Middle/Senior Data Engineer

Job overviewAt Godel Technologies, we are passionate about building innovative software solutions that empower businesses around the world. We are growing and looking for a talented Data Engineer with strong Snowflake expertise to join our team. If you are interested in working with modern data technologies, solving complex problems, and making an impact — we want to hear from you! As a Data Engineer, you will be part of a collaborative and agile environment where your ideas matter. 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. 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.Responsibilities 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 RequirementsIdeally you have: 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 Nice to have: Experience with data processing tools: Spark (Databricks), Kafka Knowledge of MS SQL (SSIS, SSAS), PostgreSQL, MySQL Intention to learn Power BI for data visualization