Data Engineer (1-year fixed term)

EcoVadis is the leading provider of business sustainability ratings. Their solutions are backed by an international team of experts and powerful technology. They analyze data and build sustainability scorecards that give companies actionable insights into their environmental, social and ethical risks.

• Proven 2 years of experience in designing and implementing data processing pipelines using distributed data processing engines.
• 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 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. Collaborate 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
• Hybrid in Warsaw (4 days per month in the office)
• 1-year fixed term contract with the high possibility of extension