Senior Manager Data Engineering

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Manager Data Engineering in Netherlands.

As a Senior Manager Data Engineering, you will lead the design, development, and delivery of enterprise-scale data platforms across multiple clients and internal initiatives. You will combine technical mastery with strategic leadership, guiding teams in building scalable, secure, and high-performance data solutions. This role provides the opportunity to shape the data engineering capabilities, drive innovation in cloud-native architectures, and serve as a trusted advisor to stakeholders. You will mentor engineers, set technical standards, and influence best practices, while ensuring impactful outcomes for clients across diverse industries. The position offers a dynamic, collaborative environment where your expertise directly contributes to business growth and technical excellence.

• Lead the architecture, design, and implementation of end-to-end data platforms on cloud environments (e.g., Azure, Databricks).
• Define and oversee scalable, secure, and high-performance data pipelines for batch and real-time processing.
• Act as the technical authority across client engagements, ensuring platform reliability, monitoring, and cost efficiency.
• Mentor and grow teams of data engineers, fostering best practices in data modeling, governance, testing, and documentation.
• Collaborate with analytics, product, and platform teams to enable data products and actionable insights.
• Serve as a trusted advisor to senior stakeholders, translating business needs into robust technical solutions.
• Drive adoption of modern data stack principles, DataOps/DevOps practices, and cloud-native architectures.

Requirements:

• Master’s degree in Computer Science, Data Science, or a related field.
• 7+ years of experience in data engineering roles with proven leadership of complex projects and teams.
• Strong hands-on expertise in Python, SQL, and distributed data frameworks (e.g., Spark).
• Extensive experience with cloud platforms (Azure, Databricks) and modern data architectures (lakehouse, data warehousing).
• Knowledge of real-time data ingestion, orchestration, and workflow management (e.g., Airflow, Azure Data Factory).
• Experience with DevOps/DataOps, CI/CD pipelines, and infrastructure-as-code tools (Terraform).
• Solid understanding of data governance, quality, security, and compliance standards.
• Excellent communication, stakeholder management, and leadership skills.
• Fluency in English; Dutch proficiency is a plus.
• Consulting or client-facing experience, MLOps knowledge, and familiarity with modern analytics tools (dbt, Looker) are desirable.

Benefits:

• Competitive salary with performance incentives.
• Flexible working arrangements with options for remote work or office-based collaboration.
• Professional development and tailored growth opportunities in data engineering and leadership.
• Exposure to diverse international clients and high-impact projects.
• Collaborative, inclusive, and innovative work environment.
• Access to cutting-edge cloud and analytics technologies.
• Mentorship and career progression within a high-performing team.