Engineering Manager

My client, a forward-thinking player within the information technology space, is looking for an Engineering Manager to lead a dynamic Data Science and engineering team. This opportunity is ideal for a hands-on leader who still enjoys being close to the code while driving delivery, strategy, and innovation.
 
The role offers the chance to work on impactful, large-scale projects that leverage data to solve real-world business problems. The environment promotes autonomy, collaboration, and continuous learning, giving developers the freedom to explore new technologies and approaches.
The team consists of highly skilled engineers and data specialists, and this role forms a critical bridge between technical execution and business outcomes. The company embraces modern engineering practices and values diversity, inclusion, and knowledge sharing.
What’s in it for the candidate?
 
Exposure to meaningful, high-impact data projects, strong leadership influence, and the ability to grow both technically and strategically within a respected IT environment.

Key Responsibilities:

• Lead and mentor a team of engineers and data professionals, fostering a high-performance culture
• Drive the delivery of scalable, high-quality software and data solutions
• Collaborate with cross-functional stakeholders to define and execute technical strategy
• Oversee architecture decisions, best practices, and modern development methodologies
• Ensure alignment between engineering output and business goals
• Contribute to continuous improvement across processes, tools, and team capability

• Proven experience in an Engineering Manager or technical leadership role
• Strong background in software engineering within data-driven environments
• Experience working with data science teams or data-centric products
• Demonstrated ability to lead teams and deliver complex projects

• Strong understanding of modern software development practices
• Experience with relevant programming languages and data technologies (e.g., Python, cloud platforms, data pipelines – specifics to be discussed)
• Solid knowledge of system design and scalable architecture
• Excellent stakeholder management and communication skills

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