🐍 Data Engineer

  • CZK 44–100K
  • Remote, On-site, Hybrid
  • Prague + 1 more
  • Part-time, Full-time
  • Updated at 19. 05. 2025

Do you enjoy solving data challenges using Python or SQL? Are you passionate about modern open-source tech and working in cloud environments? If you're eager to collaborate with experienced professionals and build impactful data solutions, we’d love to hear from you.

🟠 What You’ll Do
As a Data Engineer at DataSentics, you'll play a key role in transforming raw data into valuable insights. You’ll design and optimize data pipelines, tackle complex data problems, and help build scalable, production-grade data systems. Think of it as turning raw materials into something powerful—except your tools are code, cloud, and AI.

🟠 Why Join Us?
We’re a fast-growing team of data scientists, engineers, and consultants working on high-impact AI projects across industries. We combine deep technical skills with a practical, product-focused mindset.

  • How we work: Small, focused teams (2–5 people), agile workflows, and strong collaboration between engineers, analysts, scientists, and PMs.
  • Remote-first culture: Work where you're the most productive, at home, in the office, or a mix of both. We're remote-first, with optional office spaces in Prague (near Muzeum metro) and Brno (ImpactHub) available whenever you need them.
  • Flexible working: We offer full-time or part-time roles (available starting at 30 hours/week).

🟠 Our Projects & Technology Stack

  • We work on real-world challenges across diverse industries like banking, insurance, manufacturing, pharmaceuticals, and e-commerce, using a wide range of customer data sources, including call center logs, customer segmentation data, IoT sensors, and web analytics. These are just a few examples, the scope of our work is broad and constantly evolving as new data and technologies emerge.
  • Tech we love: Python, SQL, Pandas, PySpark, Databricks. We deploy on Azure, AWS and Google Cloud Platform.

🟠 What We’re Looking For

  • Proficiency in Python and SQL.
  • Experience working with cloud platforms (Azure, AWS or GCP) is an advantage.
  • Interest in building and maintaining data pipelines and working with large datasets.
  • A collaborative mindset and a desire to learn from and contribute to a skilled team.

🟠 What You’ll Get

  • The chance to work on exciting, AI-powered solutions that make a real difference.
  • A collaborative environment where learning and professional growth are a priority.
  • Flexibility, remote work options, and a supportive team culture.

Ready to build data solutions that matter? Join us at DataSentics and be part of shaping the future of AI and data engineering.


On behalf of the entire team, VaĹĄek

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