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Streaming Data Engineer

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Hybrid

Streaming Data Engineer

Reply

Streaming Data Engineer

Skills

Google Cloud PlatformSQL QueriesPythonJavaKafkaSnowflakeDatabricksData AnalysisMachine LearningAWSdbtAzure

1 month ago

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Important information


Contract type:

Permanent

Location:

Katowice, Poland

Work mode:

Hybrid

Published on:

24 September 2026

What they need


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.

Responsibilities

  • 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.

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.

Qualifications

  • Educational Background: 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 or Java.
  • Experience with data batch or streaming processing frameworks: e.g. Spark, Databricks, Kafka.
  • SQL and data modelling skills; Snowflake and dbt experience is a plus.
  • Experience with cloud platforms (AWS, Azure, GCP).
  • Fluent communication skills in English and Polish.
  • Openness to hybrid work and regular visits to the Katowice office, once per month.

Develop yourself and the digital future – at Reply!

Reply specialises in designing and implementing solutions based on new communication channels and digital media. Structured as a network of highly specialised companies, Reply supports leading European industrial groups in sectors such as Telco & Media, Industry and Services, Banking and Insurance, and Public Administration, helping define and develop business models enabled by new paradigms such as AI, Cloud Computing, Digital Media, and the Internet of Things. Reply’s services include Consulting, System Integration, and Digital Services.

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