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Analytics Engineering

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Work setting
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Employment
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Before you apply

Work authorization
Sponsors visas

What you’ll work on

Full posting
  • Define 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 qualifications

Core 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
Apply at Trade Republic

Posting record

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Open 6 monthsWe first saw this posting 203 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, 2026203 days ago
Recorded sightings
158
Last seen by us
Nov 3, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 203

Up longer than most. Similar jobs usually come down between day 6 and day 47.

From 1,405 similar postings that came down. Coming down is not always a hire.

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • dbt
  • S3
  • Snowflake
  • Airflow
Where the posting names them
- 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

Your next step

Complete your application on traderepublic.com. The employer’s form will show what is required.

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About the role

We file this job under Analytics Engineer, by the work the posting describes.

Analytics engineers turn raw warehouse data into clean, tested and documented tables that analysts and dashboards can rely on, often with dbt.

Expect strong SQL, data modeling, Git, and a warehouse such as Snowflake, BigQuery or Redshift.

A data engineer gets data into the warehouse; an analytics engineer shapes it once it is there and works closer to the analysts who use it.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

The government has no code for analytics engineers, so these figures are for the closest group, database architects, the same group we use for data engineers.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

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

View original posting ↗

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Location & working pattern

London

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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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