Job Description
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 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.
Responsibilities
- 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
Qualifications
You must fulfill at least one of the following two requirements:
- 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).
Set requirements for all applicants:
- 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
Additional Information
- 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
- 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
Our hiring team looks forward to reviewing your CV, in English, with a guaranteed response to every application. A new job with purpose awaits you!
Don’t meet all criteria? Please apply anyway. We welcome diverse candidates and want to assess your skills and potential contribution to EcoVadis, regardless of your background.
Can the hiring process be adjusted to suit my needs? Yes. We want all candidates, including people with disabilities, people with long-term health conditions, and neurodiverse applicants, to feel confident demonstrating their potential. If you require adjustments, such as interview questions in advance, please inform the hiring team.
Our team’s strength comes from everyone’s uniqueness and is founded upon mutual respect. EcoVadis commits to equity, inclusion and reducing bias in our hiring processes. EcoVadis does not accept any form of discrimination based on characteristics such as color, national or ethnic origin, ancestry, citizenship, religion, beliefs, age, sex, gender identity, sexual orientation, neurodiversity, disability, parental status, or any other protected characteristic that makes you unique. To reduce bias in hiring, applicants are encouraged to remove personal details such as photos, marital/parental status, religion, gender, postal code, university name/graduation date, past leave details, and nationality (instead, confirm eligibility to work in the job location).
Our recruitment processes do not include AI systems that make autonomous decisions impacting individuals’ rights without human oversight. Inputs and outputs of the system have been validated by humans and answers are based on algorithms that analyze previous data with which the system has been trained. We use SmartRecruiters as our applicant tracking system and to schedule interviews. Gemini is used to summarize notes from interviews and to refine job descriptions and social media messaging. AssessFirst is used to support talent assessment decisions.
