Data Engineer B2B

Responsibilities 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. Qualifications 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.