Engineering Manager - ML & Data Scraping

November 10

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EcoVadis

WebsiteLinkedInAll Job Openings

Responsible Sourcing • Corporate Social Responsibility • Sustainability • Supply Chain • Sustainable Procurement

1001 - 5000 employees

Founded 2007

☁️ SaaS

📋 Compliance

🏢 Enterprise

💰 Secondary Market on 2022-11

Description

• Our Technology and Platform Services department designs and secures the platform that underpins all of our offerings, achieving scalability and continuous improvement through innovation and collaboration. • EcoVadis is currently seeking 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. • This team's work is pivotal in gathering the data that underpins our sustainability assessments and insights. • The Engineering Manager is responsible for the good functioning and performance of the team, from both an individual and collective view. • The role will manage and support the team to meet challenging business goals and time frames. • You are also responsible for the quality of what the team delivers, and must therefore introduce good practices as necessary, for various aspects of the job. • You will collaborate with other engineering managers to ensure that development processes are optimal. • Some of the responsibilities will include, but will not be limited to: 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.

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).

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