DevOps/Data Engineer

O projekcie: At Mindbox we connect top IT talents with technology projects for leading enterprises across Europe.  As a Data Engineer, you will design and implement robust, scalable, and reusable data solutions, working on ETL/ELT pipelines, automation, and analytics to support security initiatives. This role involves close collaboration with stakeholders, technical analysis, and delivering high-quality solutions in an Agile environment. Sounds like your kind of challenge?  What you get in return - Flexible cooperation model – choose the form that suits you best(B2B, employment contract, etc.) - Hybrid work setup – remote days available depending on the client’s arrangements (6 days per month in Kraków) - Collaborative team culture – work alongside experienced professionals eager to share knowledge  - Continuous development – access to training platforms and growth opportunities  - Comprehensive benefits – including Interpolska Health Care, Multisport card, Warta Insurance, and more  - High quality equipment – laptop and essential software provided  Note: Detailed project information will be shared during the recruitment process. Wymagania: Must-have: - Hands-on experience in data pipelines and ETL/ELT processes using Python. - Strong knowledge of ETL frameworks (Apache Airflow, Pandas, PySpark, Dagster). - Proficiency in Python development (Numpy, Pandas, Keras). - Practical experience with Apache Airflow and Big Query / Azure Databricks. - Familiarity with GIT and efficient branch management. - Strong experience in data analysis and developing production-grade code. - Proven track record in delivering enterprise-grade technical solutions. - Experience working in Agile/Scrum environments. - Excellent communication skills in English (written and verbal). Nice-to-have: - Hands-on experience with DevOps practices and tools. - Background in financial services or large-scale enterprise environments. Joining this project you’ll become part of Mindbox – a tech-driven company where consulting, engineering, and talent meet to build meaningful digital solutions. We’ll back you up every step of the way, accelerate your development, and ensure your skills make a difference. Codzienne zadania: - Design, develop, and maintain data pipelines and ETL/ELT processes using Python. - Implement and optimize workflows using Apache Airflow or similar frameworks. - Work with Big Query and/or Azure Databricks for data processing and analytics. - Translate detailed designs into scalable, reusable solutions ensuring performance and security. - Perform technical analysis for projects, changes, and production implementations. - Collaborate with stakeholders to influence design decisions and achieve desired outcomes. - Apply best practices in release management, quality control, and DevOps. - Contribute to continuous improvement through automation and efficient processes. - Work within Scrum/Agile methodologies and participate in design, development, and testing phases.