Data Engineer (1-year fixed term)

EcoVadis is hiring a Data Product Engineer to join their Data Products Team. The team designs scalable data platforms, creates reliable data products, and develops AI-powered solutions to support faster and smarter business decisions. The role involves building modern data and AI foundations used across the business, including analytics, self-service BI, operational reporting, machine learning, and AI-driven workflows.

• Proven 2 years of experience in designing and implementing data processing pipelines using distributed data processing engines, OR expertise with SQL, database design/structures, ETL/ELT design patterns, and data modeling concepts (e.g., star/snowflake schemas).
• Experience with data orchestration, development processes, and version control systems (e.g., Git, Azure DevOps/CI/CD).
• Experience with cloud platforms such as AWS, Azure, or GCP, and specific cloud data tools (e.g., Azure Data Factory, Databricks).
• Proficiency in English.

Nice to have:

• Experience with Databricks, Azure cloud, Azure DevOps, CI/CD.
• Experience with creating AI agents, agentic infrastructure, and workflows.

• Create, maintain, and monitor pipelines for regular data processing, leveraging AI-assisted ETL build techniques to ensure data reliability, quality, and efficiency.
• Maintain data serving layer, focusing on designing and implementing an AI-ready semantic layer.
• Create AI agents to automate repeatable processes and provide first line of support for end-users.
• Develop integrations with internal and external data sources, defining and enforcing data contracts with clear quality metrics to ensure data integrity.
• Support BI and business in efficient data modeling.
• Cross-functional cooperation with data scientists, DevOps, architects, developers, QA, and other parties to bring new features and services into production.
• Develop and improve operational practices and procedures.

Applicants must be eligible to work and live in Poland.