EcoVadis is hiring a
Engineering Manager

Summary

Join our team at EcoVadis as an Engineering Manager to lead a team responsible for collecting & analyzing millions of news articles and documents related to Corporate Social Responsibility (CSR) using AI models.

Requirements

• 8+ years in software engineering, with significant experience in data engineering and machine learning
• 3+ years as a software engineering leader/manager
• Proficient with Python in a web and data-focused environment
• Extensive experience with NoSQL/SQL databases in production environments
• Solid understanding of system design and software architecture, particularly with microservices
• Experience with web scraping technologies and building data collection pipelines
• Knowledge of machine learning concepts and experience deploying ML models to production
• Familiarity with DevOps practices on cloud architectures (Azure)
• Experience with API design, implementation, and documentation, using OpenAPI 3.0 specification
• Excellent communication skills, including mentoring, coaching, and conflict resolution
• Experience and passion for hiring, growing, and guiding people
• Experience working in Agile environments and in Sprints
• Ability to work well in an international and multicultural environment in a fast-growing company
• Good verbal and written communication skills in English and Polish (C1/C2)

Responsibilities

• Build, mentor, and grow a team of 8-10 engineers specializing in data engineering, machine learning, web scraping, and data analysis
• Oversee the development of reliable and scalable data pipelines and APIs
• Advance existing applications to meet scalability and cost efficiency requirements in data processing and ML models
• Set clear expectations and create a positive and inclusive work environment
• Work closely with Product Owners & Product Managers to understand business needs and priorities
• Coordinate and communicate seamlessly across engineering and product leadership teams
• Collaborate with our AI Center of Excellence to integrate advanced machine learning techniques into data collection and analysis processes
• Identify and manage risks throughout the product development process, especially those related to data integrity, cost and model performance
• Be an exemplar of our company culture and values

Benefits

• Support with all the necessary office and IT equipment
• Optional (fully covered or co-financed) health care and life insurance
• Multisport card and wellness allowance
• Multicafeteria
• Lunch card
• Annual performance bonus
• Flexible working hours
• Hybrid/ full remote work
• Remote work from abroad policy
• French and Polish classes
• Internet and Electricity bill allowance
• CSR activities
• Modern, pet-friendly office in the city center (next to Rondo ONZ)
• Community service day when volunteering