Manager Software Engineering

The Manager Digital Innovation leads the data engineering, data management, and software development functions that underpin Exyte’s digital innovation strategy.

The role is accountable for designing scalable product delivery, driving product development, and ensuring robust engineering practices. This includes, overseeing cloud‑based data platforms, enabling data‑driven solutions, and leading a high‑performing technical team.

The position blends technical depth with team leadership to support the company’s digital transformation and innovation objectives.

• Lead and manage team members and partners to effectively and efficiently support the product delivery in innovation.
• Work closely with stakeholders (e.g., Engineering, IT, Operations, Project Delivery) to understand their requirements and translate them into actionable innovations.
• Design and implement digital innovation programs, including ideation, prototyping, pilot testing, and scaling of new technologies such as AI, BIM, IoT, and automation.
• Work in coordination with innovation stakeholders to assess existing and emerging technologies.
• Establish engineering best practices, workflows, design specifications, and team knowledge sharing processes.
• Collaborate with teams across engineering, IT, operations, and innovation to identify and unlock value through data.
• Stay abreast of emerging technologies and assess their fit for future innovation opportunities.
• Support Agile delivery processes and adopt Azure DevOps for product lifecycle management.
• Contribute to the development of scalable, resilient, and maintainable cloud-based data infrastructure using Azure services.

• Bachelor’s or Master’s degree in Computer Science, Data Science, or related fields.
• 7+ years of experience in engineering or data roles, with strong exposure to solution architecture, infrastructure setup, and product development.
• Proven experience building and leading data teams from the ground up.
• Experience with the Building & Construction industry is advantageous
• Strong technical skills in SQL, Python, PostgresSQL, React.js and data processing frameworks such as Spark or Kafka.
• Deep understanding of data formats, data pipelines, and data processing systems (ETL/ELT).
• Extensive hands-on experience with Azure cloud services, including Data Lake Storage, Data Factory, Databricks and Synapse Analytics.
• Strong software engineering capability, with experience leading development using Azure DevOps.
• API Design.
• Knowledge of Agile methodologies and modern development practices