Design, implement, and evolve the corporate data architecture.
Ensure efficient integration between transactional systems, analytical platforms, and cloud environments.
Serve as the technical reference for building data pipelines, data modeling, and governance.
Ensure solution quality, performance, and scalability.
Define strategies for data ingestion, transformation, and provisioning.
Lead architecture modernization by migrating legacy processes to automated, data-driven frameworks.

Degree in Data Science, Information Systems, Computer Engineering, Statistics, Business Administration, or a related field.
Minimum of 3 years' experience in related areas (Data, Analytics, BI, Data Engineering, or similar).
Proficiency in SAP Datasphere.
Experience developing and optimizing Core Data Services (CDS Views) in SAP S/4HANA.
Knowledge of defining and implementing semantic layers in Datasphere.
Experience with data integration and configuring data flows with AWS environments (S3 and Redshift).
Python programming applied to data.
Knowledge of SQL and ETL tools (e.g., Pentaho).
Experience with data ingestion (SDI).
Development of dashboards in Power BI.
Postgraduate degree or specialization in Data Science, Analytics, or related fields (preferred).
Knowledge of modern data architectures (Lakehouse, Data Platforms) (preferred).
Experience with DataOps practices and automation of data pipelines (preferred).
Experience integrating data for AI and Machine Learning models (preferred).
Knowledge of data governance, cataloging, and data quality (preferred).
Participation in data architecture modernization projects (preferred).
Experience in medium or large companies (advantageous).
Experience in environments undergoing digital transformation and data structuring (advantageous).

Health and Dental insurance plans, extendable to legal dependents;
Meal allowance/voucher or on-site cafeteria;
Group life insurance;
Private pension plan;
Transportation voucher and/or shuttle service (manufacturing sites);
Performance-based bonus plan (PPR), subject to annual targets;
Wellhub
gym and studio membership plan for physical activity;
Pharmacy assistance (for prescription medications included in the plan);
Galena
educational benefit with exclusive discounts at partner institutions;
Employee Assistance Program (EAP) – consulting services with psychologists, lawyers, and social workers to help employees find solutions for personal and/or professional issues;
Funeral assistance.

Senior Data Analyst

Key skills