Analytics Engineering (London)

Trade Republic

Greater London

On-site

GBP 60,000 - 80,000

Full time

14 days+

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Job summary

A prominent savings platform in London is seeking an experienced data engineer with a strong analytical mindset. In this role, you will ingest, model, and publish data, collaborating closely with product stakeholders. The ideal candidate has a minimum of 5 years of engineering experience and a solid understanding of data pipelining, architectures, and software best practices. The company supports relocation and offers a rewarding culture focused on ownership and accountability.

Qualifications

  • 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.

Responsibilities

  • Join a product delivery team and be responsible for ingesting and modeling data.
  • Design and maintain data products, collaborate on success metrics.
  • Improve cloud-based architecture to reduce costs and increase speed.
  • Take ownership of projects from scoping to delivery.

Skills

Analytical mindset
Engineering experience
Understanding of architectures
Software engineering best practices

Tools

S3
Snowflake
Airflow
Python
DBT

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.

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