data engineer

data scientist

senior machine learning engineer Jobs in Amsterdam

senior machine learning engineer

ai engineer

data & ml infrastructure engineer Jobs in Amsterdam

data & ml infrastructure engineer

deep learning engineer

Bold Company

<div>
 <p>
  Als AI Engineer maak je deel uit van een centraal AI-team waar innovatie, experimenteren en technologische vooruitgang centraal staan. Je werkt nauw samen met developers, data scientists en business analisten om vraagstukken helder te krijgen en deze te vertalen naar schaalbare en intelligente AI-oplossingen. Denk hierbij aan toepassingen met large language models, machine learning en andere moderne AI-technologie&euml;n.
 </p>
 <p>
  In deze rol ben je verantwoordelijk voor het ontwerpen, ontwikkelen en implementeren van geavanceerde softwareoplossingen. Je denkt creatief mee, bouwt proof of concepts, optimaliseert deze en zorgt voor een zorgvuldige overdracht naar de ontwikkelteams waar de oplossing verder wordt uitgerold. Kwaliteit, performance en betrouwbaarheid staan hierbij centraal. Je krijgt veel ruimte om te werken met de nieuwste AI-ontwikkelingen en actief bij te dragen aan innovatieve toepassingen voor klanten.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Organisatie
  </strong>
 </p>
 <p>
  Voor een snelgroeiende en ambitieuze organisatie in regio Amsterdam zijn wij op zoek naar een Medior AI Engineer. De organisatie kenmerkt zich door een ondernemende en informele cultuur waarin samenwerking, innovatie en persoonlijke ontwikkeling vooropstaan. Binnen het bedrijf is een gespecialiseerd AI-team opgezet dat werkt aan uiteenlopende use cases die breed binnen de organisatie worden toegepast.
 </p>
 <p>
  Je komt terecht in een omgeving waar ambitie wordt aangemoedigd en waar ruimte is om grenzen te verleggen. Samenwerking, scherpte en continue groei vormen belangrijke pijlers binnen deze organisatie.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Functie-eisen
  </strong>
 </p>
 <ul>
  <li>
   Ervaring met het opzetten en implementeren van multi-agent architecturen;
  </li>
  <li>
   Ervaring met het toepassen van RAG-architecturen (Retrieval Augmented Generation);
  </li>
  <li>
   Ervaring met AI-technologie&euml;n zoals machine learning, deep learning, NLP of computer vision;
  </li>
  <li>
   Je hebt kennis van verschillende LLM-architecturen en begrijpt de voor- en nadelen van diverse AI-oplossingen;
  </li>
  <li>
   Ervaring met programmeertalen zoals Python, R, C# of vergelijkbaar, inclusief ervaring met CI/CD-processen;
  </li>
  <li>
   Je bent bekend met werken binnen een Agile/Scrum-omgeving;
  </li>
  <li>
   Ervaring met Azure is een pr&eacute;;
  </li>
  <li>
   Goede communicatieve vaardigheden en een sterke teamgerichte instelling.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Arbeidsvoorwaarden
  </strong>
 </p>
 <ul>
  <li>
   Salaris van &euro;4.000,- tot &euro;7.000,- per maand, afhankelijk van ervaring;
  </li>
  <li>
   8% vakantiegeld;
  </li>
  <li>
   26 vakantiedagen plus 4 extra vrije dagen verspreid over het jaar;
  </li>
  <li>
   Hybride werken met flexibiliteit tussen kantoor en thuis;
  </li>
  <li>
   Laptop en telefoonvergoeding;
  </li>
  <li>
   Thuiswerkvergoeding;
  </li>
  <li>
   Pensioenregeling;
  </li>
  <li>
   Ruimte voor professionele groei en ontwikkeling;
  </li>
  <li>
   Werken binnen een ambitieuze en innovatieve organisatie.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Meer informatie
  </strong>
 </p>
 <p>
  Voor meer informatie of vragen kun je gerust contact opnemen via &phone;️ 088 - 0184 700 of stuur een e-mail naar sander@boldcompany.nl. Ben je zelf niet actief op zoek maar ken je iemand die perfect bij deze rol past? Laat het ons weten, we denken graag mee.
 </p>
</div>


AI Engineer

European Tech Recruit

<div>
 <p>
  <strong>
   Senior Machine Learning Engineer
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  European Tech Recruit are working closely with a multinational semiconductor company, based in Amsterdam, who are looking for a talented
  <strong>
   Senior Machine Learning Engineer
  </strong>
  to join their cutting edge future research group
  <strong>
   .
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  As a Senior Machine Learning Engineer for their AI Research, you work directly with ML research teams to implement algorithms, conduct experiments, develop research-oriented software tools, as well as work together with both research and product teams to bring AI models to embedded devices.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Responsibilities as
  <strong>
   Senior Machine Learning Engineer
  </strong>
  :
 </p>
 <ul>
  <li>
   Rapid prototyping, large-scale experimentation and fast iteration, always emphasizing code quality, maintainability, and efficiency.
  </li>
  <li>
   Contribute to comprehensive system design and engineering efforts, facilitating the transition of research prototypes toward commercial deployment.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  Requirements:
 </p>
 <ul>
  <li>
   PhD or M.S. in computer science, electrical engineering, robotics, or a related field, or a B.S. with several years of employment in related fields.
  </li>
  <li>
   Excellent Python programming skills demonstrated through relevant industry or academic experience.
  </li>
  <li>
   Proven experience with machine learning and frameworks such as PyTorch and hands-on experience with training deep neural networks, generating and evaluating experimental results, and improving training pipelines.
  </li>
  <li>
   Proven experience with embedded computing and/or the Android platform, and a solid understanding of C++.
  </li>
  <li>
   Background in software development, incl. testing, debugging, and test-driven development.
  </li>
  <li>
   Ability to work in a multi-site software organization.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  Desirable Experience:
 </p>
 <ul>
  <li>
   Strong software design, development, and debugging skills combined with a solid foundation in AI and general ML techniques.
  </li>
  <li>
   Proven hands-on experience evaluating and optimizing Generative AI workflows for accuracy, performance, and other key metrics.
  </li>
  <li>
   Experience with optimization of algebraic operations in algorithms for HW cores.
  </li>
  <li>
   Prior experience with ML model optimization frameworks and a familiarity with applying techniques such as quantization, pruning, etc.
  </li>
  <li>
   Familiarity with containerization tools, test frameworks and static analysis tools and ability to work with continuous integration infrastructure.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  If this role is of any interest please apply directly on LinkedIn or send a copy of your CV to nh@eu-recruit.com.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <em>
   By applying to this role you understand that we may collect your personal data and store and process it on our systems. For more information please see our Privacy Notice (https://eu-recruit.com/about-us/privacy-notice/).
  </em>
 </p>
</div>


Senior Machine Learning Engineer

TomTom

<div><div><p>We are building a high-performance ADAS Online team focused on advancing state-of-the-art machine learning and AI algorithms for scene understanding and environmental awareness. As ML Staff Engineer, you will drive the algorithmic direction of our present and future in-vehicle spatial awareness stack while remaining deeply hands-on in model design, experimentation, and performance improvement. You will contribute as a senior technical authority and mentor within a small, high-velocity team.</p>
<p>
This spatial awareness stack will leverage modern transformer and end-to-end architectures to transform vehicle sensor data along with real-time 3D map data from the cloud into a 3D, semantically defined environment identifying all static and dynamic objects. This is a high-ownership technical role in a fast-moving, data-driven AI environment.</p>
</div>
<h3 class="jobSectionHeader"><b>What You'll Do</b></h3><div>
<ul><li>Define and drive the technical direction for physical AI algorithms</li>
<li>Define and execute on a technical roadmap towards state-of-the-art reinforcement learning using physical AI world models.</li>
<li>Design, implement, and improve ML / vision transformer models for 3D awareness and planning. These include Gaussian Splatting (3DGS), Diffusion, object detection, multi-object tracking, semantic segmentation, and occupancy modeling</li>
<li>Architect multi-modal fusion approaches (camera, LiDAR, RADAR) to build 3D environments</li>
<li>Per the roadmap, identify where larger end-to-end models should replace more traditional approaches</li>
<li>Apply advanced ML techniques (Transformers, representation learning, large-scale models) to improve perception performance</li>
<li>Lead structured experimentation and benchmarking to deliver measurable gains in accuracy and robustness</li>
<li>Translate research ideas into reliable, scalable ML solutions</li>
<li>Provide technical guidance and mentorship to perception engineers</li>
</ul></div><h3 class="jobSectionHeader"><b>What You'll Need</b></h3><div>
<ul><li>7+ years of experience in machine learning, vision transformers, diffusion, or computer vision</li>
<li>Deep expertise in modern deep learning architectures</li>
<li>Strong hands-on experience with PyTorch (or equivalent frameworks)</li>
<li>Proven experience building and iterating on large-scale ML models</li>
<li>Strong mathematical foundations in optimization and probabilistic modeling</li>
<li>Track record of delivering measurable improvements in ML system performance</li>
<li>Experience guiding technical decisions within a small engineering team</li>
</ul></div><h3 class="jobSectionHeader"><b>What's Nice to Have</b></h3><div>
<ul><li>Experience in autonomous systems or robotics perception</li>
<li>Publications or patents in machine learning or perception</li>
<li>Experience with 3D data representations (gaussian spatting, point clouds, BEV, voxel grids) and 3D engines like Unity</li>
<li>Familiarity with large-scale training or foundation models</li>
<li>Experience mentoring engineers in advanced ML topics</li>
</ul></div><div><b>What we offer<br>
</b></div><div></div><br>
<div>A competitive compensation package, of course.</div><div></div><div><br>
Time and resources to grow and develop, including a personal development budget and paid leave for learning days, as well as paid access to e-learning resources such as O&rsquo;Reilly and LinkedIn Learning.</div><div></div><div><br>
Time to support life outside of work, with enhanced parental leave plus paid leave to care for loved ones and volunteer in local communities.<br>
</div><div></div><br>
<div>Work flexibility, where TomTom&rsquo;ers, in agreement with their manager and team, use both the office and home to focus, collaborate, learn and socialize. It&rsquo;s all about getting the best out of both worlds &ndash; we ask TomTom&rsquo;ers to come to the office two days a week, and the remaining three are free to be worked in either location.</div><div></div><div><br>
Improve your home office with a setup budget and get extra support with a monthly allowance.</div><div></div><div><br>
Enjoy options to work from your home country and abroad for a set number of days each year, to visit family and friends, or to simply explore the world we&rsquo;re mapping.</div><div></div><div><br>
Take the holidays you want with a competitive holiday plan, plus an extra day off to celebrate your birthday.</div><div></div><div><br>
Join annual events like our Hackathon and DevDays to bring your ideas to life with talented teammates from around the world.</div><div></div><div><br>
Become a part of our inclusive global culture and have the chance to collaborate with a diverse community &ndash; we have over 80 nationalities at TomTom!</div><div></div><div><br>
Find out more about our global benefits and enjoy additional local benefits tailored to your location.</div><div></div><div><b><br>
Meet your team</b></div><div></div><div><br>
We are the ADAS &amp; ADS Product Unit, leading the production of TomTom&rsquo;s HD maps and ADAS technology.
</div><div>In a diverse team of applied scientists, engineers, data scientists, and more, equipped with a broad array of expertise, you&rsquo;ll collaborate on groundbreaking location-based technologies and applications.</div><div>
More specifically, you&rsquo;ll be at the forefront of the creation of advanced HD maps. You&rsquo;ll also help update these in real-time, ensuring our maps are pushing the world forward instantly. These maps will then go on to empower the largest car manufacturers, transportation giants, and major tech companies around the world.<br>
</div><div></div><br>
<br>
<div><b>At TomTom...</b></div><div></div><div><br>
You&rsquo;ll help people find their way in the world. In 2004, TomTom revolutionized how the world moves with the introduction of the first portable navigation device. Now, we intend to do it again by engineering the first-ever real-time map, the smartest and most useful map on the planet.</div><div></div><div><br>
Work with a team of 3,300+ unique, curious and passionate problem-solvers. Together, we&rsquo;ll open up a world of possibilities for car manufacturers, enterprises and developers to help people understand and get closer to the world around them.</div><div></div><div><b><br>
After you apply</b></div><div></div><div><br>
Our recruitment team will work hard to give you a meaningful experience throughout your journey with us, no matter the outcome. Your application will be screened closely and you can rest assured that all follow-up actions will be thorough, from assessments and interviews all the way through onboarding. To find out more about our application process, check out our hiring FAQs.</div><div></div><div><b><br>
TomTom is an equal opportunity employer</b></div><div></div><div><br>
TomTom is where you can find your place in the world. Every day we welcome, nurture and celebrate differences. Why? Because your uniqueness is what makes you, <i>you</i>. No matter your culture or background, you&rsquo;ll find your impact at TomTom. Research also shows that sometimes women and underrepresented communities can be hesitant to apply for positions unless they believe they meet 100% of the criteria. If you can relate to this, please know that we&rsquo;d love to hear from you.</div>
<p>
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</p></div>

Machine Learning Staff Engineer – ADAS Online

<div><b>Company Description</b><p><br>
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.</p><b><br>
Job Description</b><p><b><br>
What you will do</b><br>
As an expert in the field of Machine Learning Engineering you will be responsible for the growth of our Data team, both professionally as well as in size. You will be in charge of shaping and executing the future of your expertise within Sia. You will work on client projects as well as on building our own Sia AI solutions, together with our Dutch team of Data Scientists, our French Data Engineering team, and other business units of Sia Global.</p><p>
Your responsibilities include:</p><ul><li>
Leading an internal team towards the development of AI products;</li><li>
Working in a multidisciplinary team on client projects as an expert on your subject;</li><li>
Making architectural and design decisions for cloud environments;</li><li>
Building production level ML/AI solutions with solid software engineering;</li><li>
Guiding Data Scientists to scale up their models into production (parallelizing, optimizing, tuning, testing, and wrapping);</li><li>
Giving trainings, leading internal meetings and organizing external events;</li><li>
Participating in team meetings and workshops with clients;</li><li>
Writing blog articles, presenting at conferences and sending out press releases on the subject that you lead.</li></ul><p><b>
Who you will work with</b><br>
The Data Science team is young, diverse and growing (10+). You will join a team that will challenge you and invest in your professional development. We have a flat structure and rely on the entrepreneurial spirit of our members: initiative is highly encouraged. We are striving for well-being, diversity and knowledge-sharing inside the team, so that we can grow together.</p><p><b>
Who you are</b></p><ul><li>
You are an established technical professional that wants to make the next step in their career, taking on more leadership responsibilities.</li><li>
You have first-rate project management and time management skills.</li><li>
You are a true problem solver, you turn complex issues into simple and impactful business solutions.</li><li>
You are enthusiastic for applying Data Science/Engineering solutions to business problems.</li><li>
You have excellent communication skills and can present complicated concepts in a synthetic way.</li><li>
You have the ability to adapt rapidly and work on a range of different business areas within a challenging environment.</li><li>
You have the ability to work collaboratively in a team environment.</li></ul><p><b>
In return, you can expect:</b></p><ul><li>
An international company that gives importance to diversity, inclusion, employee well-being and corporate social responsibilities actions.</li><li>
A great working atmosphere with friendly and professional colleagues where innovation and entrepreneurship are encouraged</li><li>
A personal development plan with a regular follow-up as well training opportunities to develop yourself</li><li>
A competitive salary with great advantages, like mobility budget, hospital insurance, performance -related bonus,...</li></ul><br>
<b>
Qualifications</b><br>
<ul><li>
MSc level education in Computer Science, Applied Mathematics, Artificial Intelligence, Embedded Systems or related field of study.</li><li>
2-4 years of experience in building production-quality ML/Deep Learning pipelines and models.</li><li>
Good understanding of Machine Learning fundamentals and strong knowledge in a specific domain (e.g., Computer Vision, Deep Learning, NLP).</li><li>
Expert coding skills in Python and at least one of these languages: Scala, C++, Java.</li><li>
Hands-on experience with database management languages (e.g., SQL, PostgreSQL).</li><li>
Hands-on experience in cloud-based infrastructures (AWS/GCP/Azure).</li><li>
Hands-on experience with Unix-based command line and DevOps tools (Git, Docker, Kubernetes).</li><li>
Hands-on experience with big data technologies (e.g. Spark, Hadoop, Databricks).</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>
Experience with coaching/mentoring other engineers.</li><li>
Prior experience in Management Consulting is a strong plus.</li><li>
Willingness to travel and work at local and international clients.</li><li>
Fluency in spoken and written English and Dutch is required.</li></ul><br>
<b>
Additional Information</b><p><br>
We are unable to provide a work permit for this position</p><p>
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.</p><div></div><p>
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.</p></div>

Machine learning 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 <strong>
  As Part Of Our Team, You Will
  <br/>
  <br/>
 </strong>
 <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.
   <br/>
   <br/>
  </li>
 </ul>
 We&rsquo;ll be happy to bring you on board if you have:
 <br/>
 <br/>
 <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.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Our Ideal Candidate Would Have Experience With
  <br/>
  <br/>
 </strong>
 <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.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  We are an equal opportunity employer
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 <em>
  We process the data provided in your job application in accordance with the Recruitment Privacy Policy.
  <br/>
  <br/>
 </em>
</div>


Research Engineer (LLM Training and Performance)

Signify Technology

<div>
 Job title: Python Data/Machine Learning Engineer (Fluent in Dutch)
 <br/>
 <br/>
 Job type: Perm
 <br/>
 <br/>
 Salary: 70-80k + Bonuses
 <br/>
 <br/>
 Role Location: Amsterdam
 <br/>
 <br/>
 Role and responsibilities: You have an insatiable interest in, a passion for, and over five years of experience with the magical and fastest-growing Python language. If you work in data-driven environments as a Data Engineer, Data Scientist, or Data Analyst, and have an affinity for designing and building Data Pipelines and Machine Learning solutions, then we're looking for you.
 <br/>
 <br/>
 <strong>
  Job Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Python
  </li>
  <li>
   Python libraries and frameworks such as Pandas, scikit-learn, PySpark, Keras, TensorFlow and Airflow and tools such as Kafka and Docker.
  </li>
  <li>
   Experience in designing and building Data Pipelines.
  </li>
  <li>
   Experience with Machine Learning models in production environments.
  </li>
  <li>
   Experience with Machine Learning models such as Decision Trees / Random Forests, Deep Learning, simulations and optimization algorithms.
  </li>
  <li>
   Experience with Software Testing.
  </li>
  <li>
   Knowledge of methods such as Agile, Scrum and DevOps: CI/CD pipelines.
  </li>
  <li>
   Knowledge of containerization (Docker/Kubernetes).
  </li>
  <li>
   Knowledge of Relational and NoSQL databases.
  </li>
  <li>
   Knowledge of Cloud infrastructure (choice of Azure, AWS, Google, etc.).
  </li>
  <li>
   Fluent in Dutch
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Accessibility Statement
  <br/>
  <br/>
 </strong>
 Read and apply for this role in the way that works for you by using our Recite Me assistive technology tool. Click the circle at the bottom right side of the screen and select your preferences.
 <br/>
 <br/>
 We make an active choice to be inclusive towards everyone every day.? Please let us know if you require any accessibility adjustments through the application or interview process.
 <br/>
 <br/>
 <strong>
  Our Commitment To Diversity, Equity, And Inclusion
  <br/>
  <br/>
 </strong>
 Signify&rsquo;s mission is to empower every person, regardless of their background or?circumstances, with an equitable chance to achieve the careers?they deserve. Building a diverse future, one placement at a?time. Check out our DE&amp;I page here
</div>


Python Data/Machine Learning Engineer

<div>
 <p>
  We are looking for a
  <strong>
   Senior Data Platform Engineer
  </strong>
  to join our BUX team based in
  <strong>
   Amsterdam
  </strong>
  .
 </p>
 <p>
  <br/>
 </p>
 <p>
  Our
  <strong>
   Data &amp; AI
  </strong>
  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.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   The role
  </strong>
 </p>
 <p>
  As a
  <strong>
   Senior Data Platform Engineer
  </strong>
  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:
  <strong>
   operational excellence
  </strong>
  - keeping our cloud and data infrastructure reliable, secure, and cost-aware through its full lifecycle - and
  <strong>
   enabling teams
  </strong>
  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.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What you will do
  </strong>
 </p>
 <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>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What you need to succeed
  </strong>
 </p>
 <ul>
  <li>
   You have
   <strong>
    3+ years
   </strong>
   of experience in
   <strong>
    data platform/DevOps engineering
   </strong>
   , 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>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Nice to have
  </strong>
 </p>
 <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>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Our benefits
  </strong>
 </p>
 <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>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   BUX for everyone
  </strong>
 </p>
 <p>
  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.
 </p>
 <p>
  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.
 </p>
 <p>
 </p>
</div>


Senior Data Platform Engineer

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