Chief Data Engineering and Machine Learning Leader

11 hours ago


Warsaw Rzeszów Kraków Gdańsk Wrocław, Czech Republic EcoVadis Full time

We are seeking a highly experienced Chief Data Engineering and Machine Learning Leader to join our team at EcoVadis. In this role, you will be responsible for the overall direction and strategy of our data engineering and machine learning initiatives.

About Us

EcoVadis is a leading provider of business sustainability ratings and intelligence solutions. Our platform helps companies assess and improve their environmental, social, and governance (ESG) performance.

Job Description

The successful candidate will have extensive experience in software engineering, with a strong background in data engineering and machine learning. They will lead a team of 8-10 engineers specializing in data engineering, machine learning, web scraping, and data analysis.

Key responsibilities include:

  • Building, mentoring, and growing a high-performing team of engineers
  • Oversight of development of reliable and scalable data pipelines and APIs
  • Advancing existing applications to meet scalability and cost efficiency requirements in data processing and ML models
  • Setting clear expectations and creating a positive and inclusive work environment
  • Collaborating with Product Owners & Product Managers to understand business needs and priorities
  • Coordinating and communicating seamlessly across engineering and product leadership teams
  • Integrating advanced machine learning techniques into data collection and analysis processes

The ideal candidate will have excellent communication skills, including mentoring, coaching, and conflict resolution. They will also have experience working in Agile environments and in Sprints.

Requirements

To be successful in this role, you will need:

  • 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
Benefits

We offer a competitive salary of $175,000 per year, plus a range of benefits including:

  • Sport subscription
  • Training budget
  • Private healthcare
  • Lunch card
  • International projects
  • Free coffee
  • Bike parking
  • In-house hack days
  • No dress code
  • In-house trainings
Location

This role is based in [insert location], although we welcome applications from candidates who are open to relocation.



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