Data Management Specialist

2 days ago


Remote Warszawa Wrocław Białystok Kraków Gdańsk, Czech Republic beBeeDataArchitect Full time €80,000 - €120,000
We are seeking a highly skilled professional to join our organization in the role of Strategic Data Architect. This position involves designing and developing scalable data management architectures, infrastructure, and platform solutions for streaming and batch processing using Big Data technologies like Apache Spark, Airflow, and Iceberg.

This individual will work closely with our Data Science team on data analysis and Machine Learning projects, including text/image analysis and predictive model building. Additionally, they will contribute to the development of CI/CD and MLOps processes, translate business requirements into technical solutions, and ensure optimal performance and quality.

  • Develop applications to aggregate, process, and analyze data from diverse sources.
  • Design and implement data management and data governance processes and best practices.
  • Develop and organize data transformations using DBT and Apache Airflow.
Requirements:
  • 5+ years of commercial experience in implementing, developing, or maintaining Big Data systems.
  • Strong programming skills in Python or Java/Scala: writing clean code, OOP design.
  • Experience in designing and implementing data governance and data management processes.
  • Hands-on experience with Big Data technologies like Spark, Airflow, Iceberg, CI/CD, Kafka.
  • Proven expertise in implementing and deploying solutions in cloud environments (with a preference for AWS).
  • Excellent understanding of dimensional data and data modeling techniques.
  • Excellent communication skills and consulting experience with direct interaction with clients.
  • Ability to work independently and take ownership of project deliverables.
  • Master's or Ph.D. in Computer Science, Data Science, Mathematics, Physics, or a related field.
  • Fluent English (C1 level) is a must.
Preferred Skills:
  • International projects
  • Flexible working hours and remote work possibility
  • Paid leave
  • Training budget
  • Language classes
  • Team building events
  • Small teams
  • Startup atmosphere
  • No dress code
  • In-house trainings


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