Data Engineer
Responsibilities
As a Data Engineer, you will design, build, and maintain scalable data pipelines and architectures that support data processing and analytics across the organization. You will collaborate closely with business stakeholders, analysts, and engineering teams to deliver reliable and efficient data solutions.
Design, build, and maintain robust ETL pipelines and data workflows.
Develop and optimize data processing solutions using Python.
Ensure data quality, consistency, and availability across multiple data sources.
Collaborate with stakeholders to gather and translate data requirements into technical solutions.
Work with cloud-based data platforms (preferably Azure).
Support data platform development and continuous improvement.
Document data processes and follow best practices in data engineering.
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
Strong experience with Python and data processing
Hands-on experience with ETL pipelines and workflow orchestration tools (e.g., Airflow)
Experience with data processing frameworks such as Spark or Databricks
Familiarity with cloud platforms (preferably Azure) and exposure to DevOps practices
Strong SQL skills and experience working with databases
Fluent communication skills in English and Polish
Openness to hybrid work and regular visits to the Katowice office (once per month)
About Concept Reply
Concept Reply is an AI and IoT (AIoT) technology software development company within the Reply network. Its experts specialise in providing end-to-end business transformation solutions for the automotive, manufacturing, and smart infrastructure sectors. The company delivers software innovations to customers throughout the entire value chain, from AIoT strategy definition to implementation, rollout, and operations.