Engineering Manager - ML & Data Scraping (F/M/D)

Work smart, have fun and make an impact!

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.

If you have questions about the company or open roles you can chat with an insider.

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.

• 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.

Location: Berlin 

Everyone at EcoVadis contributes to a culture of trust, respect and empowerment. Our growing team in Germany is full of talented professionals from various sectors who all share a desire to make an impact.

We offer competitive salaries and support personal growth from day one with extensive onboarding, mentoring and a brand new e-learning platform bursting with courses and modules so you can learn new skills and fine-tune old ones.

Benefits:

• Support with all the necessary office and IT equipment
• Hybrid for colleagues who live near our offices (4 days per month) otherwise remote in the country you are hired in
• Wellness allowance for mental and physical wellbeing
• Annual performance bonus
• Remote work from abroad policy
• Flexible working hours
• Health coverage and optional pension scheme
• Internet and electricity bill allowance
• CSR activities
• Subsidized travel and BahnCard 50
• Community service day 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).