Data Engineer
Core
Design, develop, and maintain robust, scalable data solutions integrating systems, automation, and AI to support digital transformation.
Role type
Mid-level Data Engineer
Builds
Data pipelines, orchestration workflows, and AI-driven internal tools
Domain
Enterprise technology and digital transformation
Deliverable
production ML models
Required skills
SQL, Python, Apache Airflow, Snowflake, ETL/ELT architecture, ERP integration, Generative AI, LLMs
Preferred skills
SAP Business One, REST APIs, Docker, Git, Linux, Data Warehousing, RAG systems
Responsibilities
Design and maintain data pipelines and ETL/ELT processes; Develop orchestration processes with Apache Airflow; Work with SQL and Python for data extraction and integration; Design data models and architectures on Snowflake; Integrate information from ERPs, databases, APIs, and corporate systems; Develop AI-based automations and generative AI agents; Ensure data quality, traceability, and reliability; Document processes and evolve technology architecture.
