Big Data Cloud Chapter Lead - Engineering Manager
ID
3627
IT
(NL) Noord-Holland
Intentional permanent contract
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Job description
Voor onze opdrachtgever in de omgeving Amsterdam zijn wij op zoek naar een Big Data Cloud Chapter Lead - Engineering Manager.
Are you an experienced and passionate engineer who thrives at the intersection of data and leadership? We’re looking for a Chapter Lead to guide our Big Data Cloud engineers and help elevate our Cloudera-based data platforms to new levels of excellence. You’ll split your time between hands-on engineering and leading a growing team, all while building scalable, secure, and automated Big Data solutions that power the organization.
As Chapter Lead – Big Data Cloud, you will lead a talented team of engineers focused on developing and managing enterprise-grade Big Data platforms. In this dual-role, you'll dedicate 60% of your time to coaching, mentoring, and strengthening the chapter, and 40% to contributing technically to the team’s solutions — from building automation to supporting large-scale data pipelines.
You’ll play a key role in defining how next-generation analytics capabilities are delivered within our hybrid cloud environment, while fostering a strong engineering culture centered on learning, collaboration, and innovation.
Key Responsibilities
🔹 Leadership (60%)
✅ Guide and coach a team of Big Data Cloud engineers
✅ Foster a culture of innovation, feedback, and continuous learning
✅ Organize knowledge-sharing sessions and community-building initiatives
✅ Conduct 1:1s, performance reviews, and support career development plans
✅ Ensure team alignment with product goals and stakeholder expectations
✅ Promote craftsmanship, psychological safety, and technical excellence
🔹 Technical Delivery (40%)
✅ Improve and maintain automation scripts using Ansible
✅ Support the CI/CD pipelines with Azure DevOps
✅ Investigate and patch vulnerabilities across Big Data stacks
✅ Contribute to future-proofing the platform with managed service offerings
✅ Collaborate on infrastructure changes (Hadoop, Spark, Hive, Knox, etc.)
✅ Help onboard and support internal consumers of the platform
As Chapter Lead – Big Data Cloud, you will lead a talented team of engineers focused on developing and managing enterprise-grade Big Data platforms. In this dual-role, you'll dedicate 60% of your time to coaching, mentoring, and strengthening the chapter, and 40% to contributing technically to the team’s solutions — from building automation to supporting large-scale data pipelines.
You’ll play a key role in defining how next-generation analytics capabilities are delivered within our hybrid cloud environment, while fostering a strong engineering culture centered on learning, collaboration, and innovation.
Key Responsibilities
🔹 Leadership (60%)
✅ Guide and coach a team of Big Data Cloud engineers
✅ Foster a culture of innovation, feedback, and continuous learning
✅ Organize knowledge-sharing sessions and community-building initiatives
✅ Conduct 1:1s, performance reviews, and support career development plans
✅ Ensure team alignment with product goals and stakeholder expectations
✅ Promote craftsmanship, psychological safety, and technical excellence
🔹 Technical Delivery (40%)
✅ Improve and maintain automation scripts using Ansible
✅ Support the CI/CD pipelines with Azure DevOps
✅ Investigate and patch vulnerabilities across Big Data stacks
✅ Contribute to future-proofing the platform with managed service offerings
✅ Collaborate on infrastructure changes (Hadoop, Spark, Hive, Knox, etc.)
✅ Help onboard and support internal consumers of the platform
Your qualifications
We’re looking for a technically hands-on manager with strong communication skills and a deep interest in Big Data and automation. You enjoy working in teams, leading by example, and improving both processes and people.Your Skills & Background
• 3+ years of experience in IT, ideally in a corporate or enterprise setting
• Bachelor’s degree (or equivalent) in Computer Science or related field
• Experience with Apache Hadoop, Hive, Spark, HBase (preferably Cloudera)
• Proficient in Ansible for infrastructure automation
• Skilled in building CI/CD pipelines using Azure DevOps
• Solid understanding of Linux systems (preferably RHEL)
• Strong communication and mentoring skills
• Curious, collaborative, customer-oriented mindset
• Fluent in English, both spoken and written
We offer a dynamic environment where engineering meets leadership, with plenty of room to grow professionally while delivering impactful data infrastructure solutions.
• Competitive base salary (commensurate with experience)
• 24–27 vacation days depending on contract
• 13th month salary
• 8% holiday allowance
• Pension scheme
• Individual Savings Contribution (BIS): 3.5% of gross annual salary
• Hybrid working model (office/home flexibility)
• Strong focus on personal growth, learning, and innovation
• Informal, inclusive, and forward-thinking team culture
Do you already see yourself working here? I'd love to invite you for a cup of coffee!
Apply now
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