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September 21, 2026

Data Engineer (Big Data)

Mid • On-site

Prague, Czechia

Quick Facts

  • Role: Data Engineer focused on Big Data

  • Team environment: collaborative, small project teams; mentorship for less senior engineers; growth opportunities for seniors

Description

You will design and implement end-to-end data solutions for clients, covering data quality, data modeling, and automation of data processes.

The work includes building Spark-based transformations and integrations, prototyping and delivering PoCs/MVPs, and taking production solutions through analysis, coding, and deployment.

You will also optimize performance and scaling for large data volumes with a DevOps mindset.

Responsibilities

  • Design and implement end-to-end data solutions (data quality, data models, process automation)

  • Collaborate with clients and colleagues on project delivery

  • Work with modern Big Data technologies including Databricks, Snowflake, Spark, MS Fabric, Kafka, and Airflow

  • Build data transformations and integrations in Spark

  • Prototype applications/solutions and choose suitable technologies

  • Turn PoCs/MVPs into production-grade implementations

  • Optimize performance and scale systems for large data volumes

  • Participate in DevOps-style deployment and management of your code

Requirements

  • Knowledge of SQL and RDBMS

  • Experience developing and testing with Python or Scale

  • Interest in learning and working in a varied technical environment

  • Team-oriented mindset and willingness to share knowledge

  • Communicative profile and good English level

  • Ability to work independently and reason about problems

Benefits

  • Mentorship and gradual growth for less senior engineers; career progression for senior engineers

  • Training, workshops, internal talks, and community events (e.g., Databricks user groups)

  • Support for certifications and professional development (Udemy, DataCamp, A Cloud Guru, O’Reilly)

  • Flexible work hours and home office by agreement

  • 25 vacation days with an additional day each year

  • Cafeteria contribution, meal support, and partner discounts

  • Wellness support (FIT Adastra) and extra paid leave for volunteer activities

  • Sabbatical option after 3 years

  • Referral program

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