Department/project description:

 Insights & Data practice delivers cutting-edge data centric solutions. Most of our projects are Cloud & Big Data engineering. We develop solutions to process large, also unstructured, datasets, with dedicated Cloud Data services on AWS, Azure or GCP. We are responsible for full SDLC of the solution: apart from using data processing tools (e.g., ETL), we code a lot in Python, Scala or Java and use DevOps tools and best practices. The data is either exposed to downstream systems via API, outbound interfaces or visualized on reports and dashboards. Within our AI CoE we deliver Data Science and Machine Learning projects with focus on NLP, Anomaly Detection and Computer Vision.

Additionally, we are exploring the area of Quantum Computing, searching for practical growth opportunities for both us and our clients.

Currently, over 250 of our Data Architects, Engineers and Scientists work on exciting projects for over 30 clients from different sectors (Financial Services, Logistics, Automotive, Telco and others)

Come on Board! :)

Your daily tasks:

  • design and development of applications to process data both in batches and in real time (streaming),
  • processing large datasets using Cloud/Big Data technologies,
  • implementing Data Science/AI/ML solutions,
  • building advanced Cl/CD pipelines in public clouds such as AWS, Azure, GCP.

Frequently used technologies:

  • Python
  • Cloud Data Services: AWS / Azure / GCP
  • SQL
  • Spark

Our expectation:

  • at least 3 years of commercial experience in Python programming (or Scala and you are willing to learn Python) in projects related to data processing,
  • being open to learn new technologies and to cooperate with specialists in various fields,
  • good command of English,
  • experience in Cloud- Azure, AWS, Google Cloud will be an advantage.