Engineering Manager

Responsibilities

Ensure the timely and high-quality delivery of data engineering projects and initiatives.

Recruit, mentor, and manage the performance and career growth of the data engineers.

Serve as the primary liaison for the GDDS team, ensuring clear communication and alignment with the Engineering Chapter Director, Regional Engineering Managers/Leaders (Europe, Americas, Asia-Pacific), Solution Architects, Product Managers and Product Owners.

Drive the adoption of engineering best practices and agile methodologies within the team.

Manage team capacity and resources effectively to balance new projects with ongoing maintenance

Foster a cohesive and collaborative team culture that spans across the offshore and onshore locations.

Additional Responsibilities

Effective communication and collaboration across global teams and stakeholders.

Good analytical and problem-solving skills to align team’s skills and capacity with business objectives.

Customer-centric mindset

Emotional intelligence and conflict resolution for maintaining a positive work environment.

Technical and Professional Requirements

Core skills:

Proven people management skills, with the ability to motivate, mentor and inspire team members to deliver high-quality work.

At least 5 years of experience in data engineering or cloud engineering delivery, with a proven track record of managing complex cloud implementation in technologies such as AWS, Azure, or Google Cloud Platform

Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders

Experience with agile project management methodologies

Nice to have:

Basic understanding of data engineering practices, technologies, architecture principles (e.g. modern data stack, data modeling, …)

Preferred Skills

• Databricks

Educational Requirements

Bachelor of Engineering