Data Engineer (Mid-Level)

Summary

Join EcoVadis's growing data platform team as a Data Engineer! You will design, build, and maintain data architectures and processing solutions. A key responsibility is preparing and maintaining self-serve data infrastructure, ensuring data availability, security, and scalability. You will also build and maintain data pipelines, integrating internal and third-party data. This role involves collaboration with various teams and a dynamic, fast-paced environment. EcoVadis offers a supportive work environment with flexible hours and various benefits.

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