Data Engineer

10000-22000 PLN miesięcznie (Umowa o pracę)

Godel Technologies Europe

Czym będziesz się zajmować?

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.

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

Kogo poszukujemy?

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

Czego wymagamy?

Znajomości:
Języki:
  • Angielski
  • Polski (mile widziane)

Jakie warunki i benefity otrzymasz?

  • 10000-22000 PLN miesięcznie (Umowa o pracę)
  • Umowa o pracę - Elastyczne godziny pracy (100%)
  • 80-145 PLN godzinowo (B2B)
  • B2B - Elastyczne godziny pracy (100%)
  • Praca zdalna: Hybrydowo
  • Budżet szkoleniowy, Szkolenia wewnętrzne, Klasy językowe
  • Pakiet medyczny, Ubezpieczenie, Pakiet sportowy
  • Kawa / Herbata, Zimne napoje
  • Parking rowerowy

Gdzie będziesz pracował?

Chrzanowskiego 11, Gdańsk lub hybrydowo

Kim jesteśmy?

Godel Technologies stands as a leading, next-generation technology partner, distinguished by its unique agile delivery approach and an unparalleled pool of software engineering talent across Europe. At Godel, we actively address the software engineering skills challenges prevalent among UK-based companies. Renowned as one of the UK's most respected technology companies, our commitment to excellence has been recognized through various accolades in the past year. In the last twelve months alone, Godel Technologies has secured prestigious awards, including: Winner, in collaboration with comparethemarket.com, of the Real IT Awards 2019 for "Partnership of the Year" and "Agile Project of the Year." Winner, partnering with Virgin Holidays, at the Computing.co.uk DevOps Excellence Awards 2018 for "Best Use of Agile." Winner, alongside OEConnection, of the 2017 European Software Testing Awards for "Best Retail Testing Project." Consistent recognition in the Sunday Times Tech Track 100 for the years 2017, 2018, 2019