Data Engineer

Informacje o ofercie
  • Type of Employment: B2B or COW
  • Identyfikator oferty: PL2683
  • Kategoria: Software Developer
  • Place: Gdynia, Poland
  • Minimal level of education: Other
  • Minimalne doświadczenie: Between 2 and 5 years


Are you a fan of Python and Big Data?

If so, you will be interested in our new project. We are looking for candidates who will create digital transformations with us, passionate about building analytical solutions, applications, and tools. They will combine a good understanding of the system as a whole, with in-depth knowledge and experience with key components and tools. As our analytics programmer, you'll join a team that runs complex projects, transforming existing and developing new services based on Big Data platform.


• Design, develop, operate and support solutions and applications deployed using Azure analytics tools (e.g. Azure SQL, Databricks / Spark, Data Factory, Data Warehouse, Cosmos DB, Azure Functions)
• Develop, operate and document data ingest pipelines, visualization applications, data governance, data catalogues
• Develop data transformations and analyze data using Python, Scala, C#, SQL, enhance and tune a Modern Data Warehouse and Data Lake in Microsoft Azure
• Optimize code written for Spark


• 3+ years in software development, system integration, data warehousing or similar
Expertise in some of data querying and processing languages and frameworks such as Python, SQL, R, Scala, DAX
• Understanding of architecture and performance tuning in areas such as: Relational Data Warehouse databases Massively Parallel Processing databases
• Apache Spark familiarity

Nice to have:

• Solid English communication skills, both written and spoken
• Coding in one or more object-oriented languages (C# or Java would be preferred)
• Experience with one of the following areas will be an advantage: ETL tools; Microsoft Azure and Microsoft Power BI


• Contract of work or B2B
• Attractive salary referring to your skills and experience
• B2B cooperation with 23 paid days of undelivered service
• Company social events
• Private medical healthcare
• MultiSport Card
• Flexible working hours
• Access to e-learning platform


Negotiable depending on candidate's seniority