Keyrus
Keyrus
Keyrus is an international data and consulting company that helps organizations turn data into insight and informed action. Its work spans data analytics, data advisory, and data management, with vendor-independent approaches tailored to different business needs. Operating across 18 countries, Keyrus brings together teams focused on analytical expertise, collaboration, and practical innovation. Employees can continue developing their skills through the company’s KLX learning platform while contributing to projects shaped by an open, inclusive, and transparent workplace culture.

Junior Data Engineer – Snowflake

Junior Data Engineer at Keyrus, working remotely with Snowflake, SQL, and cloud data platform solutions.

Description

  • Contribute as a Junior Data Engineer on projects linking technology, data, and business needs.
  • Use Snowflake and related data technologies in project work.
  • Help develop, improve, and support data solutions.
  • Contribute to Cloud Data Platform initiatives.
  • Build and maintain data solutions serving varied business contexts.
  • Handle process documentation, testing, and data quality validation activities.
  • Investigate technical issues and work toward practical solutions.
  • Share knowledge and collaborate with specialists across functions and regions.

Requirements

  • Completed or current higher education in technology, computer science, engineering, information systems, statistics, mathematics, or a related discipline.
  • Working knowledge of SQL.
  • Knowledge of Snowflake or initial hands-on experience with the platform.
  • Basic understanding of data warehouses, data lakes, and cloud computing.
  • Familiarity with ETL and ELT processes.
  • Basic understanding of data modeling.
  • Interest in developing and supporting data solutions.
  • Basic knowledge of data testing and validation.
  • Academic or professional Snowflake experience is an advantage.
  • Python knowledge is an advantage.
  • Experience with AWS, Azure, or Google Cloud Platform is an advantage.
  • Knowledge of dbt is an advantage.
  • Experience with business intelligence tools is an advantage.
  • Experience with data pipeline orchestration tools is an advantage.
  • English proficiency for reading technical documentation is an advantage.
  • Ability to apply new learning to practical solutions.
  • Curiosity about emerging technologies and different business contexts.
  • Strong organization when managing data, processes, and documentation.
  • Careful attention to data validation and quality work.
  • Clear communication and willingness to exchange knowledge.
  • Proactive approach to diagnosing issues and finding solutions.
  • Commitment to reliable, high-quality deliverables.
  • Genuine interest in developing a career in data.

Benefits

  • Work in a collaborative environment.
  • Build practical experience with cloud data platforms.
  • Contribute to the development, improvement, and support of data solutions.
  • Gain exposure to projects and specialists across industries, markets, and regions.
  • Join a culture centered on collaboration, diversity, and multiculturalism.
  • Continue developing professional skills and technical expertise.

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