Mid/Senior Data Engineer (Snowflake) @ Godel Technologies Europe
(práce v Polsku)

Mid/Senior Data Engineer (Snowflake) @ Godel Technologies Europe

Polsko

Required skills & qualifications:

• At least 1 year of production experience with Snowflake
• Strong understanding of data modeling (Data Vault), data warehousing (Redshift), and ETL/ELT tools (Apache Airflow, dbt)
• Solid programming skills in Python (at least 2 years for Middle, and 4 years for Senior)
• Strong knowledge of SQL and database optimization
• Experience in cloud platforms: AWS (S3, Lambda, Kinesis, Batch, DynamoDB, Athena, Glue, etc.)
• Ability to work with large volumes of data efficiently
• 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
• Upper-intermediate English or above

Nice to have:

• Data Processing: Spark (Databricks), Kafka
• Databases: MS SQL (SSIS, SSAS), PostgreSQL, MySQL
• Data Visualization: PowerBI

At 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.

Please note that this role is only open to candidates based in Warsaw, Wroclaw, Lodz, Gdansk or Bialystok.

Salary ranges

B2B
Mid: 80-115 zł/hr 

Senior: 100-145 zł/hr 

Employment Contract
Mid: 10-17k

Senior: 15-22k

,[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.] Requirements: Python, Snowflake, dbt, AWS, Git, Terraform, Spark, SSIS, SSAS, Power BI Tools: . Additionally: Sport subscription, Training budget, Private healthcare, Language classes, International team, Innovative projects, Certificates, Integration events, Flat structure, International projects, Free coffee, Bike parking, Playroom, In-house trainings, Modern office, No dress code, Free beverages.

Kategorie

data

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