Data Engineer, KATOWICE

  • Bachelor’s or master’s degree in Computer Science, Engineering, IT, or a related field.
  • 3+ years of professional experience as a Data Engineer.
  • Programming skills in Python, Java or Scala.
  • Experience with Spark and big-data frameworks.
  • Strong SQL and data modeling skills.
  • Experience with cloud platforms (preferably AWS).
  • Fluent communication skills in English and Polish.
  • Openness to hybrid work and regular visits in Katowice office, once per month.
  • Willingness to travel to the client’s office in Lisbon.


    Nice to have:
  • Knowledge of Databricks would be a huge plus.

About Data Reply

As part of the Reply group, Data Reply offers a wide range of services that support customers in becoming data driven. We operate in various industries and business areas and work intensively with our customers so that they can achieve meaningful results through the effective use of data. Data Reply offers many years of experience in transformation projects to achieve “data-driven companies”. We focus on the development of data platforms, machine learning solutions and streaming applications - automated, efficient, and scalable - without making any compromises in IT security.

Benefits:

  • Motivizer Benefits Platform to choose and manage all your benefits in one place. You receive a budget (550 PLN monthly). You can choose medical care package, meal tickets, sports cards (we have Multisport and on preferential terms, we have membership cards to one of the most popular Gyms), cinema tickets, shop vouchers, discounts and many more.
  • Language Courses – you'll have access to a multi-language learning platform enabling you to practice you language skills and learn new ones!
  • Regular and systematic further training opportunities - both internally and from external providers. We support your ongoing learning and development.
  • Cooperation within an internal community is our everyday reality. We have networking events, coding challenges, and company parties for different occasions.

,[As a Data Engineer, you will design, build, and operate scalable data platforms and pipelines supporting analytics and machine learning use cases. You will transform raw data into reliable, high-quality data products and contribute to architectural and platform-level decisions., , Design and implement batch and streaming data pipelines., Integrate data from databases, APIs, and event streams., Build and maintain ETL/ELT processes., Ensure data quality, reliability, and performance. , Collaborate with data scientists and analysts., Support deployment and operation of data solutions.] Requirements: Python, Java, Scala, Spark, AWS Tools: . Additionally: Sport subscription, Training budget, Private healthcare, Flat structure, Lunch card, Small teams, International projects, Free coffee, Bike parking, Playroom, Free beverages, Mobile phone, In-house trainings, Modern office, Startup atmosphere, No dress code.
Data publikacji: 2026-07-07
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