Analytics Engineer: Data Pipelines & Dashboards

Trade Republic; London; On-site; NOK 888,000 - 1,269,000; Full time

Job summary

Trade Republic, Europe’s leading savings platform, invites applications for a London-based data engineering role. You will ingest, model, and publish data to scale the business, design dashboards and tooling for self-serve insights, and work with a self-service analytics platform.

Relocation and visa support are provided for eligible candidates. Join a team delivering cloud-based architecture with a focus on cost reduction, speed, and best practices.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Analytical mindset

Engineering experience

Data pipeline

Cloud architecture

Tools

S3

Snowflake

Airflow

Python

DBT

Job description

Trade Republic, Europe’s leading savings platform, invites applications for a London-based data engineering role. You will ingest, model, and publish data to scale the business, design dashboards and tooling for self-serve insights, and work with a self-service analytics platform.

Relocation and visa support are provided for eligible candidates. Join a team delivering cloud-based architecture with a focus on cost reduction, speed, and best practices.