Manager - Data Engineering

Manager - Data Engineering

Agilytic

Brussels, Belgium

To sustain the growth in our Data Engineering practice, we are seeking an entrepreneurial project manager. You will oversee data engineers throughout the entire project lifecycle - from drafting proposals to delivering results. Your role includes ensuring projects follow our methodology and quality standards while staying within budget.

As a coach, you will help colleagues develop the business and technical skills needed to effectively manage their own projects.

Key responsibilities

• Collaborate with IT/data specialists and business executives (marketing, operations, finance, customer care);
• Lead end-to-end project delivery, from proposal development to final implementation;
• Build and nurture client relationships while managing key accounts;
• Mentor and guide team members;
• Lead internal initiatives to improve the way we work at Agilytic.

Requirements

We are looking for strong candidates with a master's in engineering, computer science or any relevant scientific field and at least five years of demonstrable professional experience in:

• Leading data engineering projects from kick-off to final delivery;
• Managing technical teams, including both technical and managerial oversight;
• Client and stakeholder relationship management;
• Working with ETL and statistical packages (Python, Spark);
• Working with cloud data environments (AWS, Azure, GCP);
• Programming in at least one data language (Scala, Spark, SQL), with required Python proficiency.

Additional requirements:

• Proven track record in project and stakeholder management;
• Fluency in English and either French or Dutch;
• Valid type B driving license (Belgian car license) or equivalent;
• Eligibility to work in Belgium and the European Union (please be aware that we cannot provide relocation support).

We are also looking for the following attributes:

• Strong problem-solving skills and drive to find solutions in a client-facing role;
• Ability to communicate effectively with all stakeholders - from front-line staff to executives, technical and non-technical alike;
• Skill in analyzing large datasets and distilling key insights that serve business objectives;
• Strong commitment to quality work;
• Alignment with our company values;
• Empathy, humility, and a "Servant Leadership" approach to management;
• Enthusiasm for contributing to our growing, entrepreneurial organization and helping shape its future;
• Natural problem-solving mindset;
• Passion for learning new technologies and eagerness to share knowledge with the team.