Data Engineering Manager

Data Engineering Manager - Data Ingestion Platform As Data Engineering Manager , you will lead the technical evolution and operational excellence of GEB’s Data Ingestion Tool platform. You will act as a technical architect and technical team leader, driving the design, development, and scalability of data ingestion pipelines, while ensuring alignment with business needs and enterprise architecture standards. You will collaborate closely with the Product Owner, business analysts, IT teams, and key stakeholders across the COO and business departments. Your role combines strategic oversight, hands‑on technical leadership, and mentoring of data engineering practices, supporting the transition from legacy systems to a modern, cloud‑based data ingestion framework. Main accountabilities (non‑exhaustive list) Technical Leadership & Architecture Define and evolve the ingestion platform architecture using PySpark, Databricks, and Azure Data Services Lead the implementation of scalable ingestion pipelines following Medallion architecture (Bronze, Silver, Gold layers), including proactive initiation of (technical) improvements Ensure robust data quality validation, metadata management, and access control using Unity Catalog and Delta Lake Oversee integration with APIs (REST, GraphQL), third‑party tools, and enterprise systems Coordinate continuous improvement with the Product Owner, to spur relevant functional and business changes with measurable impact – both for process‑oriented and technological improvements (ML, AI) Team & Delivery Management Mentor and guide data engineers, promoting best practices in development, testing, and CI/CD Translate business requirements into technical specifications and oversee their implementation Collaborate with the Product Owner to align technical delivery with product roadmap and business priorities Drive Agile delivery practices, including sprint planning, backlog grooming, and release management Operational Excellence Support stakeholder engagement through technical presentations, workshops, and training sessions Requirements Strong leadership and communication skills, with the ability to influence technical direction and engage stakeholders Proven experience in designing and implementing scalable data architectures Ability to balance strategic oversight with hands‑on technical execution Proactive problem‑solver with a structured approach to managing complexity Comfortable working in Agile teams and managing multiple priorities Collaborative mindset with a focus on team development and knowledge sharing Minimum 8 years of experience in data engineering, with at least 2 years in a leadership or architect role Bachelor’s or master’s degree in computer science, Engineering, or related field Experience in insurance or financial services is a strong asset CI/CD tools (Azure DevOps), Git, and optionally Terraform Familiarity with Medallion architecture and Unity Catalog. Experience with Agile methodologies and tools (Jira, Confluence). Willingness to travel occasionally as required by business needs Fluent in English; any other language would be considered an asset This is a permanent and full‑time position, based in Assago (close to Milan, Italy). Company Profile GEB is a global Employee Benefits platform that helps Multinational Corporates succeed by protecting and enabling the physical, emotional & financial wellbeing of their human capital. Driven by customer service, innovation, and operational excellence, GEB is built on an ecosystem of partnerships to support clients on their Environmental, Social & Governance journey. Its presence is truly global (127 countries) and reliable thanks to 136 trusted local Network Partners, who enable the provision of focused expertise and support to 298 Lifecycle Pooling coordinated multinational programmes, 324 other global solutions and 62 Captive programmes, with a premium volume of €1.643 billion (YE 2024). The GEB Business Service Centre (BSC) in Assago, Italy, is a service company that will be primarily focusing on providing services to our clients and network partners and support the overall division activity. #J-18808-Ljbffr