, think of instances where you've taken charge of a project from start to finish. Be ready to share how you scoped, delivered, and ensured adoption of your work, highlighting any challenges you overcame along the way.