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Data Engineer @ Link Group
  • Warsaw
Data Engineer @ Link Group
Warszawa, Warsaw, Masovian Voivodeship, Polska
Link Group
6. 2. 2025
Informacje o stanowisku

We are looking for a Data Engineer with a strong background in analytics to join our expanding team. In this role, you will take the lead in developing a solid data foundation that drives data-driven strategies and unlocks the full potential of investment data. You will play a key role in optimizing data pipelines, enhancing data integration, and supporting strategic decision-making with robust analytics capabilities.


Required Skills & Experience

  • A solid technical background in data and analytics engineering.
  • Proven experience in building and managing data pipelines and models using tools such as dbt, Fivetran, and Snowflake.
  • A strong understanding of data governance, privacy, and compliance best practices.
  • Excellent collaboration skills to work seamlessly with colleagues across different regions, time zones, and functions.
  • A proactive mindset with the ability to work independently and drive projects forward.

We are looking for a Data Engineer with a strong background in analytics to join our expanding team. In this role, you will take the lead in developing a solid data foundation that drives data-driven strategies and unlocks the full potential of investment data. You will play a key role in optimizing data pipelines, enhancing data integration, and supporting strategic decision-making with robust analytics capabilities.

,[Develop and maintain data models using tools like dbt to ensure data is structured and ready for analysis., Design and implement reliable data pipelines to ingest, clean, and process investment-related data from diverse sources., Connect and integrate data sources using Fivetran, ensuring smooth data flow into our Snowflake data warehouse., Implement data governance policies and manage access controls to safeguard sensitive investment data., Work closely with local and international colleagues to align data engineering efforts across different business lines., Build and maintain frameworks for data validation and testing to guarantee data quality., Automate infrastructure management using Terraform for scalable and reliable data systems., Use Git for version control to track changes in data pipelines, models, and infrastructure effectively. Requirements: dbt, Fivetran, Snowflake, Data governance Tools: Agile, Scrum.

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