Informacje o stanowisku

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. 

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. 

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. 

,[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. Requirements: Data pipelines, Python, ETL, Apache Airflow, pandas, PySpark, NumPy, Keras, Azure, Databricks, Git, DevOps Additionally: Sport Subscription, Private healthcare, Life insurance, Training budget, Small teams, Free coffee, Free snacks, In-house trainings, Modern office, No dress code.

Praca Kraków

Kraków - Oferty pracy w okolicznych lokalizacjach