dev ops engineer

Hi Tech-IT

<div>
 
 
 DevOps Engineer
 
 
 
 Bouw mee aan innovatieve IT-oplossingen
 
 
 Ben jij een DevOps Engineer die graag software ontwikkelt &eacute;n infrastructuur automatiseert? Werk je graag met moderne technologie&euml;n en wil je een belangrijke rol spelen in het ontwikkelen van schaalbare en betrouwbare oplossingen? Dan is dit een functie waarin je veel technische uitdaging en vrijheid vindt.
 
 
 Wat ga je doen?
 
 
 Als DevOps Engineer werk je binnen een multidisciplinair team aan de ontwikkeling en verbetering van software die wordt ingezet binnen complexe IT-omgevingen. Je bent betrokken bij het volledige ontwikkelproces: van ontwerp en implementatie tot automatisering en optimalisatie.
 
 
 
 
 
 Je werkzaamheden bestaan onder andere uit:
 
 <ul>
 <li>
 Ontwikkelen van backend applicaties en API's.
 </li>
 <li>
 Bouwen en verbeteren van CI/CD pipelines.
 </li>
 <li>
 Automatiseren van deployment- en beheerprocessen.
 </li>
 <li>
 Werken met containers en cloud-native technologie&euml;n.
 </li>
 <li>
 Integreren van verschillende systemen en platformen.
 </li>
 <li>
 Optimaliseren van prestaties, stabiliteit en schaalbaarheid.
 </li>
 <li>
 Samenwerken met softwareontwikkelaars, cloud engineers en infrastructuurspecialisten.
 </li>
 <li>
 Actief meedenken over technische verbeteringen en nieuwe oplossingen.
 </li>
 </ul>
 
 
 
 
 Wat neem je mee?
 
 <ul>
 <li>
 HBO- of WO-werk- en denkniveau.
 </li>
 <li>
 Ervaring met softwareontwikkeling, bij voorkeur in Python, Go of Java.
 </li>
 <li>
 Ervaring met Git en CI/CD tooling.
 </li>
 <li>
 Goede kennis van Linux.
 </li>
 <li>
 Ervaring met Docker en Kubernetes.
 </li>
 <li>
 Kennis van Infrastructure as Code, zoals Terraform of Ansible, is een pr&eacute;.
 </li>
 <li>
 Je bent analytisch, zelfstandig en houdt van technische uitdagingen.
 </li>
 <li>
 Goede beheersing van de Nederlandse taal.
 </li>
 </ul>
 
 
 
 
 Wat krijg je ervoor terug?
 
 <ul>
 <li>
 Een uitstekend salaris afhankelijk van jouw kennis en ervaring.
 </li>
 <li>
 Leaseauto of mobiliteitsbudget.
 </li>
 <li>
 Hybride werken met veel flexibiliteit.
 </li>
 <li>
 Laptop en telefoon van de zaak.
 </li>
 <li>
 Uitstekende pensioenregeling.
 </li>
 <li>
 Opleidingsbudget en volop certificeringsmogelijkheden.
 </li>
 <li>
 Werken met de nieuwste technologie&euml;n binnen uitdagende projecten.
 </li>
 <li>
 Veel ruimte voor eigen initiatief en persoonlijke ontwikkeling.
 </li>
 <li>
 Een informele organisatie met korte lijnen en een collegiale werksfeer.
 </li>
 </ul>
 
 
 
 
 Waarom deze functie?
 
 
 Je komt terecht in een technisch gedreven organisatie waar innovatie, automatisering en kwaliteit centraal staan. Je krijgt veel verantwoordelijkheid, werkt met moderne tooling en hebt alle ruimte om jezelf verder te ontwikkelen als DevOps Engineer.
 
 
 Interesse? Neem contact op voor meer informatie of solliciteer direct.
 
</div>

DevOps Engineer

Tribe28

<div>
 
 We are seeking a DevOps engineer who specializes in the integration and automation of software development and IT operations. As a DevOps engineer, you work to streamline the software delivery process, from development to deployment, by utilizing various tools and methodologies that help to automate and optimize workflows.
 
 
 
 
 
 Your primary responsibility is to facilitate collaboration between development and operations teams. You will use your expertise in software development, system administration, and automation to build and maintain automated systems that can deploy, manage, and monitor software applications in production environments.
 
 
 
 
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 Design, create, own, and maintain systems and service deployments
 </li>
 <li>
 Continuously improve infrastructure for better scalability, security, and
 </li>
 </ul>
 
 fault tolerance
 
 <ul>
 <li>
 Integrate DevOps methodology into development, deployment, and
 </li>
 </ul>
 
 operations lifecycle
 
 <ul>
 <li>
 Create super clean, well-structured, efficient deployment, monitoring, and
 </li>
 </ul>
 
 application management scripts
 
 <ul>
 <li>
 Enable rapid deployment of new product features with the necessary
 </li>
 </ul>
 
 safeguards to maintain stability, high availability, and performance
 
 <ul>
 <li>
 Optimize infrastructure and phase out legacy systems.
 </li>
 <li>
 Monitor and proactively troubleshoot cloud and infra resources.
 </li>
 <li>
 Share your knowledge with regular knowledge-sharing sessions
 </li>
 <li>
 Clear documentation of your work.
 </li>
 <li>
 Keep application compliance with IT risk policies
 </li>
 <li>
 Maintain access matrix
 </li>
 </ul>
 
 
 
 
 
 Requirements:
 
 
 <ul>
 <li>
 Strong experience managing, maintaining, and automating infrastructure (IaC)
 </li>
 <li>
 Proficient in at least one higher-order scripting language (e.g. Python)
 </li>
 <li>
 Strong experience in Container technologies.
 </li>
 <li>
 Strong experience with Container Orchestration tools. (OpenShift, Kubernetes)
 </li>
 <li>
 Strong experience automating the integration and deployment of
 </li>
 </ul>
 
 software (preferably via Azure Devops)
 
 <ul>
 <li>
 Strong experience using logging and monitoring tools to improve observability
 </li>
 </ul>
 
 across systems (e.g.(Grafana, Kibana, Prometheus, Collected)
 
 <ul>
 <li>
 Experience with ansible and/or other configuration management systems.
 </li>
 <li>
 Experience with Databases (e.g. Oracle, Mssql).
 </li>
 <li>
 Experience with Cloud (Azure, AWS).
 </li>
 <li>
 Experience with Linux
 </li>
 </ul>
 
 
 
 
 Tribe28 offers a competitive salary and a dynamic work environment that fosters growth and creativity. Join this team if you want to be a part of something big. We are not just looking for an employee, we&rsquo;re looking for a problem solver and an innovator but mostly a collaborator. If you have a passion for IT and enjoy working on challenging projects that can and will inspire you, apply now and make something amazing!
 
</div>

Canyon Bicycles GmbH

We are a community open to everyone. One global team where everyone counts.
 
Join the Canyon team and work at the cutting edge of the bike industry, with a job as versatile and exciting as the bikes we develop. All in an open, international atmosphere where teamwork, collaboration, true innovation, and a dynamic workplace are all part of our everyday. Ready to ride with us?
 
Stellenbeschreibung
 
THE ROLE
 
As a direct-to-consumer e-commerce company, our digital products are part of the Canyon DNA and a key factor in delivering our brand experience to our customers. We're looking for a DevOps Engineer (m/f/d) who owns the infrastructure behind our apps — including our Backend for Frontend architecture in Azure — and the deployment processes that ship them. You will act as an important interface between our various digital products, and you'll value active contribution and the continuous optimisation of existing processes to improve ourselves as a team and, above all, our solutions.
 
This role can be hired in Koblenz, Amsterdam or Barcelona.
 
YOUR JOB AS PART OF THE CANYON CREW
 
In your first months: 
Infrastructure Provisioning
 
: Provision, set up, and operate the infrastructure for our apps, including our Backend for Frontend architecture in Azure.
 
CI/CD Optimization
 
: Maintain and improve our Continuous Integration (CI) and Continuous Delivery (CD) tooling.
 
Process Automation
 
: Automate build, deployment, and release processes to make shipping safe and repeatable.
 
Infrastructure as Code (IaC)
 
: Manage infrastructure as code with Terraform across our Azure environments.
 
As you grow into the role: 
Strategic Infrastructure Ownership
 
: Own the strategy, provisioning, and administration of the infrastructure behind our deployment, monitoring, and test automation processes.
 
Platform Development
 
: Continuously develop and optimise our processes and software platforms.
 
Interface Management
 
: Act as the interface between app development and our e-commerce and CRM systems.
 
Observability & Operational Readiness
 
: Strengthen observability and operational readiness through structured monitoring, logging, and alerting.
 
Reliability Engineering
 
: Improve reliability through automation, reducing manual operational toil.
 
Technical Environment
 
We build and operate our platforms on Azure and automate everything we can. Specific experience with these tools is a plus, but strong fundamentals matter most.
 
Cloud & Infrastructure
 
Microsoft Azure
 
Infrastructure as Code with Terraform
 
Backend for Frontend architecture in Azure
 
Server systems (Windows, Mac, Linux)
 
CI/CD & Automation
 
Continuous Integration and Continuous Delivery pipelines
 
Automated build, deployment, and release processes
 
DevOps tooling (e.g. Azure DevOps, Bitbucket)
 
Scripting (e.g. Java, JavaScript, Python, Ruby)
 
Observability & Operations
 
Monitoring, structured logging, and alerting (Grafana Cloud)
 
Test automation infrastructure
 
HOW YOU BECOME PART OF THE RACE
 
At least three years of professional experience in a DevOps, infrastructure, or platform role
 
Solid knowledge of scripting languages
 
Strong knowledge of MS Azure and hands-on experience with Terraform
 
Experience with DevOps tooling
 
Knowledge of various server systems
 
Familiarity with agile methodologies in your day-to-day work
 
A self-driven, independent working style combined with strong professional communication within and beyond your team
 
Excellent written and spoken English
 
A completed degree in computer science, business informatics (or a comparable field), or a vocational qualification in IT
 
Nice to Have
 
Experience supporting e-commerce and CRM systems
 
Containerisation and orchestration experience
 
Cost-awareness and performance optimisation in cloud environments
 
Comfort working with AI-assisted development tools (e.g. Codex, Claude, or similar agentic coding environments)
 
Interest in connected products or the cycling domain
 
HIGHLIGHTS ON YOUR CANYON TOUR
 
The Canyon Crew & Culture: 
Combine energy and transparency in a global team. We promote a strong feedback culture, unique Canyon events, and inspiring crew rides. Your voice matters in creating an inclusive workplace where well-being is a priority.
 
Feel Canyon (Product Perks): 
Unlock your passion for cycling! Enjoy exclusive discounts on bikes, gear, and apparel as part of our commitment to fueling your journey.
 
Compensation & Rewards: 
Experience a rewarding career with a competitive market-based salary and generous paid time off. Your satisfaction is our priority.
 
Life-Work Integration: 
Join us for a career that prioritizes balance through flexible and hybrid work options in a family-friendly environment.
 
Impact & Development: 
Shape the future of mobility. We offer diverse career paths across operational, strategic, creative, or technical roles, where innovation and sustainability consistently challenge and inspire you.

DevOps ENGINEER (M/F/D)

<div><ul><li>REQ-10111850</li>
<li>30/06/2026</li>
<li>IT Engineering</li>
<li>Amsterdam, Netherlands</li>
<li>&euro;5.677 - &euro;9.137</li>
<li>ING Bank</li></ul> 
 
<div> Save for Later
</div><div><div><div><div><div><div>This position has been reopened. Original posting date: 21-04-2026</div>
Are you passionate about software engineering and systems integration, and ready to take on a leadership role in the ever-evolving IT banking landscape? At ING we are in a dynamic and intensive journey to further digitalize the bank. As one of the IT Chapter Leads at Working Capital Solutions (WCS), you will play a pivotal role in modernizing our in house developed applications, our integration layer, and the services we provide. The WCS business is active globally and has a very solid market presence. We are directly contributing to making it even better.
This vacancy is based in Amsterdam. Daily work involves cross-team and cross-country collaborations. We are part of the ING&rsquo;s Wholesale Banking Tech Transaction Services organization.
The team
We are responsible for the design, modification and maintenance of the software solutions used to process receivables finance and supply chain finance deals. Our applications range from in-house developed channels, a modern integration layer, SaaS solutions and a couple of legacy applications. The integration layer is event-based and central to supporting digitalized customer journeys, enabling straight-through processing by connecting channels, backend services and other applications in our IT landscape.
You will lead a chapter of Dev engineers and DevOps engineers working across a couple of squads, as well as work as senior engineer. You and your chapter members must demonstrate the mature technical capabilities on the following areas:
<ul><li>Back-end and API development using Java SpringBoot.</li>
<li>Develop event-based integration components using Java SpringBoot, Kafka, Apache Camel, and Json.</li>
<li>Front-end development in JavaScript and Lit-Element (web components).</li>
<li>Test automation with Junit, Karate/Cucumber, Gherkin and Gatling.</li>
<li>Overall automations for distributed systems running cloud-natively.</li>
<li>Data management skills for at-rest and in-transit data, including the underlying usage of data products.</li>
<li>Monitoring &amp; alerting using Grafana/Prometheus &amp; ELK.</li>
<li>CI/CD using Azure DevOps and backlog management on Azure Board.</li>
</ul>Roles and responsibilities
As IT Chapter Lead and Dev Engineer, you are a key player in the cooperation between engineers, customer journey experts, architects, business analysts and other stakeholders. Your main responsibilities in this position will involve:
<ul><li>Lead and manage a team of full stack engineers, providing mentorship, guidance, and technical expertise as needed.</li>
<li>Design, implement, and maintain robust IT solutions with a primary emphasis on reliability and security.</li>
<li>Develop and execute strategic plans, ensuring that engineering projects are delivered on time and with minimal to no technical debt.</li>
<li>Review and evaluate technical designs, providing feedback and guidance to ensure that designs meet product requirements and industry standards.</li>
<li>Participate in code reviews and technical discussions to maintain high-quality code and ensure that code aligns with product goals and industry standards.</li>
<li>Continuously monitor and evaluate team performance, identifying opportunities for improvement and implementing corrective actions as needed.</li>
<li>Implement and safeguard all mandatory standards to ensure IT Risk is within the risk appetite of the bank.</li>
<li>Ensure that engineering processes and practices are aligned with industry best practices and that the team is following established procedures and protocols.</li>
<li>Actively participate in training plans and help all engineers in the area to level their technical skills together with the rest of the engineering managers.</li>
<li>Stay up-to-date with industry trends and emerging technologies, identifying opportunities for innovation and improvement within the engineering team.</li>
</ul>How to succeed
We hire smart people like you for your potential. Our biggest expectation is that you&rsquo;ll stay curious. Keep learning. Take on responsibility. In return, we&rsquo;ll back you to develop into an even more awesome version of yourself. The profile we are looking for must have:
<ul><li>Bachelor's or Master's degree in Computer Science or in another engineering domain combined with strong IT background.</li>
<li>Minimum of 8 years of experience as software engineer, with at least 2 years of experience leading development teams/projects.</li>
<li>Strong technical background and expertise in software development methodologies, programming languages, and cloud-based infrastructure.</li>
<li>Experience with adopting software architecture design best practices, together with efficient usage of software verification &amp; validation techniques.</li>
<li>Ability to manage and motivate a team of Dev engineers and DevOps engineers.</li>
<li>Experience with agile methodologies and project management.</li>
<li>Proven track record of delivering high-quality software products on time.</li>
<li>Solid knowledge of databases, middleware and network technologies.</li>
<li>Excellent communication skills in English, being able to elaborate, write and present ideas clearly at different levels of abstraction.</li>
<li>Ability to challenge, influence and convince others through fact-based arguments.</li>
</ul>Rewards and benefits
 
We want to make sure that it&rsquo;s possible for you to strike the right balance between your career and your private life. Find out more about our employment conditions.( opens in new window) 
 
The benefits of working with us at ING include:
<ul><li>25-28 vacation days depending on contract</li>
<li>Pension scheme</li>
<li>13th month salary</li>
<li>8% Holiday payment</li>
<li>Hybrid working</li>
<li>Personal growth and challenging work with endless possibilities</li>
<li>An informal working environment with innovative colleagues</li> 
</ul> 
About us
 
Curious about how ING empowers people and businesses to move forward?
Discover what we do and what we can offer you( opens in new window).
Questions?
 
Contact the recruiter attached to the advertisement. Want to apply directly? Please upload your CV and motivation letter .
</div><div> Save for Later</div></div><div><ul>
</ul></div></div><div><div>
<div><h3 class="jobSectionHeader">Questions? Just ask
 
Elias Noya</h3><div></div><div> Save for Later
</div></div></div></div></div></div><div><div><div>ING&rsquo;s vision is to unlock our people&rsquo;s full potential through our inclusive culture where everyone has the opportunity to develop and have impact for our customers and society. To achieve this vision, our policies support diversity, equity, and inclusion. As an equal opportunity employer, we do not tolerate discrimination of any kind with regard to age, gender, gender identity, cultural background, experience, religion, race, ethnicity, disability, family responsibilities, sexual orientation, social origin, or any other status protected by applicable law. If you require any assistance or if we can accommodate you in any way when participating in our application and/or interview process, please email the recruiting contact listed for the relevant position. We will be happy to work with you to ensure a fair and accessible process. Read more about our commitment to diversity, inclusion and belonging here.</div></div></div></div>

Chapter Lead

kaiko.ai

<div>
 
 About Kaiko.ai
 
 
 
 Kaiko is building a next-generation agentic clinical AI assistant that helps clinicians reason across patient data, guidelines, and diagnostics.
 
 
 Healthcare decisions are rarely made by a single person or from a single data source. kaiko's assistant maintains longitudinal patient context across encounters, clinicians, and institutions, enabling collaboration, second opinions, and complex diagnostic workflows. The system is designed to operate safely in real clinical environments, with human oversight, auditability, and regulatory alignment at its core.
 
 
 Our assistant core supports broadly applicable clinical tasks such as patient data navigation, guideline interaction, multimodal interaction (chat and voice), and care coordination. On top of this foundation, we are developing specialized diagnostic agents in areas such as oncology, radiology, and pathology.
 
 
 We build in close collaboration with leading hospitals and research centers, including the Netherlands Cancer Institute (NKI). kaiko is a well-funded company with a growing international team, operating from Zurich and Amsterdam.
 
 
 
 About The Role
 
 
 
 As an ML Platform Engineer, you'll help architect, scale, and evolve the infrastructure that powers kaiko's foundation-model training and serving across the full ML lifecycle: from compute orchestration that runs large-scale training jobs, through experiment tracking and model registry, to GPU-backed serving in production.
 
 
 The Data &amp; AI Platform team owns the foundation underneath kaiko's training and serving workloads: the orchestration and distributed compute layer (Dagster + Ray on Kubernetes), the storage layer (Hammerspace), and the observability that keeps them reliable. We support both research, with large-scale training workloads on open-weight MoE models in the hundreds-of-billions to trillion-parameter range, and product, with the engineering teams building kaiko's clinical applications.
 
 
 Today, our platform is built around large-scale training. The next frontier is closing the loop: building the model lifecycle layer (experiment tracking, registry, versioning, and GPU-backed serving) that lets our trained models move reliably into product. You'll be part of the team that gets us there.
 
 
 You'll work closely with both research and product engineering to understand what the platform needs to deliver, and own the engineering of how. You'll contribute to the platform's evolution across both training and serving dimensions, helping translate team needs into reliable, scalable infrastructure.
 
 
 You will be based in either The Netherlands or Switzerland, with the expectation of spending at least 50% of your time at the office.
 
 
 
 Some areas of responsibility
 
 
 
 <ul>
 <li>
 Build and evolve the infrastructure that makes ML development fast, reliable, and observable: from IaC to CI/CD to Kubernetes-based workload orchestration.
 </li>
 <li>
 Contribute to the compute orchestration layer: help scale GPU workloads across heterogeneous on-prem and cloud clusters using Kubernetes, Ray, and advanced GPU scheduling technologies such as KAI-Scheduler.
 </li>
 <li>
 Support hybrid and multi-cloud strategies that balance performance, compliance, and cost, including the Hammerspace storage rollout.
 </li>
 <li>
 Own and evolve parts of the AI Factory: the Dagster-based orchestrator and its Ray integration that training jobs depend on.
 </li>
 <li>
 Build and maintain the model lifecycle layer: experiment tracking, model registry, versioning, and GPU-backed serving infrastructure, so models trained on our clusters move reliably into production.
 </li>
 <li>
 Partner with both research and product engineering to understand platform requirements and translate them into shared infrastructure that works across use cases.
 </li>
 <li>
 Bring engineering rigour to a fast-moving stack: lineage, reproducibility, ownership boundaries, and documentation that lets the team move quickly without losing track.
 
 
 </li>
 </ul>
 
 About You
 
 
 
 <ul>
 <li>
 2-5 years of experience in production ML platform engineering or ML Ops role.
 </li>
 <li>
 Hands-on experience with Kubernetes, Helm, Terraform, Docker, and CI/CD tooling (ArgoCD, GitHub Actions, or comparable). Comfortable with modern observability stacks (Grafana, Prometheus, Loki, or similar).
 </li>
 <li>
 Compute orchestration at scale. Production experience scheduling GPU workloads on Kubernetes, Ray, or comparable, or strong motivation to grow into this quickly.
 </li>
 <li>
 ML infrastructure exposure. Hands-on experience with Linux and NVIDIA GPU environments, including multi-node training stacks and the networking that connects them (InfiniBand or comparable). You have a feel for how researchers and engineers use the platform, not just how it's built.
 </li>
 <li>
 Familiarity with the full ML workflow: training runs, experiment tracking, model registry and versioning (MLflow or equivalent), and model serving. You understand how models move from training to production.
 </li>
 <li>
 Solid software engineering. Python as a baseline; openness to picking up Go or other programming languages where the platform demands it.
 </li>
 <li>
 Collaborative by default. You work across team boundaries (research, product, data engineering) and design interfaces that serve multiple stakeholders without requiring everyone to understand the underlying plumbing.
 
 
 </li>
 </ul>
 
 Nice to have:
 
 
 
 <ul>
 <li>
 Direct experience supporting large-scale foundation-model training or inference, with a working sense of how a run behaves from the platform's perspective: MFU, GPU utilisation, communication overhead, and dataloader stalls on the training side; serving frameworks (vLLM, Triton, TorchServe), KV cache management, and batching strategies on the inference side.
 </li>
 <li>
 Familiarity with lower-level GPU communication and I/O concepts: RDMA, GPUDirect Storage (GDS), GPUDirect RDMA, NCCL, and how these affect training throughput and cluster design.
 </li>
 <li>
 Experience with Kubernetes-native scheduling stacks for accelerator-heavy workloads, such as Volcano, KAI Scheduler, YuniKorn, or similar, so scheduler tradeoffs are understood rather than defaulted to.
 </li>
 <li>
 High performance (parallel) filesystems that feed GPU's with high throughput and low latency (Hammerspace, CEPH, WEKA, VAST).
 </li>
 <li>
 On-prem and hybrid GPU environments, especially in regulated settings (healthcare, finance, public sector).
 </li>
 <li>
 Exposure to MoE architectures or large-scale distributed training, useful for anticipating what future workloads will demand of the platform.
 
 
 </li>
 </ul>
 We are excited to gather a broad range of perspectives in our team, as we believe it will help us build better products to support a broader set of people. If you&rsquo;re excited about us but don&rsquo;t fit every single qualification, we still encourage you to apply: we&rsquo;ve had incredible team members join us who didn&rsquo;t check every box!
 
 
 
 Why kaiko
 
 
 
 At kaiko, we believe the best ideas come from collaboration, ownership and ambition. We&rsquo;ve built a team of international experts where your work has direct impact. Here&rsquo;s what we value:
 
 
 <ul>
 <li>
 Ownership: You&rsquo;ll have the autonomy to set your own goals, make critical decisions, and see the direct impact of your work.
 </li>
 <li>
 Collaboration: You&rsquo;ll have to approach disagreement with curiosity, build on common ground and create solutions together.
 </li>
 <li>
 Ambition: You&rsquo;ll be surrounded by people who set high standards for themselves and others, who see obstacles as opportunities, and who are relentless in their work to create better outcomes for patients.
 
 
 </li>
 </ul>
 
 
 
 In addition, we offer:
 
 
 
 <ul>
 <li>
 An attractive and competitive salary, a good pension plan and 25 vacation days per year.
 </li>
 <li>
 Great offsites and team events to strengthen the team and celebrate successes together.
 </li>
 <li>
 A EUR 1000 learning and development budget to help you grow.
 </li>
 <li>
 Autonomy to do your work the way that works best for you, whether you have a kid or prefer early mornings.
 </li>
 <li>
 An annual commuting subsidy.
 
 
 </li>
 </ul>
 
 Our interview process
 
 
 
 Our interview process is designed to assess mutual fit across skills, motivation, and values. It typically includes the following steps:
 
 
 <ul>
 <li>
 Screening call: A short conversation to align on your motivation, career goals, and initial fit for the role.
 </li>
 <li>
 Coding assessment &amp; debrief: You'll complete a time-limited coding exercise, started at a time of your choosing. Afterwards, you'll join a live session with members of our team to walk through your solution, explain your reasoning, and discuss any trade-offs you made.
 </li>
 <li>
 Technical interview: A deep dive into your problem-solving approach through a technical challenge, case study, or role-specific scenario.
 </li>
 <li>
 Onsite meeting (optional): You&rsquo;ll meet team members across functions to explore collaboration dynamics, team fit, and day-to-day context.
 </li>
 <li>
 Final executive conversation: A discussion with a member of the executive team focused on long-term alignment, cultural fit, and shared expectations for impact.
 </li>
 </ul>
</div>

ML Platform Engineer

Xccelerated | Part of Xebia

<div>
 
 Data Engineer
 
 
 
 
 
 
 Location:
 
 Netherlands (hybrid)
 
 
 
 Language:
 
 English-speaking environment
 
 
 
 
 
 Are you a
 
 Data Engineer based in Europe
 
 who wants to take the next step in your career?
 
 
 Would you like to
 
 relocate to the Netherlands
 
 and work on a modern cloud-based data platform while accelerating your growth through structured, high-level training?
 
 
 
 
 
 At
 
 Xccelerated
 
 , we are looking for
 
 Medior Data Engineers
 
 to help build a
 
 state-of-the-art data platform on Google Cloud Platform (GCP)
 
 . You&rsquo;ll work alongside experienced consultants and follow an intensive training program designed to rapidly strengthen your technical and professional skills.
 
 
 
 
 
 💡 Why join Xccelerated?
 
 <ul>
 <li>
 Build a
 
 modern data platform from scratch
 
 on Google Cloud Platform
 </li>
 <li>
 Work on real client projects while continuously improving your skills
 </li>
 <li>
 Receive
 
 60+ days of structured technical training
 
 led by experienced Tech Leads
 </li>
 <li>
 Collaborate with international engineering and analytics teams
 </li>
 <li>
 After one year, transition to a
 
 direct contract with the client organization
 
 </li>
 </ul>
 
 
 
 
 🚀 Your role as a Data Engineer
 
 
 As a Data Engineer at Xccelerated, you will help lay the foundation for data-driven decision making.
 
 
 You will:
 
 <ul>
 <li>
 Design, build and maintain
 
 scalable data pipelines
 
 on GCP
 </li>
 <li>
 Develop components of a modern data platform supporting analytics and machine learning use cases
 </li>
 <li>
 Ensure reliable integration between data sources, pipelines and data models
 </li>
 <li>
 Work closely with engineering, analytics and cloud teams on architecture and implementation
 </li>
 <li>
 Continuously improve data quality, reliability and performance
 </li>
 </ul>
 
 
 
 
 👩 💻 Who we&rsquo;re looking for
 
 
 You&rsquo;re a hands-on engineer who enjoys learning by doing and working on meaningful data challenges.
 
 
 You bring:
 
 <ul>
 <li>
 A Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data, Cloud or a related field
 </li>
 <li>
 
 3&ndash;4 years of experience
 
 as a Data Engineer (or similar role)
 </li>
 <li>
 Strong skills in
 
 Python
 
 and
 
 SQL
 
 </li>
 <li>
 Experience with at least one public cloud:
 
 GCP, AWS or Azure
 
 </li>
 <li>
 Familiarity with modern data tools such as
 
 Spark, Databricks or Airflow
 
 </li>
 <li>
 A proactive mindset and willingness to
 
 relocate to the Netherlands
 
 </li>
 </ul>
 
 
 
 
 🎁 What we offer
 
 
 At Xccelerated, we offer more than just a job &mdash; we offer a
 
 career accelerator in Data &amp; Cloud
 
 .
 
 <ul>
 <li>
 Competitive salary based on experience
 </li>
 <li>
 
 Relocation support
 
 for candidates moving to the Netherlands
 </li>
 <li>
 25 vacation days
 </li>
 <li>
 Intensive onboarding with a hands-on technical bootcamp
 </li>
 <li>
 Weekly technical training, mentoring and innovation days
 </li>
 <li>
 Company laptop and modern tooling
 </li>
 <li>
 Great lunches, excellent coffee and a well-stocked snack bar
 </li>
 <li>
 Hybrid working model and an international team
 </li>
 </ul>
 
 
 
 
 🌍 About Xccelerated
 
 
 Xccelerated (part of the
 
 Xebia Group
 
 ) is a tech accelerator focused on developing the next generation of Data &amp; Cloud professionals.
 
 
 You&rsquo;ll work
 
 four days per week
 
 on real client projects and spend
 
 one day per week
 
 on structured training, coaching and innovation. After one year, you&rsquo;ll have the opportunity to join one of our partner companies directly.
 
 
 
 
 
 📩 Interested in relocating to the Netherlands?
 
 
 We&rsquo;d love to hear from you.
 
 
 📧 Contact:
 
 Samantha Goncalves
 
 &ndash; sgoncalves@xccelerated.io
 
 
 📞 Phone: +31 6 13889770
 
 
 
 
 
 📋 Application process
 
 <ol>
 <li>
 Introductory interview with one of our recruiters
 </li>
 <li>
 Technical assessment &amp; presentation with one of our Tech Leads (remote)
 </li>
 </ol>
 
 We aim to complete the process within
 
 1&ndash;3 weeks
 
 , depending on availability.
 
</div>

Data Engineer (Relocation to the Netherlands)

Pancompany

<div>
 
 
 Wat ga je doen.
 
 
 
 Organisaties zitten boordevol data. Jij bedenkt, ontwerpt en ontwikkelt als (Big) Data Engineer technische oplossingen voor ongestructureerde data vanuit de databron. Zodat deze data kan worden omgezet naar informatie, door bijvoorbeeld een dashboard te bouwen of door een grondige data-analyse te maken. Jouw werk heeft dus grote impact! Je draagt als Data Engineer direct bij aan de bestuurbaarheid en onderbouwing van de beslissingen die CEO&rsquo;s en managementteams dagelijks nemen.
 
 
 
 
 
 Door jouw ervaring met softwareontwikkeling en data-infrastructuur ben je van meerwaarde voor iedere klant. Je werkt graag samen met data scientists om de door hen getrainde machine learning modellen in de praktijk tot een succes te maken. Daarnaast haal je jouw plezier uit het zo effici&euml;nt en effectief mogelijk inrichten van de streaming data pipelines van onze klanten.
 
 
 
 
 
 Als Data Engineer begrijp je het belang van realtime kennis en zoek je dus zelfstandig naar mogelijke oplossingen voor de uitdagingen van onze klanten en werk je deze oplossingen uit. De technische rol die jij vertolkt helpt de klant bij de vertaling van hun probleem naar een oplossing door van het gebruik van de juiste Tech-stack.
 
 
 
 
 
 Je werkt voor grote bedrijven zoals de Nederlandse overheid en top-200 bedrijven. En dat biedt jou de unieke kans om op grote schaal impact te maken. De complexiteit en omvang van de data bij deze bedrijven bieden uitdagende mogelijkheden voor een Data Engineer. Je bent betrokken bij projecten die de koers van deze bedrijven be&iuml;nvloeden en de besluitvorming van CEO&rsquo;s en managementteams ondersteunen, waardoor je bijdraagt aan hun succes en groei.
 
 
 
 
 
 Jij wil de beste zijn in je werk en werken met de nieuwste technieken. Van ons krijg je dus alle ruimte om je te blijven ontwikkelen en deel te nemen aan trainingen, cursussen en seminars. Ben jij de Data Engineer die onze community komt versterken?
 
 
 
 
 
 
 Wij bieden.
 
 
 <ul>
 <li>
 
 Salaris
 
 . Een onvoorwaardelijk en gegarandeerd basisinkomen, wat jou zekerheid geeft.
 </li>
 <li>
 
 Provisie
 
 . Naast het basissalaris deel je mee in de omzet met ons
 
 Solidshare
 
 beloningsmodel. En dat kan aardig oplopen.
 </li>
 <li>
 
 Zekerheid
 
 . Uiteraard krijg je een vast contract met prima secundaire arbeidsvoorwaarden.
 </li>
 <li>
 
 Vakantiedagen
 
 . Onbeperkt!
 </li>
 <li>
 
 Essentials
 
 . Een auto, laptop en telefoon, dat spreekt voor zich.
 </li>
 <li>
 
 Projecten
 
 . Samen kiezen we de projecten waar jij helemaal op je plek zit.
 </li>
 <li>
 
 Ontwikkeling
 
 . Opleidingen, trainingen en cursussen die bij je passen.
 </li>
 <li>
 
 Een stem
 
 . Laat je horen in onze
 
 Data Analytics
 
 competence.
 </li>
 <li>
 
 Our community
 
 . Deel kennis, successen en gezelligheid met collega&rsquo;s die net zo bezeten zijn van IT als jij.
 </li>
 <li>
 
 Events
 
 . Van onze jaarlijkse ski-trip naar Oostenrijk en de jubileumreis naar
 
 Dublin
 
 tot een MTB-clinic of running event. Van tweewekelijkse
 
 Dungeons &amp; Dragons
 
 -avonden tot familiedagen naar de Efteling.
 </li>
 </ul>
 
 
 
 
 
 Dit ben jij.
 
 
 
 Je hebt een relevant HBO of WO-diploma, bij voorkeur Computer Science of Artificial Intelligence. Je programmeert bij voorkeur met Java, Scala of Python.
 
 
 Je bent de Data Engineer die alles weet van noodzakelijke pipeline tooling als Kafka, Spark, Cassandra en containertooling als Docker, Airflow of Kubernetes. Bij voorkeur heb je ook al ervaring met cloud oplossingen (Microsoft Azure of AWS).
 
 
 Je bent analytisch sterk en kunt zelfstandig organisaties adviseren over de te nemen beslissingen. Tot slot spreek en schrijf je vloeiend Nederlands en Engels.
 
 
 
 
 
 
 Bij Pancompany.
 
 
 
 Ben je de beste in je vak.
 
 
 Denk en handel je als een ondernemer.
 
 
 Maak je plezier en geniet je volop.
 
</div>

Data Engineer

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