Data Engineer

About us

We are a technology company focused on data analytics and AI. We build data-driven applications for corporations and startups around the world. Our expertise spans advanced data analysis, machine learning, cloud computing, artificial intelligence, and application development. Founded in 2016, we’ve grown to over 50 people—and we’re still expanding. What connects us is drive, curiosity, and a genuine love for data. 💜

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Who we’re looking for‍

You’ll join a small, skilled team and collaborate with data engineers, data scientists, and developers on complex data projects.
You’ll design and build data solutions, develop in Spark, and primarily code in Python.
You’ll take part in deploying, managing, and orchestrating ML models.
You’ll work in cloud environments—Azure and GCP—and on modern Data Lake platforms.
You’ll get to work on both short-term pilot projects and long-term stable engagements—depending on your preference.

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What we expect from you

Experience in developing data applications, ideally in Python
Experience with Spark and Databricks
Knowledge of RDBMS and SQL
Basic knowledge of Azure/GCP/AWS
Basic knowledge of Linux and version control tools (Git)
English at least at B2 level

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Nice to have

Experience with data SaaS tools (e.g. Databricks, ADF, Azure Fabric, Synapse, Dataproc, Dataflow)
Familiarity with CI/CD and DevOps tools (Azure DevOps, Terraform, GitHub Actions, Jenkins, etc.)
Docker, Kubernetes, or OpenShift
Apache Spark
Stream data processing tools (Spark Streaming, Flink, Beam, Kafka)
NoSQL databases (CosmosDB, MongoDB, or similar)

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What we offer in return

Hybrid work model, offices in Prague on Wenceslas Square
Work on high-impact projects with real global reach
Office refreshments, great coffee, Multisport card, company physiotherapy, and other benefits