Data Engineer

EcoVadis Logo

EcoVadis

πŸ“Remote - Poland

Summary

Join EcoVadis' growing data platform team as a Data Engineer to design, build, and maintain data architectures and processing solutions. You will play a key role in preparing and maintaining self-serve data infrastructure, ensuring data availability, security, and scalability. Responsibilities include building and maintaining data pipelines, integrating internal and external data, supporting BI and business in efficient data modeling, and collaborating with cross-functional teams. The ideal candidate will have 2-3 years of experience in data processing pipelines using distributed data processing engines, hands-on experience with Python, and expertise with SQL and database design. This full-time position in Warsaw offers flexible working hours, wellness allowances, professional development opportunities, and a hybrid/remote work option.

Requirements

  • 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

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

Preferred Qualifications

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

Benefits

  • 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

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