Senior Data Engineer

Quick Facts

• Role: Senior Data Engineer

• Focus: Financial Recovery Data Management (data models and pipelines)

• Work style: Hybrid (2/3 days per week from the office)

Description

You will help translate business needs into robust, scalable data models and resilient data pipelines for a financial project. The role covers end-to-end ownership, from requirements through implementation, testing, and production deployment. You will build and optimize data solutions using SQL, Python, Snowflake, dbt, and Airflow, including enterprise API integrations.

Responsibilities

• Gather and analyze business requirements and translate them into scalable data solutions

• Design, develop, and maintain data models and resilient data pipelines

• Deliver end-to-end: requirements, implementation, testing, and production deployment

• Build and optimize data solutions using SQL, Python, Snowflake, dbt, and Airflow

• Integrate data from enterprise APIs and other data sources

• Drive automation and modern engineering practices (CI/CD, automated testing)

• Ensure long-term maintainability, stability, and reliability of delivered solutions

Requirements

• Minimum 4 years of experience in Data Engineering and Data Warehousing

• Strong hands-on experience with SQL and Python

• Proven experience with Snowflake, dbt, and Airflow

• Strong data modelling skills and experience designing scalable, resilient data pipelines

• Experience with API integrations and modern data architectures

• Solid software engineering practices, including Git, CI/CD, automated testing, and DevOps

• Ability to work independently and take ownership of end-to-end deliveries

Benefits

• Flexible work organization

• International work environment with daily English exposure

• Scandinavian culture supporting work-life balance and training time (financed)

• Integration meetings through the community