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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)

Just Eat Takeaway.com

<div>
 
 
 Ready for a challenge?
 
 
 
 
 Then Just Eat Takeaway.com might be the place for you. We&rsquo;re a leading global online delivery platform, and our vision is to empower everyday convenience.
 
 
 Whether it&rsquo;s a Friday-night feast, a post-gym poke bowl, or grabbing some groceries, our tech platform connects tens of millions of customers with hundreds of thousands of restaurant, grocery and convenience partners across the globe.
 
 
 
 About This Role
 
 
 
 We are looking for a Senior Data Engineer to join the Batch team within the Global Intelligence Platforms organisation, where you will play a central role in building and evolving Mobius - our internal unified analytics and data platform that powers data workloads at scale across Just Eat Takeaway.
 
 
 Mobius is a Kubernetes-native, declarative data platform that abstracts away infrastructure complexity so that data engineers across the business can provision and manage batch and streaming pipelines through a simple, expressive API. As part of the Batch team, you will own the components that make this a reality for batch processing.
 
 
 We're looking for someone who can live our behaviours of lead, deliver and care, bring fresh ideas, challenge the status quo, and push for bold, creative solutions to drive the Just Eat Takeaway vision forward.
 
 
 
 
 Location: Hybrid - 3 days a week from our Amsterdam office &amp; 2 days working from home
 
 
 Reporting to: Senior Team Leader - Data Engineering
 
 
 
 
 
 
 These are some of the key components to the position:
 
 
 
 
 <ul>
 <li>
 Design, build, and continuously improve batch and data processing pipelines on the Mobius platform, holding yourself and the team to a high standard of reliability and maintainability.
 </li>
 <li>
 Contribute to the evolution of Mobius platform capabilities, helping shape architecture decisions that scale with the organisation's growing data needs.
 </li>
 <li>
 Partner closely with internal teams to understand their data requirements, translating them into well-engineered, production-ready solutions.
 </li>
 <li>
 Champion data quality and governance by defining and maintaining data contracts, metadata, and lineage across the pipelines you own.
 </li>
 <li>
 Set up and own observability for data workloads - monitoring, alerting, and logging - and lead incident response when things don't go to plan.
 </li>
 <li>
 Participate actively in code reviews, raising the bar for engineering standards and sharing knowledge generously across the team.
 </li>
 <li>
 Collaborate across Global Intelligence Platforms org and with external teams to ensure Mobius delivers real, measurable value to the business.
 </li>
 <li>
 Identify and drive improvements to tooling, processes, and developer experience, making it easier for teams to build on top of Mobius with confidence.
 </li>
 <li>
 Contribute to team planning and prioritisation, helping to break down complex problems into clear, achievable goals that keep the team moving forward.
 
 
 </li>
 </ul>
 
 
 What will you bring to the team?
 
 
 
 
 <ul>
 <li>
 Strong coding skills (Python/Java/Scala), with a track record of building and maintaining reliable, production-grade data pipelines at scale.
 </li>
 <li>
 Confident working with Kubernetes-native platforms to deploy and operate data workloads across cloud environments. Knowledge of Golang is a strong advantage.
 </li>
 <li>
 Hands-on experience with data transformation tools such as Spark and DBT, with a focus on building well-tested, maintainable data products.
 </li>
 <li>
 Familiarity with Apache Iceberg table format and schema management via catalogs such as AWS Glue, with an appreciation for data quality and consistency.
 </li>
 <li>
 Solid grounding in core AWS data and messaging services (S3, Glue ETL, DynamoDB, SNS, SQS, Redis) and how they fit together in modern data architectures.
 </li>
 <li>
 Proficiency in SQL and experience querying large-scale datasets with engines such as Athena to surface insights for internal and external partners.
 </li>
 <li>
 Experience orchestrating and scheduling data workflows, with an understanding of pipeline dependency management principles (e.g., Airflow).
 </li>
 <li>
 Comfortable establishing monitoring, logging, and alerting for data pipelines to drive operational excellence and fast incident response.
 </li>
 <li>
 An appreciation for data governance - including metadata management and data contracts - as a foundation for responsible, trustworthy data products.
 </li>
 <li>
 A collaborative, growth-oriented mindset: you build strong relationships across teams, stay committed to shared goals, and actively look for ways to raise the bar.
 
 
 </li>
 </ul>
 
 
 At JET, this is how we play
 
 
 
 
 Our teams forge connections internally and work with some of the best-known brands on the planet, giving us truly international impact in a dynamic environment.
 
 
 Being the best at what we do isn&rsquo;t just about delivering on our strategy. It's a competition for something incredibly valuable &ndash; our customers' choice. Every time a customer decides where to order, they're picking a side.
 
 
 At the heart of the JET Customer League are our values and behaviours. They guide every interaction, every decision, every innovation. These are the actions we need to perform consistently and brilliantly, to surpass the competition and earn our customers&rsquo; loyalty, again and again.
 
 
 Fun, fast-paced and supportive, the JET culture is about movement, growth, helping one another to succeed and celebrating wins. By truly living our values and embodying our behaviours, we&rsquo;re building a customer-first culture which enables us to stay one step ahead of the competition.
 
 
 
 
 Inclusion, Diversity &amp; Belonging
 
 
 
 
 No matter who you are, what you look like, who you love, or where you are from, you can find your place at Just Eat Takeaway.com. We&rsquo;re committed to creating an inclusive culture, encouraging diversity of people and thinking, in which all employees feel they truly belong and can bring their most colourful selves to work every day.
 
 
 
 What else are we delivering?
 
 
 
 Want to know more about our JETers, culture or company? Have a look at our career site where you can find people's stories, blogs, podcasts and more JET journeys.
 
 
 
 
 Are you ready to join the team? Apply now!
 
 
 
 
</div>

Senior Data Engineer

SynTouch

<div>
 Bij SynTouch werk je als Data Engineer aan moderne dataoplossingen in de Azure-cloud. Je helpt organisaties om &eacute;cht datagedreven te worden &ndash; van het opzetten van data-platformen tot het bouwen van slimme, schaalbare data-pipelines.
 
 
 Samen met je team zorg je voor een stabiele, goed ingerichte data-architectuur. Je overziet het geheel, denkt mee met de klant &eacute;n implementeert de juiste Azure-tools &ndash; zoals Databricks, Data Factory of Logic Apps. Daarbij werk je graag samen met data scientists, engineers &eacute;n business stakeholders.
 
 
 Wat breng jij mee?
 
 
 Jouw enthousiasme voor data maakt het verschil. We zoeken iemand die:
 
 
 <ul>
 <li>
 Een afgeronde HBO- of WO-opleiding heeft in IT
 </li>
 <li>
 Ervaring heeft met SQL &eacute;n NoSQL databases
 </li>
 <li>
 Kennis heeft van data-concepten als Data Warehousing, Data Lakes, Data Mesh
 </li>
 <li>
 Bekend is met ETL/ELT, data-pipelines en event-driven architectuur
 </li>
 <li>
 Ervaring heeft met Azure services (zoals Databricks, Data Factory, Synapse, CosmosDB)
 </li>
 <li>
 Basiskennis heeft van analytics &eacute;n cloud
 </li>
 <li>
 Goed samenwerkt en initiatief toont
 </li>
 <li>
 This position requires fluency in Dutch
 
 
 </li>
 </ul>
 Klinkt dit als iets voor jou? Dan leren we je graag kennen.
</div>

Data Engineer Azure

Booking.com

<div>Role Description:

At Booking.com, data drives our decisions. Technology is at our core and innovation is everywhere. But our company is more than just datasets, lines of code or A/B tests. We&rsquo;re the thrill of the first night in a new place. The excitement of the next morning. The friends you make. The journey you take. The sights you see and the food you sample. Through our products, partners and people, we can empower everyone to experience the world.<h1 class="jobSectionHeader">
B. Data Teams</h1>
The Data team's responsibilities include data platforms, warehousing, enrichment and machine learning functionality, enabling teams across the organisation to understand and manage our business performance and improve the experience of our customers. You will be responsible for delivering products that advance data excellence and innovation within your product team, and across the business, helping us shape Booking.com&rsquo;s data journey.<h2 class="jobSectionHeader">
Platform Team</h2>
The Platform team is responsible for creating , developing and maintaining a robust data platform and integrations in/out of it. In conjunction with our colleagues across Booking.com, the team is embarking on an ambitious modernisation programme focusing not just on infrastructure transition to the cloud but a complete overhaul of data ingestion, quality, security and governance. Providing a platform as a service is our goal.<h2 class="jobSectionHeader">
Data Enablement Teams</h2>
Using the ecosystem our platform team have created, our Data Enablement teams work closely with teams across the business to ensure that data is ingested, transformed and enriched into secure, high quality, well governed consumption layers. Our customers are anyone from Finance to Marketing and everyone in between. Again all these teams are engaged in our data modernisation programme which will transform how data is produced, managed, and analysed to make great decisions that grow our business inline with our ambitious goals.<h2 class="jobSectionHeader">
Flights Data Enablement Team</h2>
This Data Engineering team is focussed on Flights data at Booking. We are building new products for creating, maintaining, and presenting flights data using the Booking Data Exchange (BDX) platform. We enable our analysts and product teams to make data-driven decisions about product improvements, streamline their processes, and build a deeper understanding of their systems.<h1 class="jobSectionHeader">
B. Responsible</h1>
As a Data Engineer, you&rsquo;ll join to work alongside curious, energetic, and focused people. You are responsible for delivering our vision to create a fully integrated, scalable, high performance and compliant data platform and pipelines. You&rsquo;ll help roadmap and deliver replacements for the current ad-hoc data solutions with strong foundations built on modern technologies and practices that will make it easy to produce large quantities of high quality data for consumption and analysis. We expect you to actively contribute to team discussion with questions, have and share opinions and align behind decisions when made as if they were your own.<h3 class="jobSectionHeader">
You Will:</h3><ul><li>
Iteratively develop next-generation scalable, reliable, flexible, high-performance data pipeline capabilities and data platforms.</li><li>
Use standardised tooling and procedures to work with business users to model and implement data pipelines which are performant, scalable, reliable, secure, well governed with required observability.</li><li>
Engage with other teams as needed to achieve business objectives.</li></ul><ul><li>
End-to-end ownership of data quality in our core datasets and data pipelines.</li><li>
Engage with other teams to help them identify and resolve data quality issues.</li><li>
Be responsible for maintaining data quality, security, integrity and governance by effectively following regulatory requirements, company standards, and best practices</li><li>
Adhere to the defined principles for architecture, quality and non-functional requirements.</li></ul><ul><li>
Proactively help colleagues grow professionally, taking a significant role in on-boarding and mentoring new team members.</li><li>
Continuously improve services you own, making them more performant, and utilising resources in the most optimised way.</li><li>
Ensure that products / services are always kept up to date with the latest technology standards and company guidelines.</li><li>
Ensuring that service level agreements are met by implementing tests and processes.</li><li>
Perform profiling to find bottlenecks and optimise performance, and ensure that performance metrics are set up and monitored for product health.</li><li>
Be able to connect business and product goals to complex technical tasks.</li><li>
Solve issues by prioritising; on customer impact and perform root cause analysis to find ways to prevent recurrence.</li><li>
Contribute to Booking.com&rsquo;s growth through interviewing, on-boarding and other recruitment efforts.</li><li>
Be working in an agile environment and expect to contribute towards your team's ways of working.</li><li>
Be expected to provide out of hours support on a rota.</li></ul><h1 class="jobSectionHeader">
B. Skilled</h1>
We expect our Data Engineers to have a strong foundation in Big Data Engineering to help them deliver resilient, scalable data pipelines and solutions that support our customers analysis and machine learning needs. 
We are looking for driven Data Engineers who enjoy solving problems, are proactive, collaborative and goal orientated. Who are communicative and believe that any challenge can be scaled with the right mindset, collaboration and tools.<h3 class="jobSectionHeader">
Requirements:</h3><ul><li>
3+ years of experience of designing, building, and optimising Data Lakes/Warehouses in databases such as Snowflake, Redshift, BigQuery, etc.</li><li>
2+ years of experience in a scripting language like Python or Scala.</li><li>
1+ years of experience in Streaming, using Kafka</li><li>
Driving the implementation of reliable and well trusted metrics defined by the business, connecting disparate datasets into unified data products in the Lakehouse and/or Data Warehouse.</li><li>
Producing curated, reusable analytical data products to enable self-serve analytics for many internal customers across departments.</li><li>
Modeling data following best practices and Data Warehousing methodologies such as Data Vault and (Kimball) Dimensional modeling.</li><li>
Self motivated to explore new technologies.</li><li>
Excellent communication skills - being able to effectively communicate to both technical and non-technical stakeholders.</li><li>
Excellent attention to detail.</li><li>
Be a &lsquo;Self Starter&rsquo; and highly motivated team player.</li><li>
Have a &lsquo;root cause analysis&rsquo; mindset to problem and issue resolution. Is able to break down complex problems and find solutions by using logical and analytical thinking.</li><li>
Fully comfortable working in English, both written and spoken.</li></ul><h3 class="jobSectionHeader">
Bonus Points For:</h3><ul><li>
Experience with Airflow, Snowflake, pySpark.</li><li>
Experience working in a Data Governance L3 environment</li><li>
Experience with AWS.</li><li>
Passionate about test automation</li><li>
You have an intrinsic curiosity in technological innovations and you are always on top of the latest trends.</li></ul> 
Booking.com is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. We strive to move well beyond traditional equal opportunity and work to create an environment that allows everyone to thrive. 
Booking.com&rsquo;s Total Rewards Philosophy is not only about compensation but also about benefits. We offer a competitive compensation and benefits package, as well unique-to-Booking.com benefits which include:<ul><li>
Annual paid time off and generous paid leave scheme including: parent, grandparent, bereavement, and care leave</li><li>
Hybrid working including flexible working arrangements, and up to 20 days per year working from abroad (home country)</li><li>
Industry leading product discounts - up to 1400 per year - for yourself, including automatic Genius Level 3 status and Booking.com wallet credit</li></ul> 
Inclusion at Booking.com: 
Inclusion has been a core part of our company culture since day one. This ongoing journey starts with our very own employees, who represent over 140 nationalities and a wide range of ethnic and social backgrounds, genders and sexual orientations. 
Take it from our Chief People Officer, Paulo Pisano: &ldquo;At Booking.com, the diversity of our people doesn&rsquo;t just build an outstanding workplace, it also creates a better and more inclusive travel experience for everyone. Inclusion is at the heart of everything we do. It&rsquo;s a place where you can make your mark and have a real impact in travel and tech.&rdquo; 
We ensure that colleagues with disabilities are provided the adjustments and tools they need to participate in the job application and interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. 
Application Process:
This section should provide:<ul><li>
Let&rsquo;s go places together: How we Hire</li><li>
This role does not come with relocation assistance.</li></ul></div>

Data Analytics Engineer II

And Digital

<div>Functie: AI &amp; Data EngineerOnze Missie: The Power of &lsquo;AND&rsquo;
Solliciteer alleen op deze functie als je vloeiend Nederlands spreekt en op een redelijke reisafstand van Amsterdam woont.
AND Digital is een technologiebedrijf dat organisaties helpt hun digitale ambities sneller te realiseren en de groeiende digital skills gap te overbruggen.
Wij ontwikkelen hoogwaardige digitale producten, versnellen innovatie en bouwen duurzame digitale capabilities binnen organisaties. Samen met onze klanten ontwerpen, bouwen en schalen we software en data oplossingen, versterken we teams en realiseren we meetbaar business resultaat.
Wij geloven in de kracht van &lsquo;AND&rsquo;: expertise &eacute;n executie, innovatie &eacute;n verantwoordelijkheid, ambitieus werk &eacute;n een gezonde carri&egrave;re.
Met onze Guide, Build &amp; Equip-aanpak helpen we organisaties niet alleen hun digitale transformatie te realiseren, maar bouwen we ook de kennis, vaardigheden en teams die nodig zijn om duurzaam zelfstandig te blijven innoveren.
Je komt te werken in onze Nederlandse Club in hartje Amsterdam (Club Aletta). Als onderdeel van een ondernemende en snelgroeiende organisatie krijg je veel ruimte om initiatief te nemen en eigenaarschap te tonen. Naast je klantwerk draag je actief bij aan de groei van AND Digital, bijvoorbeeld door het ontwikkelen van communities, het aantrekken van nieuw talent, het versterken van onze capabilities of het uitbouwen van klantrelaties.
Je combineert de autonomie, snelheid en betrokkenheid van een lokaal team met de expertise en slagkracht van een internationale organisatie. Via onze Practice Areas werk je samen met specialisten in Software Engineering, Product, UX Design, Cloud en Data &amp; AI aan complexe digitale uitdagingen. Zo cre&euml;er je impact voor klanten &eacute;n investeer je continu in je eigen ontwikkeling.
Over jou &amp; de rol:
Als AI &amp; Data Engineer help je klanten bij het realiseren van hun data engineering-behoeften. Jouw focus ligt voornamelijk op de ontwikkeling, implementatie en het onderhoud van data producten en moderne AI-oplossingen in een snel veranderende Agile-omgeving.
Je hebt een sterke basis in software engineering en behandelt data-infrastructuur met dezelfde technische nauwkeurigheid. Je voelt je comfortabel bij het bouwen van productie-waardige (production-grade) oplossingen binnen complexe IT-landschappen op enterprise-niveau; of het nu gaat om het bouwen van robuuste data pijplijnen of het bijdragen aan 'agentic AI'-workflows en LLM-patronen.
Daarnaast maak je echt impact door een actieve rol te spelen in de Agile-ontwikkeling praktijken van het team. Je draagt bij aan technische discussies en streeft ernaar om de kwaliteit, betrouwbaarheid en waarneembaarheid (observability) van onze data en processen te verbeteren. Je houdt je bezig met het leveren van data engineering voor klanten, terwijl je samenwerkt met junior technologen (zowel binnen AND als bij onze klanten) en hen helpt bij het onboarden.
Wat je gaat doen en wat we van je verwachten<ul><li>
Het ontwikkelen van data-pipelines die ruwe data omzetten in waardevolle inzichten voor besluitvorming, rapportages en geavanceerde data- en AI-toepassingen.</li><li>
Hands-on ervaring met data, waarbij je kennis hebt van datakwaliteit, datastromen, informatiearchitectuur en data-modellering, en deze effectief weet toe te passen in de praktijk.</li><li>
Comfortabel werken in een dynamische, agile omgeving binnen multidisciplinaire teams, waarbij je bijdraagt aan de realisatie van moderne data-platformen voor complexe organisaties.</li><li>
Praktische ervaring met SQL en workflow-orkestratie tools zoals dbt, Airflow, Prefect, Dagster of vergelijkbare technologie&euml;n om schaalbare en productieklare data-pipelines te ontwikkelen.</li><li>
Je hebt ervaring met moderne data-platformen zoals Snowflake, Microsoft Fabric en/of Databricks en beschikt over een certificering op minimaal &eacute;&eacute;n van deze technologie&euml;n, waarmee je jouw expertise kunt onderbouwen.</li><li>
Praktische ervaring met minimaal &eacute;&eacute;n cloudplatform (AWS, Azure of GCP) en relevante cloud-native diensten, zoals bijvoorbeeld Redshift, Glue, Lambda of Kinesis binnen AWS.</li><li>
Hands-on ervaring met versiebeheer en CI/CD-processen, inclusief ervaring met of interesse in Infrastructure as Code (IaC) en geautomatiseerde deployments.</li><li>
Begrip van de Data Product-mindset, waarbij je zorgt dat datasets betrouwbaar, goed gedocumenteerd, vindbaar en eenvoudig te gebruiken zijn voor zowel eindgebruikers als downstream systemen.</li><li>
Het vermogen om de businesswaarde achter technische oplossingen te begrijpen en stakeholders te begeleiden bij het vertalen van requirements naar duurzame, schaalbare data-oplossingen.</li></ul>
Dit ben jij:<ul><li>
Je levert werk van hoge kwaliteit en richt je altijd op het realiseren van concrete waarde voor de klant.</li><li>
Complexiteit of onduidelijkheid zie je als een uitdaging. Je brengt structuur aan, neemt initiatief en werkt samen met je team toe naar de beste oplossing.</li><li>
Je beschikt over sterke technische expertise en blijft jezelf continu ontwikkelen om voorop te blijven lopen in een snel veranderend vakgebied.</li><li>
Je communiceert helder, weet mensen mee te nemen in je verhaal en bouwt gemakkelijk vertrouwen op bij klanten en collega's.</li><li>
Je bent pragmatisch, flexibel en resultaatgericht, met oog voor zowel de korte als de lange termijn.</li><li>
Je deelt actief je kennis, coacht anderen en draagt graag bij aan de ontwikkeling van collega's en teams.</li><li>
Je gelooft in samenwerking, laat ego achterwege en voelt je thuis in multidisciplinaire teams waarin verschillende perspectieven samenkomen.</li><li>
Je beheerst de Nederlandse taal op moedertaalniveau.</li></ul>
Waarom werken bij AND Digital?<ul><li>
Bij AND Digital cre&euml;ren we een omgeving waarin talent impact kan maken, zich continu kan ontwikkelen en met plezier werkt aan uitdagende digitale vraagstukken. Dit kun je van ons verwachten:</li><li>
Het beste van twee werelden &ndash; We werken vanuit lokale, ondernemende Clubs van maximaal 65 mensen. Daardoor ervaar je de energie, betrokkenheid en snelheid van een scale-up, gecombineerd met de expertise, klanten en mogelijkheden van een internationale organisatie.</li><li>
Een sterke vakinhoudelijke community &ndash; Naast je lokale team maak je deel uit van een Practice Area met experts binnen jouw vakgebied. Hier deel je kennis, ontwikkel je nieuwe vaardigheden, werk je aan innovatieve proposities en leer je van collega's die dezelfde passie voor technologie en digitale transformatie delen.</li><li>
Een cultuur gebouwd op groei en samenwerking &ndash; Nieuwsgierigheid, kennisdeling en continue ontwikkeling staan centraal in alles wat we doen. We stimuleren ondernemerschap, geven ruimte voor eigen initiatief en geloven dat de beste resultaten ontstaan wanneer talentvolle mensen samenwerken zonder ego's. Daarbij zijn we ambitieus voor onze klanten &eacute;n investeren we actief in het succes, welzijn en de ontwikkeling van onze mensen.</li></ul>
Een sterke basis voor jouw succes
Bij AND Digital vinden we dat je pas het beste uit jezelf haalt als je de ruimte krijgt om te groeien, impact te maken en een gezonde balans te behouden. Daarom kun je op basis van een fulltime dienstverband (40 uur) rekenen op:<ul><li>
Vakantie &amp; flexibiliteit &ndash; 25 vakantiedagen per jaar en de mogelijkheid om nationale feestdagen om te ruilen voor dagen die beter aansluiten bij jouw cultuur, religie of persoonlijke voorkeuren.</li><li>
Vakantiegeld &ndash; 8% vakantiegeld, dat jaarlijks in mei wordt uitbetaald.</li><li>
Pensioen &ndash; Een aantrekkelijke pensioenregeling waarbij AND Digital een substanti&euml;le bijdrage levert aan je pensioenopbouw, met een minimale eigen bijdrage van 2%.</li><li>
Hybride werken &ndash; Een flexibele werkomgeving waarbij we gemiddeld drie dagen per week samenwerken op locatie bij de klant of in onze Club in Amsterdam en twee dagen vanuit huis werken. Daarbij ontvang je een thuiswerkvergoeding en worden zakelijke reiskosten volledig vergoed.</li><li>
Moderne werkmiddelen &ndash; Een MacBook en een budget voor de IT-accessoires die je nodig hebt om comfortabel en effectief te werken.</li><li>
Groei &amp; ontwikkeling &ndash; Toegang tot onze eigen AND Academy, een sterk Practice Area-netwerk en een breed aanbod aan trainingen, kennisdeling en leerprogramma's. Je krijgt structurele begeleiding met een eigen Growth team, een persoonlijk ontwikkelplan en de mogelijkheid om certificeringen te behalen bij partners zoals AWS, Microsoft, Google Cloud en Databricks. Zo investeren we actief in jouw vakinhoudelijke expertise, persoonlijke ontwikkeling en carri&egrave;regroei.</li></ul>
Kom zoals je bent
Bij AND Digital geloven we dat de beste idee&euml;n, producten en oplossingen ontstaan wanneer mensen met verschillende achtergronden, ervaringen en perspectieven samenwerken. Daarom bouwen we bewust aan een inclusieve omgeving waarin iedereen zich welkom voelt, zichzelf kan zijn en de ruimte krijgt om succesvol te zijn.
We beoordelen mensen op hun talent, potentieel en impact. Wat jouw achtergrond ook is, we willen dat je je gehoord, gewaardeerd en ondersteund voelt vanaf dag &eacute;&eacute;n.
Heb je tijdens het sollicitatieproces specifieke ondersteuning, aanpassingen of hulpmiddelen nodig om jezelf optimaal te kunnen laten zien? Laat het ons recruitmentteam weten. We denken graag met je mee en zorgen ervoor dat jij met vertrouwen het gesprek kunt aangaan.</div>

Data and AI Engineer (Amsterdam)

Xomnia

<div><h3 class="jobSectionHeader">Senior Data Platform Engineer</h3>
At Xomnia, Senior Data Platform Engineers don't just build systems. They define how data platforms evolve. As a Senior Data Platform Engineer, you will set the architectural direction that enables organizations like KLM, Enexis, and Rabobank to operate at the frontier of data and AI. 
 
You build with conviction: shaping standards, steering technical trade-offs, and leaving a lasting mark on both client platforms and the broader engineering culture at Xomnia.<h3 class="jobSectionHeader">
Lead architecture that others build on</h3>
Joining Xomnia means entering a community of over 20 nationalities driven by one shared ambition: using data and AI to solve problems that actually matter. At senior level, that ambition takes on a different weight. You are not just executing, you are setting direction. The Xomnia way rewards engineers who challenge assumptions, share knowledge generously, and raise the bar for everyone around them.
As a Senior Data Platform Engineer, your growth trajectory leans into ownership. You'll drive architectural decisions, act as a trusted technical advisor to clients, and mentor the engineers coming up behind you. Dedicated internal time gives you space to explore new technologies and contribute to the standards that define how Xomnia builds.<h3 class="jobSectionHeader">
What the role looks like in practice</h3>
Your week moves between our Amsterdam HQ on Raamstraat with its canal views, uneven floors, and the kind of Friday design sessions that actually move things forward, client environments, and home. At senior level, you're as likely to be leading a migration architecture discussion as you are optimizing a pipeline that processes millions of records overnight.
Some examples of the type of work we do: a cloud platform overhaul at a.s.r, a data infrastructure project at DAF, and an end-to-end solution at Albert Heijn.<h3 class="jobSectionHeader"> 
What you bring to the table</h3>
You've moved past proving you can build; now you're focused on building the right things, the right way, and bringing others along with you. What we're looking for:<ul><li>
5+ years in data engineering or data-intensive backend systems, with end-to-end ownership of production-grade platforms.</li><li>
You translate technical depth into clear direction for engineers, clients, and stakeholders.</li><li>
Proven experience designing scalable cloud architectures and leading the technical discussions that drive decisions.</li><li>
Deep expertise optimizing pipelines for performance, reliability, and cost, at a scale where it matters.</li><li>
An excellent understanding of technology trade-offs in data platforms specific to a wide range of different use cases.</li><li>
Proficiency with Infrastructure as Code (e.g., Terraform) and CI/CD-driven data workflows.</li><li>
Fluent in English; Dutch is a strong plus.</li><li>
Eligible to work in the Netherlands.</li></ul><h3 class="jobSectionHeader">
What's in it for you?</h3>
Xomnia invests in the people who push things forward. For Senior Data Platform Engineers, that looks like this:<ul><li>
A monthly salary between &euro;5,650 &ndash; &euro;6,800 (based on 40 hours, excluding vacation allowance), plus Stock Appreciation Rights to share in what we're building together.</li><li>
A dedicated &euro;5,000 annual development budget, access to Learning Labs, and real internal influence over how Xomnia engineers.</li><li>
25 vacation days, with the option for unpaid leave or the occasional stint working from abroad.</li><li>
Company trips that range from ski slopes to Jordan, regular canal boat rides, and a Raamstraat office stocked with healthy lunches and a fully loaded bar, every day.</li><li>
A solid pension scheme and flexible working arrangements.</li></ul><h3 class="jobSectionHeader">
Hear it from our engineers!</h3>
All nicely said, right? But what if you hear these words from our Data Engineers themselves? Our consultants Sara and Wesley talk about their role as Data Engineer at Xomnia and explain why working at Xomnia is so lively.<h3 class="jobSectionHeader">
Become a Xomnian!</h3>
At Xomnia, we believe in using data and AI to tackle real-world challenges. With a team of passionate experts from 20+ nationalities and over 30% female representation, we celebrate diversity and welcome different perspectives.
We are proud of our core values: we are challengers, we embrace agility, and we always share. Want to be part of this and take the next step in your career?
Apply now or reach out to vanity.lekkerkerker@xomnia.com We look forward to meeting you.</div>

Senior Data Platform Engineer

JetBrains

<div>
 At JetBrains, code is our passion. Ever since we started back in 2000, we have been striving to make the strongest, most effective developer tools on earth. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create.
 
 
 We&rsquo;re looking for a Research Engineer who will own the training stack and model architecture for our Mellum LLM family. Your job is easier said than done: make training faster, cheaper, and more stable at a large scale. You&rsquo;ll profile, design, and implement changes to the training pipeline &ndash; from architecture to custom GPU kernels, as needed.
 
 
 
 As Part Of Our Team, You Will
 
 
 
 <ul>
 <li>
 Be responsible for improving end-to-end performance for multi-node LLM pre-training and post-training pipelines.
 </li>
 <li>
 Profile hotspots (Nsight Systems/Compute, NVTX) and fix them using compute/comm overlap, kernel fusion, scheduling, etc.
 </li>
 <li>
 Design and evaluate architecture choices (depth/width, attention variants including GQA/MQA/MLA/Flash-style, RoPE scaling/NTK, and MoE routing and load-balancing).
 </li>
 <li>
 Implement custom ops (Triton and/or CUDA C++), integrate via PyTorch extensions, and upstream when possible.
 </li>
 <li>
 Push memory/perf levers: FSDP/ZeRO, activation checkpointing, FP8/TE, tensor/pipeline/sequence/expert parallelism, NCCL tuning.
 </li>
 <li>
 Harden large runs by building elastic and fault-tolerant training setups, ensuring robust checkpointing, strengthening reproducibility, and improving resilience to preemption.
 </li>
 <li>
 Keep the data path fast using streaming and sharded data loaders and tokenizer pipelines, as well as improve overall throughput and cache efficiency.
 </li>
 <li>
 Define the right metrics, build dashboards, and deliver steady improvements.
 </li>
 <li>
 Run both pre-training and post-training (including SFT, RLHF, and GRPO-style methods) efficiently across sizable clusters.
 
 
 </li>
 </ul>
 We&rsquo;ll be happy to bring you on board if you have:
 
 
 <ul>
 <li>
 Strong PyTorch and PyTorch Distributed experience, having run multi-node jobs with tens to hundreds of GPUs.
 </li>
 <li>
 Hands-on experience with Megatron-LM/Megatron-Core/NeMo, DeepSpeed, or serious FSDP/ZeRO expertise.
 </li>
 <li>
 Real profiling expertise (Nsight Systems/Compute, nvprof) and experience with NVTX-instrumented workflows.
 </li>
 <li>
 GPU programming skills with Triton and/or CUDA, and the ability to write, test, and debug kernels.
 </li>
 <li>
 A solid understanding of NCCL collectives, as well as topology and fabric effects (IB/RoCE), and how they show up in traces.
 
 
 </li>
 </ul>
 
 Our Ideal Candidate Would Have Experience With
 
 
 
 <ul>
 <li>
 FlashAttention-2 and 3, CUTLASS and CuTe, TransformerEngine and FP8, Inductor, AOTAutograd, and torch.compile.
 </li>
 <li>
 MoE at scale (expert parallel, router losses, capacity management) and long-context tricks (ALiBi/YaRN/NTK scaling).
 </li>
 <li>
 Kubernetes or SLURM at scale, placement and affinity tuning, as well as AWS, GCP, and Azure GPU fleets.
 </li>
 <li>
 Web-scale data plumbing (streaming datasets, Parquet and TFRecord, tokenizer perf), eval harnesses, and benchmarking.
 </li>
 <li>
 Safety and post-training methods, such as DPO, ORPO, GRPO, and reward models.
 </li>
 <li>
 Inference ecosystems such as vLLM and paged KV.
 
 
 </li>
 </ul>
 
 We are an equal opportunity employer
 
 
 
 We know great ideas can come from anyone, anywhere. That&rsquo;s why we do our best to create an open and inclusive workplace &ndash; one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation.
 
 
 
 We process the data provided in your job application in accordance with the Recruitment Privacy Policy.
 
 
 
</div>

Research Engineer (LLM Training and Performance)

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