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Picnic Technologies

<div>
 In a nutshell
 
 
 As a Machine Learning Engineer at Picnic, you will design and deploy intelligent systems to solve our company&rsquo;s biggest challenges. Beyond building models, you will productionize them with strong monitoring and seamless integration into operational systems. You will collaborate closely with stakeholders to ensure the right problems are solved and that solutions deliver real-world impact.
 
 
 All using high quality data. Our data is registered, logged, and consistent, enabling you to focus on building and improving models rather than cleaning data. This role combines the skills of a consultant, software engineer, and applied mathematician.
 
 
 Tricks of the trade
 
 
 You will definitely:
 
 
 <ul>
 <li>
 Identify and execute improvement possibilities together with other ML Engineers and (product) analysts
 </li>
 <li>
 Collaborate on your project from inception to production, to continuous improvement
 </li>
 <li>
 Develop tools and enhancements for our cloud-based Machine Learning platform
 
 
 
 </li>
 </ul>
 You could work on various projects and fields, such as:
 
 
 <ul>
 <li>
 Demand forecasting: delivery, article, trip volumes, used Picnic-wide
 </li>
 <li>
 Fraud detection: helping us keep troublemakers out of our store
 </li>
 <li>
 Recommendation systems: generating useful in-app grocery suggestions
 </li>
 <li>
 Search and ranking: helping our customers find exactly what they need
 </li>
 <li>
 Predicting delivery drop-off times: making sure we&rsquo;re on-time at every customer&rsquo;s door
 </li>
 <li>
 Vision: ensuring quality control and smooth operations within our warehouses
 
 
 
 </li>
 </ul>
 Check out some of our previous machine learning projects here: https://blog.picnic.nl/tagged/machine-learning
 
 
 We&rsquo;re looking for
 
 
 <ul>
 <li>
 Master&rsquo;s degree or higher in AI, Computer Science, Mathematics, or a related field
 </li>
 <li>
 5+ years of experience in data science or applied machine learning
 </li>
 <li>
 Excellent communication skills, you can clearly explain complex ideas in non-technical terms and enjoy working closely with business stakeholders to solve problems together
 </li>
 <li>
 Experienced in designing, deploying, and maintaining production ML systems, with solid software engineering and ML principles
 </li>
 <li>
 Strong Python and SQL skills
 </li>
 <li>
 Able to define the long-term vision and technical architecture for ML solutions within your domain
 </li>
 <li>
 Experience with Docker, Kubernetes, and CI is a plus
 
 
 
 </li>
 </ul>
 Picnic Perks
 
 
 
 🫱🏼&zwj;🫲🏾 Teamwork makes the dream work
 
 
 
 With more than 80 nationalities across 3 countries, you&rsquo;ll be part of a diverse company with plenty of cool stuff to get involved with, from board game evenings to after-work drinks to our company ski trip and more!
 
 
 
 💡 Make a difference
 
 
 
 You&rsquo;ll work in an awesome startup environment with the freedom to drive your own projects and create a visible impact. Our fully electric vehicles and sustainable business model mean you&rsquo;ll also be contributing to making the world a better place!
 
 
 
 🥗 Fresh Lunch, coffee, and snacks
 
 
 
 Our offices are equipped with fully-fledged coffee bars and a kitchen and chefs. They prepare delicious fresh and warm lunches every day so you can keep your energy up.
 
 
 
 🚲 Health insurance discount &amp; bike plan
 
 
 
 We have a partnership with CZ (a health insurance provider). Picnic employees get a discount on CZ insurance packages between 5% and 15%. Furthermore, through our partnership with Lease a Bike, you can rent-to-own a new (e)bike at a discounted rate
 
 
 
 🌎 Relocation
 
 
 
 If you&rsquo;re moving from another country to join Picnic we make it as smooth as possible for you. We&rsquo;ll cover your flight costs for you and your partner and kids, your first month's rent and moving costs (up to &euro;2000), and help you with the 30% tax ruling setup and application.
 
 
 
 📆 All the rest
 
 
 
 At Picnic you get 25 holidays, we cover your travel expenses and offer a pension plan. And your phone and laptop are on us, as well.
</div>

Senior Machine Learning Engineer

<div>Company Description 
Sia is a next-generation, global management consulting group. Founded in 1999, we were born digital. Today our strategy and management capabilities are augmented by data science, enhanced by creativity and driven by responsibility. We&rsquo;re optimists for change and we help clients initiate, navigate and benefit from transformation. We believe optimism is a force multiplier, helping clients to mitigate downside and maximize opportunity. With expertise across a broad range of sectors and services, our 3,000 consultants serve clients worldwide from 48 locations in 19 countries. Our expertise delivers results. Our optimism transforms outcomes. 
Job Description 
The Data Science team is young, diverse and growing. As we are still relatively small you will be in the driver seat to shape its future. We have a flat structure and value the entrepreneurial spirit of our members: initiative is highly encouraged. We are also striving for well-being, diversity and knowledge-sharing inside the team, so that we all grow.
As a Data engineer consultant you will be working on various client projects as well as on building our own Sia AI solutions, together with our French Data Engineering team:<ul><li>
Cloud Services at GCP, AWS and Azure: architecture choices, use of storage &amp; compute services, cost monitoring and optimization, role management, Infrastructure as Code</li><li>
Docker and Kubernetes: containerization &amp; orchestration of applications, management of K8s clusters adapted to Data Science workloads</li><li>
Python programming: development of server-side tools (bulk data processing, REST API server, authentication, ...)</li><li>
CI/CD: managing the integration and ongoing deployment of our applications and internal platforms, supporting the deployment of Data Science projects at our clients' sites</li><li>
Data pipelines: development of ETL scripts in Big Data environments</li><li>
Infrastructures &amp; Services adapted to Machine Learning: technology watch and implementation of solutions useful to Data Scientists in the learning and provision of their ML models.</li></ul> 

Qualifications 
<ul><li>
 You hold a Master&rsquo;s Degree with a strong quantitative component (e.g. Econometrics, Physics, Mathematics, Statistics, Quantitative Finance)</li><li>
You have 1-3 years of relevant experience in Data, DevOps, Cloud or Software Engineering.</li><li>
You have a good level in Python and have a solid foundation in other languages. You are familiar with at least one SQL DBMS (ideally PostgreSQL) and ideally noSQL (ideally MongoDB).</li><li>
Ideally, you are already familiar with at least one cloud services platform (GCP, AWS, Azure) with experience mixing different services within the same project. If not, you have a strong appetite to learn more about these topics.</li><li>
You are comfortable using Docker, automating CI/CD pipelines and have a strong appetite for gaining competence in Kubernetes if you do not yet have experience with this solution.</li><li>
You will be able to work in a DevOps culture, taking responsibility for the code lifecycle, from development to deployment and maintenance of applications (mastery of the Gitlab-CE ecosystem is a plus). You are also familiar with Infrastructure as Code concepts and tools (ideally Terraform).</li><li>
You are sensitive to security issues and have experience in implementing application protection solutions (certificate management, HTTPS security, OAuth2 authentication, credential management)</li><li>
You have a strong interest in data and AI-related topics, the ability to quickly build expertise in these areas, and you&rsquo;re excited about helping our clients seize the opportunities they offer.</li><li>
You have excellent interpersonal and team working skills</li><li>
Excellent English and Dutch verbal and written skills are required.</li></ul> 

Additional Information 
We are unable to provide a work permit for this position 
Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.</div>

Consultant Data Engineer

Odgers Nederland

<div>
 
 Bij Odgers bouwen we aan een datagedreven en toekomstbestendige executive search organisatie. Om onze ambitie verder vorm te geven, zoeken wij een
 
 Data Engineer
 
 die onze datafundamenten versterkt en helpt om onze processen slimmer, sneller en beter voorspelbaar te maken.
 
 
 
 
 
 
 Over de rol
 
 
 
 Als Data Engineer speel je een sleutelrol in het ontwikkelen en onderhouden van onze data‑infrastructuur. Je zorgt ervoor dat data betrouwbaar beschikbaar is voor analyses, dashboards en AI‑toepassingen die direct bijdragen aan onze search- en advisorypraktijk.
 
 
 Je werkt nauw samen met research, consultants en operations om data om te zetten in concrete inzichten die onze dienstverlening verbeteren.
 
 
 
 
 
 
 Wat ga je doen
 
 
 <ul>
 <li>
 Ontwerpen, bouwen en onderhouden van data pipelines en data‑modellen
 </li>
 <li>
 Integreren van verschillende databronnen (ATS, CRM, M365, externe datasets)
 </li>
 <li>
 Waarborgen van datakwaliteit, consistentie en security (GDPR/AVG-proof)
 </li>
 <li>
 Ondersteunen van rapportages, dashboards en KPI‑sturing
 </li>
 <li>
 Meewerken aan AI- en automatiseringsoplossingen (bijv. Copilot use cases)
 </li>
 <li>
 Vertalen van businessvragen naar data‑gedreven oplossingen
 </li>
 </ul>
 
 
 
 
 
 Wat breng je mee
 
 
 <ul>
 <li>
 Bachelor of master in Data Science, Computer Science of vergelijkbaar
 </li>
 <li>
 Minimaal 3 jaar ervaring als Data Engineer of in een vergelijkbare rol
 </li>
 <li>
 Sterke kennis van SQL en ervaring met data pipelines (bijv. Python, Azure Data Factory, Databricks)
 </li>
 <li>
 Ervaring met cloudomgevingen (bij voorkeur Microsoft Azure)
 </li>
 <li>
 Begrip van data‑modellering en datagovernance
 </li>
 <li>
 Affiniteit met AI en automatisering is een sterke pr&eacute;
 </li>
 <li>
 Analytisch, gestructureerd en proactief
 </li>
 </ul>
 
 
 
 
 
 Wat bieden wij
 
 
 <ul>
 <li>
 Een sleutelrol in de transformatie naar een datagedreven organisatie
 </li>
 <li>
 Directe impact op de kwaliteit en snelheid van onze dienstverlening
 </li>
 <li>
 Werken in een professionele, internationale omgeving
 </li>
 <li>
 Ruimte om mee te bouwen aan innovatieve AI- en data‑oplossingen
 </li>
 <li>
 Marktconform salaris en goede secundaire arbeidsvoorwaarden
 </li>
 </ul>
 
 
 
 
 
 Over Odgers
 
 
 
 Odgers is een toonaangevend executive search- en leadership advisory bureau. Wij combineren menselijke expertise met data en technologie om organisaties te helpen de juiste leiders te vinden en ontwikkelen.
 
</div>

Data Engineer

Alignerr

<div>
 
 About The Role
 
 
 
 What if the code you write could directly power the AI systems shaping how millions of people interact with technology? We're looking for Back End Developers in Amsterdam to design, build, and optimize the server-side systems and APIs that drive cutting-edge AI products &mdash; from data pipelines and model-serving infrastructure to scalable microservices that handle real-world traffic at scale.
 
 
 This is a fully remote, flexible contract role. Whether you're a seasoned engineer looking for meaningful project work or a strong developer ready to apply your skills to AI-adjacent infrastructure, this is your chance to build things that matter.
 
 
 <ul>
 <li>
 Organization: Alignerr
 </li>
 <li>
 Type: Hourly Contract
 </li>
 <li>
 Location: Remote
 </li>
 <li>
 Commitment: 10&ndash;40 hours/week
 
 
 </li>
 </ul>
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Design, develop, and maintain robust back end services, APIs, and data pipelines
 </li>
 <li>
 Build scalable, high-performance server-side architecture to support AI training and inference workloads
 </li>
 <li>
 Write clean, well-documented, and testable code following engineering best practices
 </li>
 <li>
 Integrate with databases, message queues, cloud services, and third-party APIs
 </li>
 <li>
 Optimize system performance, reliability, and scalability as usage grows
 </li>
 <li>
 Collaborate asynchronously with distributed teams of engineers, researchers, and product leads
 </li>
 <li>
 Troubleshoot production issues, conduct code reviews, and contribute to architectural decisions
 </li>
 <li>
 Work independently on task-based and project-based assignments on your own schedule
 
 
 </li>
 </ul>
 
 Who You Are
 
 
 
 <ul>
 <li>
 Proficient in one or more back end languages &mdash; Python, Go, Java, Node.js, Rust, or similar
 </li>
 <li>
 Solid understanding of RESTful API design, microservices architecture, and distributed systems
 </li>
 <li>
 Experienced with relational and/or NoSQL databases (PostgreSQL, MongoDB, Redis, etc.)
 </li>
 <li>
 Comfortable working with cloud platforms such as AWS, GCP, or Azure
 </li>
 <li>
 Familiar with version control (Git), CI/CD pipelines, and containerization (Docker, Kubernetes)
 </li>
 <li>
 Strong problem-solving skills and the ability to debug complex systems independently
 </li>
 <li>
 Self-motivated, reliable, and effective when working asynchronously without close supervision
 </li>
 <li>
 Clear communicator who can document decisions and collaborate across time zones
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Experience building infrastructure for machine learning or AI systems
 </li>
 <li>
 Familiarity with data processing frameworks (Apache Kafka, Spark, Airflow, or similar)
 </li>
 <li>
 Background in performance optimization, caching strategies, or high-throughput systems
 </li>
 <li>
 Knowledge of authentication, authorization, and security best practices
 </li>
 <li>
 Experience with serverless architectures or event-driven design patterns
 </li>
 <li>
 Contributions to open-source projects or a strong portfolio of personal/professional work
 
 
 </li>
 </ul>
 
 Why Join Us
 
 
 
 <ul>
 <li>
 Work on cutting-edge AI infrastructure projects alongside leading research labs
 </li>
 <li>
 Fully remote and flexible &mdash; set your own hours and work from anywhere
 </li>
 <li>
 Freelance autonomy with access to meaningful, technically challenging work
 </li>
 <li>
 Build systems at the intersection of software engineering and artificial intelligence
 </li>
 <li>
 Collaborate with a global network of talented engineers and researchers
 </li>
 <li>
 Potential for ongoing work and contract extension as new projects launch
 </li>
 </ul>
</div>

Back End Developer (AI Infrastructure)

Optics11

<div>We are expanding our Underwater Acoustics R&amp;D team with a Signal Processing Engineer who is motivated to solve challenging scientific and engineering problems at the intersection of signal processing, applied mathematics, physics, and software engineering.
Optics11 is a deep-tech company developing advanced fiber-optic sensing technologies for demanding applications in underwater acoustics, offshore energy, and defense. Our novel fiber-optic technology is redefining underwater security by enabling next-generation sonar solutions to protect critical naval assets and underwater infrastructure.
You will contribute to the development of advanced sonar processing algorithms, mathematical models, and software for our next-generation fiber-optic sensing systems. Working closely with experts from multiple disciplines, you will help develop technologies that operate in some of the world's most challenging environments.
Previous experience in underwater acoustics, sonar, radar, geophysics or medical imaging is an advantage, but not a dealbreaker. We value strong analytical thinking, curiosity, and the willingness to learn new domains.<h4 class="jobSectionHeader">
Key responsibilities:</h4><ul><li>
Execute acoustic modelling and signal processing tasks: Implement and improve algorithms and mathematical models for underwater acoustic sensing systems using principles from signal processing, applied mathematics, statistics, physics, and numerical methods.</li><li>
Analyze and interpret experimental data: Process and evaluate fiber-optic datasets from laboratory and field trials to extract insights that support design improvements and validation.</li><li>
Develop and test algorithms: Contribute to the development and testing of algorithms for beamforming, event detection, filtering, and data classification under guidance from senior engineers.</li><li>
Document and communicate progress: Maintain clear, structured documentation of methods, results, and conclusions. Proactively communicate progress, challenges, and proposed solutions to the team.</li><li>
Collaborate across functions: Work closely with software, embedded, and hardware engineers to ensure smooth data flow, model integration, and system testing.</li><li>
Improve team workflows and tools: Identify opportunities to improve data handling, simulation scripts, and processing pipelines, contributing to better team efficiency and clarity.</li><li>
Share knowledge and provide feedback: Contribute to internal discussions by sharing your learnings, simplifying complex findings for others, and offering constructive feedback on shared work.</li></ul><h4 class="jobSectionHeader">
Why Join Us?</h4><ul><li>
Join one of Europe&rsquo;s most promising deep-tech scale-ups.</li><li>
Shape the future of a rapidly growing multidisciplinary R&amp;D organization.</li><li>
Competitive salary and benefits package.</li><li>
Enjoy regular team activities and company events.</li><li>
Fresh team lunches provided3 times/ week.</li></ul><h4 class="jobSectionHeader"> 
Required Qualifications:</h4><ul><li>
MSc degree (or equivalent) in Electrical Engineering, Applied Mathematics, Physics, Computer Science, Signal Processing, Statistics, Aerospace Engineering, Mechanical Engineering, or another quantitative discipline.</li><li>
1-3 years of experience in research or development, preferably with sensing systems, applied statistics, or wave-related phenomena or a PhD in a relevant discipline.</li><li>
A strong background in physical modelling, underwater acoustics, wave propagation, signal processing, sonar, applied mathematics, or equivalent.</li><li>
Good understanding of several of the following topics: digital signal processing, statistical signal processing, estimation theory, numerical methods, scientific computing Excellent programming skills (e.g. Python, Julia, C++, etc.) with readiness to deepen your programming proficiency.</li><li>
Strong analytical and problem-solving skills.</li><li>
You have a can-do mentality with no fear of getting your hands dirty when needed.</li><li>
You have strong verbal and written communication skills in English.</li><li>
You can work independently as well as in a team with well-developed communication skills.</li><li>
Knowledge of AI, machine learning techniques is a plus.</li><li>
Experience with CUDA, PyTorch, TensorFlow skills is a plus.</li><li>
Experience with fiber optic measurement principles and/or interferometry is a plus.</li><li>
Applicants should be eligible for NATO/Dutch security clearance.</li></ul>
Security &amp; Compliance:
You'll be working with clients in the defense and security sectors, obtaining a Certificate of No Objection issued by the AIVD (Dutch General Intelligence and Security Service) is mandatory. This means you will need to undergo a security screening. For more information, please refer to details on security screening.</div>

Signal Processing Engineer

IMC Trading

<div>
 As a Machine Learning Engineer, you will play a pivotal role in building systems that drive the training and deployment of large-scale ML models across our global operations. You'll collaborate with leading researchers, hardware experts, and software engineers to build robust solutions that maximize the potential of GPU acceleration, distributed computing, and the latest open-source tools. Your work will influence our trading strategies by accelerating experimentation cycles that foster continuous innovation and refinement.
 
 
 This is a unique opportunity to solve problems at the intersection of advanced machine learning and trading, where your contributions will shape the future of IMC&rsquo;s technology and trading capabilities.
 
 
 
 Your Core Responsibilities
 
 
 
 <ul>
 <li>
 The opportunity to be in a brand new position in a growing team
 </li>
 <li>
 Develop large-scale distributed training pipelines to manage datasets and complex models
 </li>
 <li>
 Build and optimize low-latency inference pipelines, ensuring models deliver real-time predictions in production systems
 </li>
 <li>
 Develop libraries to improve the performance of machine learning frameworks
 </li>
 <li>
 Maximize performance in training and inference using GPU hardware and acceleration libraries
 </li>
 <li>
 Design scalable model frameworks capable of handling high-volume trading data and delivering real-time, high-accuracy predictions
 </li>
 <li>
 Collaborate with quantitative researchers to automate ML experiments, hyperparameter tuning, and model retraining
 </li>
 <li>
 Partner with HPC specialists to optimize workflows, improve training speed, and reduce costs
 </li>
 <li>
 Evaluate and roll out third-party tools to enhance model development, training, and inference capabilities
 </li>
 <li>
 Dig into the internals of open-source ML tools to extend their capabilities and improve performance
 
 
 </li>
 </ul>
 
 Your Skills And Experience
 
 
 
 <ul>
 <li>
 5+ years of experience in machine learning with a focus on training or inference systems
 </li>
 <li>
 Hands-on experience with real-time, low-latency ML pipelines in high-performance environments is a strong plus
 </li>
 <li>
 Strong engineering skills, including Python, CUDA, or C++
 </li>
 <li>
 Knowledge of machine learning frameworks such as PyTorch, TensorFlow, or JAX
 </li>
 <li>
 Proficiency in GPU programming for training and inference acceleration (e.g., CuDNN, TensorRT)
 </li>
 <li>
 Experience with distributed training for scaling ML workloads (e.g., Horovod, NCCL)
 </li>
 <li>
 Exposure to cloud platforms and orchestration tools
 </li>
 <li>
 A track record of contributing to open-source projects in machine learning, data science, or distributed systems is a plus
 
 
 </li>
 </ul>
 
 About Us
 
 
 
 IMC is a global trading firm powered by a cutting-edge research environment and a world-class technology backbone. Since 1989, we&rsquo;ve been a stabilizing force in financial markets, providing essential liquidity upon which market participants depend. Across our offices in the US, Europe, Asia Pacific, and India, our talented quant researchers, engineers, traders, and business operations professionals are united by our uniquely collaborative, high-performance culture, and our commitment to giving back. From entering dynamic new markets to embracing disruptive technologies, and from developing an innovative research environment to diversifying our trading strategies, we dare to continuously innovate and collaborate to succeed.
</div>

Machine Learning 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)

Explore 48+ Python software engineer in Amsterdam this July. Find roles across top companies and apply now to boost your career.