
Data Modeller @ Antal
21 hours ago
- Experience in data modeling for both transactional and analytical systems.
- Strong understanding of metadata, data analysis, and requirement gathering.
- Ability to clearly communicate complex data modeling concepts to technical and non-technical audiences.
- Leadership experience, including mentoring and guiding teams.
- Strong stakeholder management and consulting skills.
- Solid knowledge of data governance, data quality, and protection practices.
- Experience with cloud data platforms (AWS, Azure, GCP).
- Familiarity with Big Data ecosystems (Hadoop, Spark).
- Knowledge of industry models (BIAN, FSDM, BDW) or experience in designing enterprise-wide data models.
Position: Data Modeller
Location: Kraków hybrid
Employment Type: Full-time | B2B
We are seeking a Data Modeller to design enterprise-grade data models and lead a team of data modellers in shaping our data foundation. You'll collaborate closely with cross-functional teams to ensure consistency, scalability, and data quality across systems.
,[Design and develop conceptual, logical, and physical data models to support business operations and analytics., Work with stakeholders to gather requirements and translate them into scalable, efficient data models., Define and enforce data modeling standards, best practices, and governance policies., Mentor and train the data modelling team in tools, techniques, and methodologies., Collaborate with data architects, engineers, and analysts to align data models with broader data strategies., Contribute to design and architecture discussions to ensure end-to-end data consistency., Stay up to date on data technologies, trends, and tools; evaluate and recommend improvements.] Requirements: Data modeling, Data analysis, Stakeholder management, AWS, Azure, GCP, Big Data, Hadoop, Spark, Data models-
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