Data Engineer @ Devire

1 week ago


Gdańsk Gdynia, Czech Republic Devire Full time

Must have:

  • At least 4 years of hands-on experience with Spark and Python.
  • Proficient in Spark SQL or Hive SQL with a minimum of 4 years of experience.
  • 3+ years working with Hadoop/Hive ecosystem or other Big Data technologies.
  • Background in designing data flows, including ETL and ELT processes.
  • Skilled in using BitBucket and GIT, including version control and branching practices.
  • Knowledgeable in Agile/SAFe methodologies.

Additional Advantages:

  • Experience with cloud platforms (AWS, GCP, or Azure) is a strong asset.
  • Foundational understanding of machine learning models, including building, validating, and maintaining regression models, is beneficial.


Devire IT Outsourcing is a form of cooperation dedicated to IT professionals, based on the principles of own business - B2B, implementing projects for clients running innovative and modern projects.

Our client is a global banking company that focuses on individual and corporate clients. Due to the growing demands within the organization, we are looking for candidates for the Data Engineer position.

work model: Gdańsk or Gdynia, 4:1 (one day a week from the office)

salary: 130-155 PLN/h

  • Attractive salary up to 155 PLN/h netto
  • Additional benefits package (medical healthcare, sports membership, etc.)
  • Possibility to cooperate with an international company with a stable market position
  • Long-term cooperation
  • Flexible working hours, Polish time zone
,[Utilize Spark and Python to design, develop, and manage data ingestion and transformation processes., Build large-scale, distributed data processing pipelines capable of handling massive volumes of both structured and unstructured data in near real-time., Apply Spark to enrich and transform corporate data, facilitating search, visualization, and advanced analytics., Collaborate closely with analysts and business stakeholders to create and refine analytics models., Work alongside Data Scientists and Machine Learning specialists to support model development and deployment., Regularly update progress in PI Demo sessions with thorough status reports.] Requirements: Spark, Python, Spark SQL, Hive, Hadoop, ETL, ELT, Bitbucket, Git, Agile, SAFe, Cloud platform, AWS, GCP, Azure, Machine Learning, ML

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