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senior machine learning engineer Jobs in Amsterdam

senior machine learning engineer

(senior) cloud infrastructure engineer - aws · gcp · azure Jobs in Amsterdam

senior data platform engineer

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

<div>
 
 We are looking for a
 
 Senior Data Platform Engineer
 
 to join our BUX team based in
 
 Amsterdam
 
 .
 
 
 
 
 
 Our
 
 Data &amp; AI
 
 team is a lean, international group of engineers dedicated to making BUX a truly data-driven fintech. We pride ourselves on being "platform-first", building tools that scale rather than just fixing one-off requests. We like automation, empowering our internal users, and serving our clients in the best way we can. We work closely with other internal and external stakeholders to ensure data is high-quality and actionable. Outside of the code, we&rsquo;re a collaborative bunch who value open knowledge sharing, team lunches, and the occasional post-work drink in our hybrid office setup.
 
 
 
 
 
 
 The role
 
 
 
 As a
 
 Senior Data Platform Engineer
 
 at BUX, you will architect and build the engine that powers our data-driven present and future. You won't just be moving bits from A to B; you will be designing the scalable, self-service infrastructure that drives our Data, AI, Machine Learning, and Analytics Engineering efforts. You will join the Data &amp; AI team, taking ownership of a stack that bridges event streaming with deep analytical warehousing. Your mandate has two sides:
 
 operational excellence
 
 - keeping our cloud and data infrastructure reliable, secure, and cost-aware through its full lifecycle - and
 
 enabling teams
 
 with self-service patterns and strong developer experience. You will partner with security, compliance, and risk stakeholders so our data platform stays audit-ready and aligned with expectations for financial services and regulated data. From ensuring high availability across a distributed cloud environment to security and CI/CD pipelines, your work will be the bedrock upon which all BUX intelligence is built.
 
 
 
 
 
 
 What you will do
 
 
 <ul>
 <li>
 Design and maintain our core data infrastructure using GCP and Terraform. You take ownership of our network, security, and Kubernetes (GKE) posture, including managing cluster upgrades and resource scaling to ensure it is robust and cost-effective. You take care of private connectivity patterns, firewall rules, DNS, load balancing, and egress controls - so the platform stays defensible and operable.
 </li>
 <li>
 Develop internal tooling and APIs that empower our data consumers to self-serve, reducing friction between raw data and insights. Also work on features that directly deliver value to our customers.
 </li>
 <li>
 Refine our ingestion layers - managing the flow from Kafka and Pub/Sub into GCS - while maintaining a smooth, safe deployment and delivery process for platform changes.
 </li>
 <li>
 Improve workflows in Airflow, and contribute to ensuring the transformation layer is fresh using dbt.
 </li>
 <li>
 Design and test automated failover and self-healing patterns that withstand regional or major dependency failures. Shape disaster recovery and backup/restore for critical data paths where it matters, and treat observability (metrics, tracing, alerting) and clear SLOs as first-class platform responsibilities&mdash;before incidents, not only during them.
 </li>
 <li>
 Keep a hawk-eye on performance, reliability, and cost across our cloud and warehouse environments; turn signals into durable improvements and operational clarity.
 </li>
 </ul>
 
 
 
 
 
 What you need to succeed
 
 
 <ul>
 <li>
 You have
 
 3+ years
 
 of experience in
 
 data platform/DevOps engineering
 
 , with a track record of building production-grade platforms from the ground up.
 </li>
 <li>
 You bring a developer&rsquo;s mindset to data, with a deep understanding of testing, version control, API design, and building for scale.
 </li>
 <li>
 Deep experience with cloud providers (such as GCP/AWS) managed through Terraform, deploying services on Kubernetes and with serverless or managed services where appropriate.
 </li>
 <li>
 Strong grasp of network architecture (VPCs, segmentation, DNS, load balancing, private connectivity, egress controls) and identity (IAM-style access, workload identity patterns where relevant). You care about encryption, secrets handling, vulnerability-aware. operations, and secure CI/CD for infrastructure changes.
 </li>
 <li>
 You have a deep understanding of interconnected data systems and can architect them to fail gracefully while maintaining data integrity across the entire lifecycle.
 </li>
 </ul>
 
 
 
 
 
 Nice to have
 
 
 <ul>
 <li>
 Familiarity with high-throughput messaging (Kafka, Pub/Sub) and cloud storage (GCS). Experience with dbt for maintaining a clean, version-controlled transformation layer is a significant plus.
 </li>
 <li>
 Significant experience with Snowflake or similar high-performance warehouses: not just how to query, but how to manage, secure, and optimize them.
 </li>
 <li>
 Deep, hands-on experience with Python and SQL is a strong plus to help you hit the ground running.
 </li>
 <li>
 Hands-on experience with Airflow (or similar tools like Dagster or Prefect) is a strong plus for navigating our current environment.
 </li>
 <li>
 We value engineers who stay ahead of the curve by leveraging AI-assisted development tools (like GitHub Copilot or Cursor) and have an interest in or experience with ML platforms like VertexAI.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Our benefits
 
 
 <ul>
 <li>
 International work environment
 </li>
 <li>
 Company pension plan
 </li>
 <li>
 Flexibility is at our core; we offer a hybrid work environment (1-2 days at the office)
 </li>
 <li>
 Working from home allowance
 </li>
 <li>
 Mobility benefit
 </li>
 <li>
 Gym membership contribution via Urban Sports
 </li>
 <li>
 Learning budget and full access to our learning and development platform
 </li>
 <li>
 A1 Dutch language course for you (and your partner)
 </li>
 <li>
 Delicious lunches at the office
 </li>
 <li>
 The possibility to work from abroad for 1 month every 12 months
 </li>
 <li>
 Take care of your mental and emotional well-being with unlimited appointments with psychologists or coaches through OpenUp
 </li>
 <li>
 Regular team gatherings and fun company events
 </li>
 </ul>
 
 
 
 
 
 BUX for everyone
 
 
 
 At BUX, we&rsquo;re committed to making investing accessible and affordable for everyone through our intuitive app. We believe that a diverse team with a range of backgrounds, skills, and perspectives is key to achieving this mission. By embracing diversity, we strengthen our ability to innovate and serve our customers better.
 
 
 To fully benefit from our diversity, it&rsquo;s essential that everyone feels safe, included, and valued. We are dedicated to creating a workplace where each of us can bring our full selves to work and contribute to our shared goals.
 
 
 
</div>

Curve Royalty Systems

<div>Curve are looking for an experienced Senior Java Engineer to join our growing organisation. This role will be central to the data engineering team whose purpose is to re-architect our backend financial data mapping and transformation processes into ETL pipelines optimised for cost, speed, accuracy and scalability.

This is a key role within a highly collaborative engineering team, working on systems that process complex royalty, financial and rights-related data at significant scale. You will help shape the next generation of Curve's platform, replacing legacy workflows with robust, testable and scalable Java-based services and data pipelines.

The ideal candidate will be comfortable working across software engineering, data engineering and cloud infrastructure. They will bring strong backend engineering experience, a pragmatic approach to technical decision-making, and the ability to work closely with product, engineering and operational teams to deliver reliable systems that support our clients and their artists, labels, distributors and publishers. 


Responsibilities:
<ul>
<li>Collaborate with stakeholders in the product and engineering teams to shape, deliver and maintain a brand-new Best-in-Class royalties platform</li>
<li>Migrate existing business logic from legacy applications to Java modules running in ETL pipelines scaled to run thousands of concurrent processes</li>
<li>Contribute to the architecture, deployment and optimisation of secure and highly performant infrastructure via IaC and CI/CD pipelines</li>
<li>Contribute to the architecture, development, deployment, support, testing and monitoring of software across test, integration and production environments</li>
<li>Debug software and infrastructure components and identify defects for remediation</li>
<li>Design and coding of Apache Beam pipelines to deliver distributed, scalable and highly performant systems using Java</li>
<li>Help define engineering standards, patterns and best practices for backend Java development and ETL pipeline design</li>
<li>Work with large, complex datasets, ensuring transformations are accurate, auditable and performant</li>
<li>Contribute to technical design discussions, architectural reviews and implementation planning</li>
<li>Build systems with observability, resilience, security and operational support in mind</li>
<li>Support the continuous improvement of our development workflows, deployment processes and engineering tooling</li>
<li>Work closely with QA and Technical Operations teams to ensure software is tested, monitored and supportable in production</li>
<li>Take ownership of technical problems from investigation through to delivery and ongoing improvement</li>
<li>Share knowledge with the wider engineering team through documentation, code reviews, mentoring and collaborative problem-solving</li></ul> 


Requirements:
<ul>
<li>6+ Years software engineering experience at a senior level</li>
<li>Excellent written and verbal communications skills</li>
<li>Significant hands-on experience in enterprise level software development</li>
<li>Solid understanding of ETL processes and implementation</li>
<li>Advanced technical skills in the areas of microservices, APIs and Java</li>
<li>Willingness to learn, coach and mentor</li>
<li>Great team collaboration skills</li>
<li>Ability to take responsibility for the product</li>
<li>Strong understanding of software design principles, clean code, testing and maintainability</li>
<li>Experience designing, building and supporting backend systems in production environments</li>
<li>Comfortable working with cloud-based infrastructure, CI/CD pipelines and modern deployment practices</li>
<li>Experience working with non-relational database technologies, data modelling and large-scale data processing</li>
<li>Ability to balance technical quality with pragmatic delivery in a fast-moving environment</li>
<li>Strong debugging, analytical and problem-solving skills</li>
<li>Comfortable working in a distributed or remote-first team environment</li>
<li>A proactive approach to ownership, communication and continuous improvement</li></ul> 


Experience in the following would be an advantage: 
<ul>
<li>Music Industry / Royalties / Financial Services</li>
<li>Dataflow (Apache Beam), Spark, or similar technologies</li>
<li>JavaScript / Typescript</li>
<li>Google Cloud Platform, AWS or similar cloud platforms</li>
<li>Building systems that require strong auditability, traceability and data accuracy</li>
<li>Working with financial calculations, reporting platforms or revenue allocation systems</li></ul> 
 
About You 

You are a thoughtful and experienced engineer who enjoys solving complex backend and data-processing problems. You care about quality, but you are pragmatic enough to know when to move quickly and when to slow down and get the foundations right.

You are comfortable taking ownership of important technical work, but you also value collaboration and shared understanding. You enjoy working with other engineers, product managers, QA specialists and operational teams to make sure what gets built is useful, reliable and maintainable.

You do not need prior music industry experience, but you should be interested in working on technology that supports independent labels, distributors, publishers and rights-holders. You will be joining a team that values trust, communication, technical curiosity and continuous improvement. 


Why join Curve?

At Curve, you will have the opportunity to work on meaningful, technically challenging systems at the heart of the independent music industry. Our platform supports complex royalty processing, financial data transformation and reporting workflows for a growing global client base.

You will join a growing technology team with a strong focus on engineering quality, collaboration and scalable delivery. This role offers the chance to influence architecture, improve core platform capabilities, and contribute directly to systems that make a real difference for our clients and the creators they represent.</div>

Java 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)

XEBIA

<div><h3 class="jobSectionHeader">Does This Sound Like You?
</h3>You're a data engineer or senior data professional with solid engineer and/or Azure foundations who wants to take the next step into Microsoft Fabric. You already understand what it means to build and maintain data systems in production, and now you're ready to deepen your expertise on the platform that's becoming the standard for many enterprises. You're pragmatic, eager to grow fast, and excited to bring engineering best practices to the Fabric ecosystem.<h3 class="jobSectionHeader">
The Xebia Data Division</h3>
Xebia Data is one of the divisions of Xebia Netherlands, which is renowned for its expertise in building strong Data and AI practices to deliver value to our clients. In the past, our team has predicted daily bread demand for millions of loaves, built advanced energy-saving algorithms at a national scale, and established data innovation labs at large multinational companies!
You&rsquo;ll work with the sharpest data professionals in Europe, people who are not only technically brilliant but also generous with their knowledge. We enjoy the benefits of being part of a large organization while maintaining the energetic atmosphere of a scale-up. Our commitment to our community is strong; we are deeply rooted in the local landscape.
<h3 class="jobSectionHeader">The Fabric Program</h3>
This program is designed for experienced data professionals who want to specialize in Microsoft Fabric.
 
 
You'll kick off with an intensive week of hands-on training led by our team. The training covers not just Fabric as a platform, but also the underlying foundations it's built on top of, so you understand the why, not just the how. After that, you'll dive straight into client projects with the support of our experienced Fabric engineers by your side.
<h3 class="jobSectionHeader">What You&rsquo;ll Be Doing To Make Organizations Data-Driven
</h3>Microsoft Fabric is becoming the go-to data platform for many organizations, and teams are eager to unlock its full potential. That's where you come in. You'll help clients adopt Fabric the right way: with proper engineering practices, reproducible deployments, testable code, and architectures that scale. 
 
You use your communication skills as much as your technical skills. You explain your design choices, align stakeholders, and help client teams make confident decisions about their data platform. You will be surrounded by experts from diverse fields and learn from different environments and industries.
You will work on projects of varying lengths. Some are three weeks, some are one year, most are in between. Every project is different, as is every client. You'll work in mixed teams of Xebians and client engineers, contributing directly to the backbone that powers data products. 
 
When on-site with clients, you may encounter something very difficult to solve. At Xebia we work as a team and we've got your back. Everyone is just a message away and ready to help! We say People First, and we mean it.<h3 class="jobSectionHeader"> 
What are we looking for</h3>
This position requires at least 3 years of relevant professional experience in data engineering, BI engineering, Analytics Engineering, Azure engineering, DevOps, or a related technical field. You don't need Fabric experience; that's what the program is for. What matters is that you have a strong technical foundation and the drive to develop yourself quickly. 
 
This program is perfect for:
<div><div><ul><li>Data engineers who have worked with tools like Spark, Airflow, dbt, or cloud data platforms and want to add Fabric to their toolkit.</li></ul></div><div>
Engineers from adjacent data fields who already apply engineering best practices (e.g., version control, CI/CD), have Azure affinity, and want to move deeper into data engineering on Fabric. 
<ul><li>
</li></ul></div></div> 
 
That said, we like to be amazed. If you have unique achievements, like contributing to open-source projects or building something exceptional, we encourage you to apply. 
 
If you already have extensive hands-on experience with Microsoft Fabric and are a Data Engineer, consider our regular Fabric Data Engineer role instead.
 Important: We&rsquo;re only looking for candidates who live in the Netherlands (we are not relocating at the moment).<h4 class="jobSectionHeader">
This is your dream job if&hellip;.</h4> 
✅ You have solid experience in data engineering, BI engineering, or software engineering and want to specialize in Microsoft Fabric.
✅ You care about software engineering fundamentals like version control, testing, CI/CD, and code review, and want to bring these to the Fabric ecosystem.
✅ You're eager to develop yourself quickly and aren't afraid of a steep learning curve.
✅ You have experience with cloud platforms (Azure, AWS, GCP) and/or tools like Spark, Terraform, dbt, or Airflow.
✅ You like working for different clients and enjoy learning in new environments and meeting new people on a regular basis.<h4 class="jobSectionHeader">
This is not your dream job if&hellip;.</h4>
❌ You prefer clicking through UIs over writing code. We believe in engineering our data platforms, not just configuring them.
❌You're not interested in how things work under the hood. We want people who dig deeper.
❌ You don't enjoy sharing knowledge. We write, speak, and teach because it's part of who we are.
❌ You prefer to work alone and get drained from having to explain why you made certain technical choices.
❌ You're looking for a junior or entry-level position. This program requires at least 3 years of professional experience.<h2 class="jobSectionHeader"> 
The Xebia Way</h2>
We believe in building a respectful and collaborative atmosphere where everyone can shine. Picture this: a team of curious minds, always eager to learn and share ideas. We are especially proud of our generous educational budget and our &ldquo;Hack-What-You-Want&rdquo; Fridays, where you can dive into projects that excite you. We champion our consultants to grow into advisors and thought leaders, whether that&rsquo;s publishing blogs, speaking at events, or shaping conversations about Data &amp; AI.
Xebia is a Great Place to Work certified organization driven by technology evangelists in Data and AI. Our global presence has a proven record of success across industries.
<h4 class="jobSectionHeader">Our Commitment to You</h4><div><div><ul><li>
Enjoy free healthy lunches and not-so-healthy drinks/snacks at our offices.</li><li>
Variety in clients and challenges. No boring maintenance, always learning</li><li>
Get a lease car or mobility budget</li><li>
Pick whatever laptop or MacBook you like!</li>
Choose your phone<li>
You can work on that innovative idea of yours next to other colleagues during our monthly Xebia Data Fridays.</li></ul></div><div><ul><li>
You can build/test/experiment with anything you want in our sandbox environments in GCP, AWS, and Azure
</li><li>Pension plan.
</li>Fun events and activities like ski trips, BBQs, cooking workshops and more! &zwj;<li>
Career strategy support to help you scale your skills and leadership</li>
Unlimited book budget<li>
A modern and dog friendly office in Amsterdam, Oostenburg.</li></ul></div></div> 
Our core values are people first, quality without compromise, knowledge sharing, and customer intimacy. At Xebia Data, you will find like-minded colleagues who are at the forefront of their field and have the courage to go off the beaten track; they are the people who make organizations move.
Sounds interesting? Let&rsquo;s talk.</div>

Fabric Data Engineer - Cross Skilling Program

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

Doghouse Recruitment

<div>
 
 
 Data Engineer &ndash; SaaS (Amsterdam / Hybrid / up to &euro;85K + bonus)
 
 
 
 
 
 
 My client is looking for a Data Engineer to help take their customer app to the next level. The app is used by over 700,000 users and relied on daily by thousands, playing a key role in enabling more sustainable travel by bike, car, and scooter. In this role, your work will directly influence how people move through their cities every day.
 
 
 
 
 
 You will join a passionate team of 20 engineers working with modern technologies, focused on building new features, improving performance, and delivering an outstanding user experience. On top of this, the company is preparing for a major data migration and expects to onboard an additional 100,000 users in the short term making scalability, reliability, and performance more critical than ever.
 
 
 
 
 
 
 The role
 
 
 
 You will be working on a modern data platform built with Clickhouse, Airflow, Python, Docker, and Kubernetes. The platform processes large volumes of operational and event data and delivers reliable analytics at scale.
 
 
 
 
 
 In this role, you will design, build, and maintain robust data pipelines, improve and optimise data models, and help further develop the overall data platform. You will work closely with product and engineering teams to ensure data is accurate, reliable, and scalable across the organization.
 
 
 You will join a strong engineering environment where modern tooling, ownership, and impact are key.
 
 
 
 
 
 
 Requirements
 
 
 <ul>
 <li>
 5+ years of experience as a Data Engineer or similar role
 </li>
 <li>
 Strong experience with Python and building data pipelines
 </li>
 <li>
 Hands-on experience with DBT, Snowflake, Airflow, or similar orchestration tools
 </li>
 <li>
 Experience with CI/CD, Docker &amp; Kubernetes.
 </li>
 </ul>
 
 
 
 
 
 Benefits
 
 
 <ul>
 <li>
 Salary up to &euro;85K (including holiday allowance)
 </li>
 <li>
 Hybrid working model (60/40)
 </li>
 <li>
 Start with a 12-month contract, with permanent hire thereafter
 </li>
 <li>
 &ldquo;Check-out day&rdquo; every two weeks for a mental reset
 </li>
 <li>
 Bonus scheme
 </li>
 <li>
 &euro;2,000 annual learning budget
 </li>
 <li>
 Ability to work remotely for 2 weeks per year (including workations)
 </li>
 </ul>
 
 
 
 
 
 Interested? Apply or contact me at glenn@doghouse-recruitment.nl
 
 
</div>

Data Engineer

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