Engineering Manager

3 weeks ago


Remote Warsaw, Czech Republic EcoVadis Full time
  • 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).
,[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: Python, Machine Learning, NoSQL, SQL, Microservices, DevOps, Cloud, Azure, API, OpenAPI, Communication skills, AWS, Google cloud

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