Data Modeller

150 - 180 PLNNet per hour - B2B

Data Modeller

Data

centrum, Kraków

Antal Sp. z o.o.

150 - 180 PLN
Net per hour - B2B
Full-time
B2B
Mid
Hybrid

Tech stack

    Data modeling

    master

    AWS

    nice to have

    Azure

    nice to have

    Google Cloud Platform

    nice to have

    Hadoop

    nice to have

    Spark

    nice to have

    Big Data

    nice to have

    Linux (Debian)

    nice to have

    FSDM

    nice to have

    BDW

    nice to have

Job description

Data Modeller

Position:  Data ModellerLocation: Kraków hybridEmployment 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.


Key Responsibilities:

  • 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.


Required Skills:

  • 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.


Nice to Have:

  • 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.


To learn more about Antal, please visit www.antal.pl

 

Published: 20.08.2025
Office location