Senior Data Engineer (Snowflake, Airflow)

Sigmoidal is one of the first AI companies in Poland, founded in 2016, with a team experienced in Silicon Valley and companies like Mozilla, BCG, Jane Street, McKinsey, Google, PwC, Capgemini, and Kraken. They operate in a remote-first model building AI systems supporting asset management worth over $200B.

• 6+ years of experience as a Data Engineer.
• Strong knowledge of Snowflake, including architecture design and data modeling for large production environments.
• Experience with Data Lakes and understanding of scaling challenges; experience with migrations or Data Mesh architecture is a plus.
• Practical experience with Airflow and DBT.
• Proficient in SQL and Python for data processing and transformation.
• Experience preparing data from various sources for analytics and AI models.
• Understanding of Data Governance concepts and experience with tools like Atlan or Monte Carlo.
• Ability to prepare dashboards and analyze data using Tableau or Snowflake.
• Quality-focused with good collaboration and communication skills.
• Fluent in English for technical and business communication.

• Design and develop scalable Data Engineering solutions for data collection, processing, and sharing.
• Influence architecture and data quality of analytical environments used by business and AI teams.
• Build and develop efficient ETL/ELT processes using Airflow and DBT.
• Prepare dashboards and analyze data using Tableau or Snowflake native capabilities.
• Collaborate with other engineers and communicate with business stakeholders.

The data controller is Sigmoidal sp. z o.o. based in Wrocław. Personal data is processed for recruitment purposes with rights to access, rectify, delete, restrict processing, object, data portability, and complaint. Providing data required by labor law is mandatory; other data is voluntary. Consent can be withdrawn anytime.