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Data Engineer (Mid-Level)

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 are looking for a Data Engineer to join our growing data platform team. We need a skilled engineer who will help us develop and maintain data architectures and processing solutions that empower our data scientists, BI analysts and many other internal data consumers. One major role of the team is to prepare and maintain self-serve data infrastructure, and ensure data availability, security and scalability. Another one is to build and maintain pipelines for integrating internal and third-party data while ensuring high data integrity and quality. The engineer will work in a dynamic, fast-changing environment with plenty of interaction with other teams.

Responsibilities

  • Design, build, maintain and manage the data platform components. 

  • Create, maintain and monitor pipelines for regular data processing while ensuring data reliability, quality and efficiency

  • Maintain data serving layer, manage permissions and automate processes around data catalog,

  • Develop integrations with internal and external data sources,

  • Support BI and business in efficient data modeling,  

  • Cross-functional cooperation with data scientists, data engineers, devops, architects, developers, QA and other parties. Collaborate to bring new features and services into production.

  • Develop and improve operational practices and procedures

Qualifications

  • Proven 2-3 years of experience in designing and implementing data processing pipelines using distributed data processing engines

  • Hands-on experience with Python in data engineering applications, understanding common programming principles

  • Experience with data orchestration

  • Experience with cloud platforms such as AWS, Azure, or GCP.

  • Expertise with SQL, database design/structures, ETL/ELT design patterns

  • Proficiency in English

Nice to have:

  • Experience with: Databricks, Azure cloud, Azure DevOps, CI/CD

Additional Information

 

  • Beginning: ASAP
  • Full time position (Permanent after probation)
  • Location: Warsaw

In return for your expertise and energy, 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 (4 days in office per month) / full remote work

  • 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 fit all the criteria but still think you’d be a good candidate? Please apply anyway to give our hiring team the opportunity to assess your skills and to learn more about what you could bring to EcoVadis. We’re interested in hiring from a diverse and skilled talent pool, regardless of professional and educational background.

Can the hiring process be adjusted to suit my needs? Yes. We want everyone going through the hiring process with EcoVadis to feel confident that you are able to demonstrate your full potential. We welcome applications from disabled people, people with long-term health conditions, and neurodiverse candidates. If you need any adjustments, including the provision of interview questions, please let the hiring team know.

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 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. In your application, we encourage you to remove personal information such as: photographs, marital status, number of children, religion, gender, residential postal code, university graduation date, past medical or parental leave(s) taken, nationality (instead, please state if you are legally eligible to work in the job region/country), university name (instead, please state any degrees obtained and the study major).

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What You Should Know About Data Engineer (Mid-Level), EcoVadis

At EcoVadis, we're on a mission to lead the charge towards a sustainable future for businesses around the globe, and we're looking for a Mid-Level Data Engineer to join our dynamic data platform team in Warsaw, Poland. As a Data Engineer, you'll play a crucial role in developing and maintaining robust data architectures and processing solutions that empower our data scientists and business intelligence analysts. Your work will include creating and monitoring pipelines that ensure data reliability and quality, as well as building integrations with both internal and external data sources. You’ll collaborate cross-functionally with talented professionals from various teams, working in a fast-paced environment where no two days are the same. Plus, with our focus on a self-serve data infrastructure, you'll help ensure data accessibility and integrity while enjoying the flexibility of hybrid work options. At EcoVadis, we deeply value your contribution, and we're committed to fostering a workplace that celebrates diversity and inclusivity. Come grow your career with us while making a real impact on the world – we can't wait to meet you!

Frequently Asked Questions (FAQs) for Data Engineer (Mid-Level) Role at EcoVadis
What are the key responsibilities of a Data Engineer at EcoVadis?

As a Data Engineer at EcoVadis, your main responsibilities include designing, building, and managing data platform components. You'll create and monitor data processing pipelines, develop integrations with various data sources, and ensure high data integrity and quality. Collaboration with data scientists, BI analysts, and other technical teams will be essential as you work to implement new features and maintain the self-serve data infrastructure vital for our operations.

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What qualifications are needed to apply for the Data Engineer position at EcoVadis?

To be a strong candidate for the Data Engineer position at EcoVadis, you should have 2-3 years of experience in designing and implementing data processing pipelines. Hands-on experience with Python and familiarity with SQL, cloud platforms like AWS, Azure, or GCP, and data orchestration tools are also essential. A solid understanding of data modeling and ETL/ELT design patterns will further strengthen your application.

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How does EcoVadis support the professional growth of its Data Engineers?

At EcoVadis, we believe in the continuous professional development of our employees, including Data Engineers. We offer learning and development opportunities, participation in sustainability events, and a supportive environment where you can enhance your skills. Joining our community means having access to resources that foster both personal and professional growth, allowing you to excel in your career while contributing to a significant cause.

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What is the work environment like for Data Engineers at EcoVadis?

The work environment for Data Engineers at EcoVadis is dynamic and collaborative. Our team thrives on interaction across multiple departments, including data scientists and software developers, and embraces a culture of flexibility. With options for hybrid work and a strong emphasis on teamwork, you will find an engaging atmosphere that encourages innovation and creativity while balancing your professional and personal life.

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What benefits and perks can Data Engineers expect at EcoVadis?

Data Engineers at EcoVadis enjoy a comprehensive benefits package, including flexible working hours, wellness allowances, and mental health support. Additional perks such as a Multisport card, lunch card, and opportunities for community service make our company culture not only rewarding in terms of career growth but also in terms of overall employee wellbeing.

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Common Interview Questions for Data Engineer (Mid-Level)
Can you describe your experience in designing data processing pipelines?

When discussing your experience, provide specific examples of the projects you've worked on, the tools and technologies you used, and the challenges you faced. Highlight your understanding of data integrity and the steps you took to ensure reliability in the pipelines.

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How do you ensure data quality and integrity in your work?

To answer this question, illustrate your method for validating data, such as setting up monitoring systems, automating data quality checks, and implementing error-handling procedures. Discuss any tools or frameworks you’ve used to maintain data integrity.

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Describe a time when you had to collaborate with other teams. What was your approach?

Share an example of a project where cross-functional collaboration was essential. Talk about how you communicated, facilitated partnership, and coordinated efforts, ensuring all parties' insights and requirements were taken into account.

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What programming languages and tools are you most comfortable with in data engineering?

Clearly list the programming languages you’re proficient in, particularly Python, and discuss projects or specific applications you've developed using these languages. Mention any relevant tools or frameworks that enhance your capabilities as a Data Engineer.

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How do you stay updated with the latest trends in data engineering?

Talk about your commitment to continuous learning, such as attending workshops, following industry leaders, and participating in relevant forums. Mention any recent topics or technologies that you find particularly interesting and how you plan to incorporate them into your work.

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Can you explain an ETL/ELT process you've implemented?

Describe the specific ETL/ELT process you implemented, detailing the data sources, transformation techniques, and load strategies used. Highlight how you ensured efficiency and accuracy within the data processing workflow.

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What experience do you have with cloud platforms in data engineering roles?

Discuss your hands-on experience with platforms like AWS, Azure, or GCP, and explain how you've utilized these services in your previous projects. Provide examples of specific features or functionalities that you've leveraged for data processing tasks.

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How do you handle scaling data infrastructure to meet increasing demand?

Answer by explaining your approach to scaling, such as implementing distributed processing, optimizing resource allocation, and ensuring high availability. Reference any specific instances where you successfully managed growth in data usage.

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Describe a challenging data engineering problem you've faced and how you resolved it.

Share a specific challenge, detailing the problem itself and the steps you took to resolve it. Discuss the outcome and what you learned from the experience that could benefit your future work.

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What strategies do you use to optimize data processing performance?

Provide insight into your methods for performance optimization, such as indexing, partitioning, utilizing caching mechanisms, and understanding query performance. Discuss specific projects or examples where these strategies led to improved results.

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EcoVadis' purpose is to guide all companies toward a sustainable world. We envision a global marketplace where sustainability intelligence influences every business decision – improving economies, people’s lives and the planet we all depend on. ...

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March 25, 2025

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