You will design, build, and maintain scalable and efficient data pipelines and solutions that support data-driven decision-making. You’ll work closely with cross-functional teams including Data Scientists, Architects, and Software Engineers to create reliable, secure, and high-performing systems.

• Design, develop, and optimize scalable data pipelines and ETL/ELT processes
• Work with structured and unstructured data from various sources
• Collaborate with Data Scientists, Software Engineers, and Business Analysts to meet data requirements
• Implement data quality, data validation, and monitoring practices
• Participate in architecture and design discussions to build cloud-native data platforms
• Maintain and optimize data storage solutions (data lakes, data warehouses)
• Ensure the security, integrity, and availability of data
• Support the deployment of machine learning models into production
• Continuously improve performance, reliability, and scalability of our data systems

• 3+ years in Data Engineering role
• Strong understanding of data modeling, data warehousing, and ETL/ELT processes
• Solid programming skills in Python
• Knowledge of Data warehousing tools: Snowflake, Redshift
• Strong knowledge of SQL and database optimization
• Experience in building and maintaining data pipelines using Fivetran, Matillion, dbt
• Experience with AWS tools (S3, Lambda, Kinesis, Batch, DynamoDB, Athena, Glue, etc.)
• Ability to work with large volumes of data efficiently
• Understanding best practices for data security and governance
• Familiarity with Agile methodologies and working in cross-functional teams
• Strong analytical thinking, problem-solving skills, and attention to detail are important
• Excellent communication and teamwork skills
• Strong verbal and written English communication skills

• Experience with data processing tools: Spark (Databricks), Kafka
• Knowledge of MS SQL (SSIS, SSAS), PostgreSQL, MySQL
• Intention to learn Power BI for data visualization

This is a hybrid position, so we expect candidates to visit an office in one of our five locations (Warsaw, Wrocław, Łódź, Gdańsk, Białystok) at least once a week.