Scientist, Large Libraries

Ore Energy

THE ROLE At Ore Energy, we are on a mission to fundamentally expand the amount of energy society can reliably harness and use, helping move civilization toward a more abundant energy future. We are doing this by developing long-duration, utility-scale iron-air batteries that provide safe, low-cost, multi-day energy storage for electricity grids and data centers. As we move from breakthrough technology pilots toward large-scale industrial implementation and scalable production, our team is growing rapidly. We are looking for an experienced, proactive, and human-centric People & Culture Partner to join our team in Amsterdam and own our internal people operations. Working closely with leadership and our dedicated Talent Acquisition Partner, you will take full ownership of the employee journey after a candidate signs their offer letter. Blending high-level HR strategy with hands-on compliance and day-to-day execution, you will design the people playbook from the ground up as we prepare to scale our physical footprint. This role reports directly to the Chief Operating Officer (COO). KEY RESPONSIBILITIES * Employee Lifecycle Ownership: Design, scale, and execute all internal HR operations from day-one onboarding, relocation logistics, and contract management to offboarding. * Dutch Labor Law & CAO Compliance: Act as the internal expert on Dutch employment law (Arbeidsrecht) and sick-leave protocols (Wet Verbetering Poortwachter). Assess, implement, and maintain compliance with relevant Collective Labor Agreements (CAOs) as we scale our industrial workforce. * Culture & Engagement: Champion Ore Energy’s values, developing targeted initiatives that foster collaboration, psychological safety, and a high-performance culture across our international team. * Performance & Career Development: Implement and facilitate structured performance management systems, continuous feedback loops, and internal career development pathways. * Comp & Benefits Administration: Oversee local payroll inputs, health insurance administration, the Dutch 30% ruling applications, and the future rollout of critical company benefits (including our upcoming pension scheme). * Leadership Advisory: Act as a strategic sparring partner for line managers and executive leadership, providing clear guidance on team design, employee relations, and conflict resolution. YOUR PROFILE * Experience: 5+ years of progressive HR experience within a fast-growing scale-up, startup, or dynamic industrial/tech environment, ideally with experience leading or owning the local HR function. * Legal & CAO Expertise: Deep, practical knowledge of Dutch labor law (Arbeidsrecht), sick-leave protocols (Poortwachter), local compliance standards, and Dutch collective labor frameworks (CAOs). * Scale-Up Mindset: Highly comfortable with ambiguity and shifting priorities. You enjoy switching seamlessly between high-level organizational planning and granular administrative tasks. * Linguistic Skills: Professional fluency in both Dutch and English (written and spoken) is an absolute requirement to effectively navigate local legal frameworks and support our highly international team. * Collaboration Style: Exceptional communication and listening skills. You know how to build trust quickly across a multidisciplinary team of engineers, scientists, and commercial professionals.

Adyen

This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition.  For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. Sitting at the intersection of Data Engineering, Backend Engineering, and Systems Engineering, Data Platform Engineers at Adyen build the foundational layer of tooling and processes for our on-premise Big Data Platforms. These tools support 10s of products, 100s of developers, and 1000s of daily jobs that add to Adyen’s strong portfolio of capabilities. You’ll collaborate with data engineers and ML scientists and engineers to build and roll-out these tools. Along with DataOps Engineers, you’ll develop and operate multiple big data platforms, of which the biggest is 500+ nodes, with 25k+ CPU cores, 240+ TBs of RAM, and 23+ PBs of storage capacity, running tens of thousands of spark jobs a day. YOUR FOCUS AREAS We are currently expanding our platform capabilities. Depending on your expertise, your immediate focus will be driving one of these two key ecosystems: * The OLAP Ecosystem: Scaling and optimizing our real-time analytical powerhouses (Druid, FastAPI, Java, Kafka). * The Data Engineering Ecosystem: Designing and building data contracts, validation frameworks, optimization tooling, and robust Kafka ingestion pipelines. WHAT YOU’LL DO You will balance building innovative new tools from scratch with relentlessly improving our existing infrastructure. This role is a perfect fit if you are passionate about: * Scale: Developing and maintaining high-performance, distributed big data platforms. * Distributed Systems: Working deeply with various flavors of databases, filesystems, and compute engines. * Data Quality & Discoverability: Building tools that enhance metadata collection, data lineage, and platform-wide data quality. * CI/CD & Infrastructure: Optimizing continuous release/deployment environments within a large-scale private cloud system. * Streaming: Developing stream processing applications and frameworks to reduce time-to-insight for analysts and data scientists. WHO YOU ARE * Python or Java Expert: 6+ years of experience with object-oriented programming. * Collaborative Enabler: A strong communicator who thrives on building bridges between the teams you enable (analysts, data scientists) and the teams you depend on (infrastructure, security). * Distributed Systems Architect: Proven experience developing and maintaining: * Distributed compute/data systems (e.g., Spark, Trino, Druid, ClickHouse). * Real-time and batch pipelines (Kafka, Spark Streaming) with a focus on user-friendliness and reliability. DevOps pipelines and data modeling tooling. Our Diversity, Equity and Inclusion commitments  Our unique approach is a product of our diverse perspectives. This diversity of backgrounds and cultures is essential in helping us maintain our momentum. Our business and technical challenges are unique, and we need as many different voices as possible to join us in solving them - voices like yours. No matter who you are or where you’re from, we welcome you to be your true self at Adyen.  Studies show that women and members of underrepresented communities apply for jobs only if they meet 100% of the qualifications. Does this sound like you? If so, Adyen encourages you to reconsider and apply. We look forward to your application! What’s next? Ensuring a smooth and enjoyable candidate experience is critical for us. We aim to get back to you regarding your application within 5 business days. Our interview process tends to take about 4 weeks to complete, but may fluctuate depending on the role. Learn more about our hiring process here. Don’t be afraid to let us know if you need more flexibility. This role is based out of our Amsterdam office. We are an office-first company and value in-person collaboration; we do not offer remote-only roles.

Adyen

This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition.  For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. Sitting at the intersection of Data Engineering, Backend Engineering, and Systems Engineering, Data Platform Engineers at Adyen build the foundational layer of tooling and processes for our on-premise Big Data Platforms. These tools support 10s of products, 100s of developers, and 1000s of daily jobs that add to Adyen’s strong portfolio of capabilities. You’ll collaborate with data engineers and ML scientists and engineers to build and roll-out these tools. Along with DataOps Engineers, you’ll develop and operate multiple big data platforms, of which the biggest is 500+ nodes, with 25k+ CPU cores, 240+ TBs of RAM, and 23+ PBs of storage capacity, running tens of thousands of spark jobs a day. What you’ll do You’ll be asked to both build new tools and improve the existing tooling. This role is perfect for you if you're passionate about few of the following: * Develop and maintain scalable and high performance big data platforms. * Work with distributed systems in all shapes and flavors (databases, filesystems, compute, etc.) * Identify opportunities to improve continuous release and deployment environments * Build or deploy tools to enhance data discoverability through the collection and presentation of metadata * Introduce and extend tools to enhance the quality of our data, platform-wide * Explore and introduce technologies and practices to reduce the time to insight for analysts and data scientists * Develop streaming processing applications and frameworks * Experience in infrastructure and large-scale private cloud systems Who you are * At least 6+ years experience with Python object oriented programming.  * Team player with strong communication skills * Ability to work closely with diverse stakeholders you enable (analysts, data scientists, data engineers, etc.) and depend upon (infrastructure, security, etc). * Experience developing and maintaining: * Distributed data and compute systems like Spark, Trino, Druid, etc * Data modelling tooling  * DevOps pipelines and development ecosystems. * Real-time and batch data pipelines (via Kafka, Spark streaming) with an eye for frameworks, and emphasis on user friendliness and quality. * Kubernetes ecosystem (k8s, docker), and/or Hadoop ecosystems (Hive, Yarn, HDFS, Kerberos). Our Diversity, Equity and Inclusion commitments  Our unique approach is a product of our diverse perspectives. This diversity of backgrounds and cultures is essential in helping us maintain our momentum. Our business and technical challenges are unique, and we need as many different voices as possible to join us in solving them - voices like yours. No matter who you are or where you’re from, we welcome you to be your true self at Adyen.  Studies show that women and members of underrepresented communities apply for jobs only if they meet 100% of the qualifications. Does this sound like you? If so, Adyen encourages you to reconsider and apply. We look forward to your application! What’s next? Ensuring a smooth and enjoyable candidate experience is critical for us. We aim to get back to you regarding your application within 5 business days. Our interview process tends to take about 4 weeks to complete, but may fluctuate depending on the role. Learn more about our hiring process here. Don’t be afraid to let us know if you need more flexibility. This role is based out of our Amsterdam office. We are an office-first company and value in-person collaboration; we do not offer remote-only roles.