Cloud Data Platform Engineer
Cloud Data Platform Engineer
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Ready to design and build the data platforms of tomorrow, powerful, scalable, and future-proof!?
Help organizations turn data into real, secure, and scalable value.
Data is the new oil but only if it’s refined into something usable. Enterprises in sectors like financial services, healthcare, automotive and high-tech face massive challenges:
- How do you build scalable, secure data platforms in complex hybrid and multi-cloud environments?
- How do you balance agility, compliance, and governance in fast-moving data ecosystems?
- How do you embed automation and observability into data pipelines?
- How do you unify open-source and Microsoft technologies into one coherent data landscape?
As a Cloud Data Platform Engineer, you are not a code-only builder, but a T-shaped consultant with vision and versatility. You move confidently across infrastructure, pipelines, governance, and operations and bridge the gap between data architecture, DevOps, compliance, and analytics. You’ll land in a greenfield environment with lots of autonomy, where you’ll pioneer, innovate, and shape the future of data platforms from the ground up. What will you do? As a Cloud Data Platform Engineer, you’ll design and implement modern data platforms using both open-source and Microsoft-based technologies. You work on scalable, secure and automated data pipelines with a strong focus on cloud infrastructure, pipeline orchestration, and data governance. You’ll advise clients at a strategic level while also contributing hands-on to robust, production ready solutions.
You will be employed by YER and seconded to our client. We offer:
- Good employee benefits
- Challenging assignments
- Excellent guidance from your consultant and YER's back office
- Development opportunities, including the YER Talent Development Programme with a personal coach
- Intensive support for international candidates (including Dutch lessons, tax-return and accommodation assistance)
- Cooperative and results and relationship-driven
- Friendly atmosphere and open culture
- Community/network with other technology professionals from a variety of multinationals
- Events and master classes with interesting speakers and attractive companies
What do you bring?
You are a builder with a strategist’s mindset. You move fluently between data infrastructure, tooling, and stakeholder conversations. Whether you’ve got five or fifteen years of experience, your ability to combine vision with hands-on execution is what makes the difference. You understand the full data lifecycle from ingestion and transformation to governance, monitoring and access and help embed best practices for future-ready platforms. Your experience likely touches these areas:
Cloud-native Data Engineering
You design platforms that scale whether in GCP, Azure or hybrid environments. You understand the strengths of services like Synapse, Data Factory, and Databricks and combine them with open-source tools like Airflow, Kafka, Hadoop or Spark. You make thoughtful tradeoffs between performance, cost, flexibility and maintainability. Infrastructure as Code & Platform Automation
You don’t just write pipelines you build the platform that powers them. With tools like Terraform, Kubernetes and Helm, you automate everything from provisioning to deployment. You think in reusable templates and CI/CD pipelines, and know how to make platforms resilient and observable by design.
Streaming & Batch Processing
You’re comfortable working with both real-time and batch-oriented architectures. Whether implementing Kafka for event-driven streaming or designing lakehouse architectures with Delta Lake or BigQuery you understand when and how to apply the right paradigm.
Data Governance & Security
You take data governance seriously not as a checkbox, but as an enabler. You help organizations implement lineage, access control, auditing and classification tools from Collibra to Purview in ways that empower business users and satisfy compliance requirements like GDPR or NIS2.
Python, SQL & Scripting
You write clean, reusable code in languages like Python, PySpark and SQL. You use scripting and automation to streamline workflows, manage environments, and validate data pipelines. Whether you're configuring a DAG, building a REST API, or writing data validation logic you balance code quality with delivery speed.
Communication & Stakeholder Management
Data is a business enabler but only if stakeholders understand what’s happening under the hood. You make technical concepts accessible, and know how to engage engineers, analysts, data stewards and executives alike. You advocate for best practices and enable others to build on the platform you create.
Certifications & Experience (nice to have)
We’re looking for someone with multiple years of relevant experience in cloud and hybrid data platform environments. Certifications such as DP-203, GCP Professional Data Engineer, CKAD, or CDP are a plus but not a must. What really counts: your ability to think cross-domain, design resilient systems, and bring people, policy, and pipelines together
Zo verloopt een succesvolle sollicitatie:
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