Responsibilities

Design and maintain conceptual, logical, and physical data models.
Analyse data sources and develop data mapping and transformation logic.
Build and maintain data pipelines, ETL/ELT processes, and data integration workflows.
Perform data profiling, quality assessment, and data preparation activities.
Apply data governance, metadata management, and master data management (MDM) principles.
Develop technical documentation, data lineage, and visual data models.
Collaborate with stakeholders to gather requirements, validate data models, and support data-driven initiatives.
Ensure data solutions are scalable, reliable, and aligned with best practices.

Requirements

2-4+ years of experience in data engineering, data modelling, or data architecture for Associate-level candidates.
Bachelor's degree in Computer Science, Information Systems, Data Science, Software Engineering, or a related discipline.
Strong experience in conceptual, logical, and physical data modelling.
Proficiency in SQL, relational databases, and Python.
Experience with ETL/ELT tools and data engineering platforms.
Knowledge of data governance, metadata management, and MDM practices.
Familiarity with tools such as PostgreSQL, Denodo, Dataiku, or similar platforms is advantageous.

Data Engineer (Data Modeling)