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Data Engineer (1-year fixed term)

EcoVadis - Warsaw, Masovian Voivodeship, Poland

Posted Jun 10, 2026

Benefits

Parental leave
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Non-birth-parent leave
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Family-building benefits
  • Fertility benefits: Not verified
  • Adoption assistance: Not verified
  • Surrogacy assistance: Not verified
Mental health support
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Relocation assistance
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Childcare support
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Learning budget
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Verification
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Salary
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Market context

U.S. role benchmark (BLS OEWS)
$111,944 U.S. median for this role
Projected growth (BLS Employment Projections)
+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

Shift type
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Weekend work
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Company

Equity
Offered

Application

Cover letter
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Assessment
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Deadline
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Where they hire

State eligibility is not yet verified.

About this role

Data Engineer (1-year fixed term) Warsaw, Masovian Voivodeship, Poland Company Description: Work smart, have fun and make an impact! Our purpose is to guide all companies toward a sustainable world. EcoVadis is the leading provider of business sustainability ratings. Our solutions are backed by an international team of experts and powerful technology. We analyze data and build sustainability scorecards that give companies actionable insights into their environmental, social and ethical risks. Why apply to EcoVadis? Be a part of the global sustainability change in business. Grow your career. Work with extraordinary people. Feel valued for your contribution. Learn more about our team and culture on EcoVadis careers page . Job Description: 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

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