Data Engineer

Warsaw/Bydgoszcz/Cracow/Remote

We are looking for a Data Engineer to help with development of data ingestion and processing pipelines in complex systems. You will work alongside Software Engineers, Data Scientists and Data Analysts to create and expand data-driven solutions for various industries.
You will have an opportunity to work with many different data engineering tools, and Cloud environments – AWS, GCP, and Azure. We will support you to gain knowledge based on internal and external courses.

You will be responsible for:

  • designing and implementing data pipelines that provide data quality and efficiency using a variety of state-of-the-art technologies in both cloud and on-prem environments,
  • ​​working with a multitude of data sources including: customer and transactional data, user-generated content, ratings, analytics, logs, graph data, images and video,
  • moving data pipelines into production and monitoring their performance,
  • translating business specifications into design specifications and code.

Successful applicant will excel at:

  • Python,
  • SQL,
  • Cloud technologies (GCP and/or AWS, especially BigQuery, Redshift, Snowflake),
  • Docker,
  • Data streaming solutions (Airflow / Nifi / Kafka).

We also welcome:

  • Graph Database knowledge (e.g Neo4j),
  • Understanding high-level machine learning concepts,
  • Experience with Kubernetes and CI/CD tools.

We offer:

  • Remote work-first working culture with a possibility to work from our offices in Warsaw and Bydgoszcz,
  • An opportunity to participate in Tech Talks (internal training and seminar sessions),
  • Budget for external training,
  • Flexible working hours,
  • An attractive benefits package.
Apply

deepsense.ai helps companies discover the potential of their data and use it to build competitive advantage in the most effective way.

Our support covers all stages of the AI journey, from a feasibility study through to end‐to‐end AI solution development, deployment and maintenance. We follow methodology developed on the basis of research and commercial projects delivered for clients such as NTT, Nielsen, L’Oreal, Google and Intel.

Some of our benefits

Medical package
Multisport cards
Flexible working hours
Lunch provided
Onsite english lessons
Kitchens stocked with fruit and veggies twice a week
Theatre discount
Monthly integration budget
Company library
Funroom
deepschool - internal training sessions
Holiday celebration