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Data Modeling Specialist

1 tydzień temu


Warszawa, Mazovia, Polska TN Poland Pełny etat

TenneT is a leading energy company in the European market, committed to delivering secure and efficient transmission of electricity across its network. As an IT Data Scientist with our team in Warsaw, Poland, you will play a critical role in developing and implementing data models that drive business growth and innovation.

About the Role

We are seeking an experienced IT Data Scientist to join our team and contribute to the development of cutting-edge data solutions. In this role, you will work closely with cross-functional teams to design and implement data models that meet business requirements and align with EU data protection and privacy standards.

Your key responsibilities will include:

  1. Data Landscape Analysis: Develop a comprehensive understanding of the existing data landscape, including data sources, sinks, and relevant systems.
  2. Data Model Creation: Design and implement a data model based on business requirements, system landscape, and available data.
  3. Data Structure Survey: Analyze the structure of data provided by peripheral systems, ensuring compatibility with the new system and alignment with EU data quality standards.
  4. Coordination of Data Formats: Work with peripheral systems to define data formats, ensuring they meet project requirements, and follow up on implementation.
  5. Software Selection: Evaluate and select appropriate software products for database management (Relational, NoSQL, Big Data), reporting systems, and analytics platforms.

You will also collaborate with IT and stakeholders to ensure consistency with business processes and adherence to integration requirements. If you have experience in designing and implementing data structures for large-scale, business-critical systems, adhering to modern IT data design and EU standards, we encourage you to apply.

Key Requirements

  • At least 5 years of professional experience as a Data Scientist or Data Engineer.
  • Strong knowledge of common database management systems (e.g., Oracle, PostgreSQL, Db2) and experience with Big Data and Data Lake technologies.
  • Experience working with cloud platforms (e.g., AWS, Azure) and hybrid infrastructures.
  • Familiarity with EU regulations and standards, particularly GDPR, EU Cybersecurity Act.