Data Engineer (1-year fixed term) @ EcoVadis

Popis pozice

O pozici / o projektu

Původní popisek. We’re looking for a Data Product Engineer who wants to build modern data and AI foundations that are actually used across the business.

You’ll join our Data Products Team, where we design scalable data platforms, create reliable data products, and develop AI-powered solutions that help teams make faster and smarter decisions. This role goes beyond traditional ETL work: you’ll help shape an AI-ready ecosystem by combining data engineering, automation, semantic modeling, and emerging agentic technologies.

You’ll work on systems that power analytics, self-service BI, operational reporting, machine learning, and AI-driven workflows. From building resilient pipelines and semantic layers to experimenting with AI agents and intelligent automation, your work will directly influence how data is consumed and operationalized across the organization.

We’re looking for someone who enjoys solving complex data problems, improving developer and analyst experience, and exploring practical applications of AI in modern data platforms.

You’ll collaborate closely with data scientists, analytics engineers, BI teams, software engineers, architects, and DevOps in a fast-moving, highly collaborative environment where new ideas and experimentation are encouraged.

Additional Information

• ▪Applicants must be eligible to work and live in Poland
• ▪Full remote in Poland / Hybrid in Warsaw (4 days per month in the office)
• ▪1-year fixed term contract with the high possibility of extension
• ▪The salary range will be shared following the skills assessment stage of this recruitment process

In return for your expertise, we offer

• ▪Support with all the necessary office and IT equipment
• ▪Flexible working hours
• ▪Wellness allowance for mental and physical wellbeing
• ▪Access to professional mental health support
• ▪Referral bonus policy
• ▪Learning and development
• ▪Sustainability events and community involvement
• ▪Peer recognition program
• ▪Employee-led resource groups
• ▪Optional (fully covered or co-financed) health care and life insurance
• ▪Multisport card
• ▪Multikafeteria
• ▪Lunch card
• ▪Hybrid work organization
• ▪Remote work from abroad policy
• ▪Internet and Electricity bill allowance
• ▪Additional day for community service when volunteering

Odpovědnosti

Původní popisek. • 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.

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