Must have

• Data engineering

• Python

• SQL

• ETL

• Apache Airflow

• Data modeling

• Snowflake

• AWS S3

• AWS Lambda

• Spark

• Data warehouse

• Agile

• Communication skills

• English (B2)

Nice to have

• Azure

• Data visualization

Requirements description

Ideally you have:

• 3+ years in Data Engineering role
• Solid Python programming skills for building and maintaining data pipelines
• Advanced SQL skills, including query optimization and performance tuning
• Experience with ETL/ELT tools and data orchestration frameworks like Apache Airflow, dbt
• Strong understanding of data modeling principles (dimensional modeling, star/snowflake schemas, normalization/denormalization)
• Hands-on experience in data warehousing (Snowflake, Redshift)
• Experience with AWS (S3, Lambda, Kinesis, Batch, DynamoDB, Athena, Glue, etc.)
• Experience with data processing tools: Spark (Databricks), Kafka
• Understanding of data governance, lineage, and security best practices
• Familiarity with Agile methodologies and working in cross-functional teams
• Strong analytical thinking, problem-solving skills, and attention to detail
• Excellent communication and teamwork skills
• Strong verbal and written English communication skills

Nice to have:

• Data Visualization: PowerBI or other data visualization tools
• Cloud Platforms: Azure, MS Fabric

Offer description

Job overview

At Godel Technologies, we are passionate about building innovative software solutions that empower businesses around the world. As we continue to grow, we’re looking for a Data Engineer who is excited about designing robust data models, building reliable data pipelines, and shaping modern data platforms in the cloud.   If you love solving complex data challenges, designing clean data architectures, and ensuring data is ready for analytics and machine learning — we’d love to hear from you!   As a Data Engineer, you’ll work in a collaborative, agile environment. You’ll take ownership of designing and implementing data models, data warehouses, and scalable pipelines that enable data-driven decision-making.   You’ll work closely with Data Architects, Data Scientists, and Software Engineers to ensure that data is well-structured, accurate, secure, and accessible for business and analytical needs.   We expect candidates to be located in one of the following cities: Warsaw, Wroclaw, Lodz, Gdansk or Bialystok.

Ranges

EC 10 000 - 22 000 PLN gross / month

B2B 80 - 145 PLN / hour

Your responsibilities

1. Building and optimizing data pipelines and ETL/ELT processes using modern orchestration tools
2. Working with structured and semi-structured data from multiple sources
3. Designing and developing scalable data models, data marts, and data warehouses that support analytics and reporting
4. Ensuring data quality, lineage, and governance are implemented and maintained
5. Managing and optimizing data storage solutions (data lakes, data warehouses)
6. Continuously improving performance, reliability, and scalability of data solutions