Analytics Engineering
London
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingDefine and build product metrics with product and business stakeholders
Build data models, dashboards and reports for self-serve analysis
Improve cloud architecture for cost reduction and speed
Own projects from scoping through delivery and adoption
From the employer’s posting
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 (cloudbased and always evolving) based on what brings the most impact to cost reduction and speed
Taking ownership of projects from scoping to delivery and adoption, working autonomously
What you’ll bring
All qualificationsCore experience
- At least 5 years of engineering experience with an analytical mindset
- Solid understanding of architectures, design principles and engineering best practices
- Experience across the data pipeline: ingestion, transformations, mart creation
Preferred experience
- Experience with S3, Snowflake, Airflow, Python and DBT
Qualification wording
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
Tools in this posting
- Python
- dbt
- S3
- Snowflake
- Airflow
Source — Tool mentions in context
- 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
Posting record
Report an errorOpen 6 monthsWe first saw this posting 199 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Apr 15, 2026 · 199 days ago
- Recorded sightings
- 155
- Last seen by us
- Oct 31, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the pay range before committing time to the process.
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Job description
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 (cloudbased 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.
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.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
London
Working pattern and location restrictions need checking in the full posting.
- Work authorization
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
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