Senior Data Engineer (Candidates Based in the Netherlands)

Are you a Data Engineer who thrives on building robust, scalable, and secure data platforms in the cloud? Join the Data Chapter at Wypoon Technologies, where we match top-tier engineering talent with impactful opportunities across the Netherlands. You’ll help design and deliver end-to-end data solutions for leading organizations, working with cutting-edge technologies across GCP. From building real-time streaming pipelines to implementing modern lakehouse architectures, your expertise will directly contribute to data-driven innovation in sectors like finance, ecommerce, energy, logistics, and technology. Whether you’re passionate about big data processing, cloud infrastructure, or data automation, our goal is to connect you with projects that match your skills and ambitions. Why Join Us? At Wypoon Technologies, you’ll work on dynamic projects for industry leaders such as Heineken, ING, ASML, Philips, and Shell, tackling exciting challenges and delivering tailored enterprise solutions. Here’s what makes us stand out: Impactful Work: Shape the future of our clients’ digital landscapes. Innovative Environment: Collaborate within a supportive team that values learning and growth. State-of-the-art technology: Access the latest tools and platforms. Key Responsibilities

• Design, build, and maintain scalable real-time data pipelines and event streaming solutions using Apache Kafka, Apache Spark, and GCP.
• Develop event refinement, transformation, and event combination solutions to support multiple operational business use cases.
• Build and optimize streaming applications using Java and/or Scala, with a focus on Apache Spark Structured Streaming.
• Contribute to the modernization of legacy SQL/SSRS reporting systems, migrating operational reporting to a modern real-time data platform.
• Develop and enhance real-time monitoring and reporting solutions, taking projects from Proof of Concept (PoC) to production-ready MVP.
• Design scalable data architectures and ensure reliable integration between streaming platforms, NoSQL databases, and cloud services.
• Develop clean, maintainable, well-tested, and documented code following strong engineering practices.
• Collaborate with engineering teams and business stakeholders, independently taking ownership of technical solutions in a complex enterprise environment.

• Medior/Senior-level Data Engineering experience, with a strong focus on real-time data processing and event-driven architectures.
• Strong programming skills in Java and/or Scala.
• Hands-on production experience with Apache Spark, particularly Structured Streaming.
• Strong experience with Apache Kafka, including topics, producers, consumers, and streaming pipelines.
• Hands-on experience with Google Cloud Platform (GCP).
• Experience working with NoSQL databases.
• Strong understanding of real-time data processing, event transformation, data integration, and scalable data architectures.
• Experience developing reliable, production-grade data pipelines with appropriate testing, monitoring, and documentation.
• Ability to work independently, solve complex technical challenges, and take end-to-end ownership of solutions.
• Strong communication skills and the ability to collaborate with technical and business stakeholders, even with limited business support.

• Competitive Compensation: Salary tailored to your skills and experience.
• Generous Time Off: 25 paid vacation days (based on a 40-hour work week).
• Tax Benefits: Eligibility for the 30% ruling.
• Travel Reimbursement: We’ve got your daily commute covered.
• Top-Notch Equipment: A high-quality device to ensure you work efficiently.
• Professional Development: Financial support for certifications, technical training, and language courses-because we value your long-term career growth.
• Comprehensive Relocation Assistance: Extensive support to help you settle in smoothly.
• Community & Fun: Enjoy team events and connect with developers from around the globe!