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data engineer internship Jobs in Amsterdam

data engineer internship

ai engineer intern

GAIDE

About GaideGaide is the strategic AI partner for SMB+. We help organizations unlock the value of AI step by step - from defining a clear AI strategy and building AI literacy to full implementation. Together with our clients, we build human-centered, AI-driven organizations, where AI becomes embedded in the DNA of core business activities.As an intern, you won&rsquo;t just observe this journey - you&rsquo;ll help apply and scale AI from within Gaide itself.What will you do?As an AI Engineer Intern, you will work hands-on on applying AI inside Gaide. You&rsquo;ll be embedded across teams and work closely with AI consultants and AI engineers, learning how AI solutions are designed, built, and deployed in practice.Your focus is on shipping real internal AI solutions, primarily using low-code / no-code tools, while gradually deepening your technical understanding.Your responsibilities include:<ul><li>Working alongside AI consultants to identify and shape internal AI use cases</li><li>Translating business and operational needs into practical AI-powered workflows</li><li>Designing and building low-code / no-code AI automations and agents for internal teams</li><li>Supporting internal AI projects from idea through deployment and iteration</li><li>Testing, improving, and maintaining deployed internal AI solutions</li><li>Learning how AI engineers approach architecture, integration, and reliability</li><li>Acting as a bridge between business context and technical implementation</li><li>This is a forward-deployed role: you don&rsquo;t wait for perfect specs - you iterate, deploy, learn, and improve.</li></ul>What you bring<ul><li>You are currently enrolled in a Bachelor&rsquo;s or Master&rsquo;s program (e.g. Computer Science, AI, Data Science, Business Analytics, or related)</li><li>You are comfortable working with low-code / no-code tools, prompts, and automations</li><li>You have a strong interest in AI systems and how they are used in real organizations</li><li>You are curious, proactive, and enjoy learning from experienced practitioners</li><li>You can work independently, take ownership, and communicate clearly</li><li>You enjoy improving workflows and making systems more effective</li><li>You are comfortable in a fast-paced startup environment</li></ul>You don&rsquo;t need deep engineering expertise - learning mindset and execution matter most!What we offer<ul><li>A paid, hands-on internship with real ownership and visible impact</li><li>Minimum 3 days per week, flexible around your studies</li><li>Daily exposure to how AI consultants and AI engineers work in practice</li><li>Strong learning curve across consulting, product thinking, and applied AI</li><li>Hybrid setup: working from our Keizersgracht office in Amsterdam and remotely</li><li>A strong opportunity to continue at Gaide after the internship (working-student role or permanent position), depending on mutual fit</li><li>An ambitious team that values initiative, pragmatism, and growth</li></ul>How to applyInterested? Let&rsquo;s talk.Apply through this link: https://forms.clickup.com/9012069442/f/8cjjh22-55212/IOAGVMZA64CKZD1F4KJob Types: Part-time, Internship Contract length: 5-6 monthsWork Location: Hybrid remote in 1016 Amsterdam Centrum

AI Engineer Intern

Seenons bv

<div><h2 class="jobSectionHeader">Your launchpad to a career with impact</h2> 
Seenons is a tech company on a mission: a world without waste. As a certified B Corp, we&rsquo;re building the digital logistics infrastructure that enables organizations to separate, track, and route waste to its next best use, turning a fragmented, outdated system into one that&rsquo;s circular and future-proof. 
Our international platform brings together all players in the waste industry for circular waste management. We help large organizations reduce waste and save valuable resources from going to waste. We are currently active in four European countries and are planning to expand. As of now we are looking for a Software Engineer Intern (internally we use the title Product Engineer Intern) to join our Tech team.<h3 class="jobSectionHeader">
About the role</h3>
You'll join our engineering team of 8, working across our internal Cockpit and three customer-facing apps (Waste Saver, Data, Partner Portal). We work as one team, broken into smaller monthly projects - so you'll get to touch most of the platform during your time with us.
What you&rsquo;ll be doing:<ul><li>
Ship features end-to-end across the stack (frontend, backend, a bit of data, a bit of infra - whatever the problem needs)</li><li>
Use AI tooling (Claude, agents, and more) as a core part of how you build</li><li>
Talk to the people who'll use what you build, whether that's our internal business users or our customers out in the world</li><li>
Contribute to our internal libraries, patterns and the way we work</li></ul><h3 class="jobSectionHeader">
We&rsquo;d like to hear from you, if you</h3><ul><li>
Are AI-native: you've already built things with LLMs, you know what they're good at and (more importantly) what they're not, and you're allergic to &quot;but AI said so&quot; as a defense.</li><li>
Are eager to take ownership and have proved it with school projects, side projects, internships, or something you can show us.</li><li>
Have some experience with TypeScript, JavaScript or Python - ideally with a frontend framework (we use Vue), a backend one (we use NestJS), or both. Want to contribute full stack, even if you don't know all parts of it yet.</li><li>
Are pragmatic - you'd rather ship a useful 80% than polish a 100% that nobody asked for.</li><li>
You ask &quot;why are we doing this?&quot; and &quot;have we talked to a user?&quot; before reaching for the keyboard.</li><li>
Thrive in a dynamic environment where collaborating with a product manager, designer, engineers and end-users is part of the job.</li><li>
Study in the Netherlands and would like to work from the office at least three days a week.
</li></ul>Ah, one more thing...
If you&rsquo;re not entirely sure whether you meet all the requirements, but you&rsquo;re enthusiastic about us and the role, apply anyway! We want people who are also willing to take risks. Together we learn and grow.<h3 class="jobSectionHeader"> 
What you get with us</h3><ul><li>
Drive impact in the pursuit of a zero-waste future.</li><li>
Learn by doing alongside engineers who'll review your PRs properly.</li><li>
Join a supportive, collaborative team of 80+ international colleagues in a thriving scaleup.</li><li>
Work from our Amsterdam Houthavens office with a panorama harbor view, close to Amsterdam CS and Sloterdijk - with commuting costs reimbursed.</li><li>
Join fun events and office drinks to celebrate successes.</li></ul><h3 class="jobSectionHeader">
Done wasting?</h3>
Great, so are we. Tell us why this role excites you and how you&rsquo;d use your skills to help us grow. No long cover letter needed, just thoughtful input in our application form will do. Apply now, and let&rsquo;s build a waste-free future together.</div>

Internship: Software Engineer

Tesla

<div>What to Expect<div>
Start Date: September 2026 
Location: Amsterdam 
Duration: 6 Months 
Length: Fulltime (40h a week)
Please note: In order to be considered, you must be enrolled in education for the full duration of the internship.
The Data Engineer Intern will support the development of data pipelines, systems, and processes for Tesla&rsquo;s Environmental Health, Safety and Security (EHS&amp;S) Org. The intern will have a unique opportunity to improve how Tesla uses data in an EHS&amp;S context. This includes collecting and processing data while ensuring quality and availability for downstream uses. This role has a strong technical component, where critical and structured thinking are a big bonus.
Data is deeply embedded in the culture at Tesla. We rely on data &ndash; lots of it &ndash; to improve our products, to optimize results, and to proactively detect opportunities for advancement. As an EHS&amp;S Data Engineer Intern, you will be part of the team that solves issues that affect Tesla&rsquo;s impact on the environment and employee health, safety, and security by using data and reporting metrics to identify potential problems in the field, investigate discrepancies, and initiate repair actions when needed. Your tasks will include data extraction, transformation, and loading (ETL) processes, as well as assisting in the development of data models and integration with various data sources.</div> 
What You'll Do<div><ul><li>
Assist in the design, development, and maintenance of ETL/ELT processes that collect and transform data from diverse sources</li><li>
Collaborate with the team to optimize data pipelines and ensure reliability in our processes</li><li>
Implement quality checks and monitor data integrity throughout the data flow</li><li>
Work with various stakeholders to understand their data needs and translate requirements into effective data solutions</li><li>
Write and optimize dbt/SQL queries to retrieve and manipulate data from our warehouse solution</li><li>
Develop Python scripts to automate data-related tasks and improve overall data workflow</li><li>
Contribute to the documentation of data engineering processes, data models, and best practices</li></ul></div> 

What You'll Bring<div><ul><li>
Currently pursuing a degree in Computer Science, Data Science, or a related field</li><li>
Good working knowledge of SQL language and relational databases (e.g., MS SQL, MySQL)</li><li>
Strong understanding of Python and ability to write efficient and well-documented code</li><li>
Solid problem-solving and critical thinking skills</li><li>
Level C1 English (written and spoken)</li><li>
Eagerness to learn and adapt to new technologies and tools in the data engineering domain</li><li>
Familiarity and experience with data warehousing concepts, Apache Airflow, dbt, ELT/ETL processes is a plus</li></ul></div> 
Tesla is an Equal Opportunity / Affirmative Action employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state or local laws. 
 
Tesla is also committed to working with and providing reasonable accommodations to individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the interview process.</div>

Data Engineer Internship

kaiko.ai

<div>
 
 About Kaiko
 
 
 
 kaiko.ai is a clinical AI research lab in Zurich and Amsterdam. We train our own large-scale frontier-class models end to end, on our own compute. The full stack is in scope, from training infrastructure and post-training algorithms to data generation, evaluation, and production inference.
 
 
 Our models are developed and deployed at leading European hospitals, and that deployment feeds back into the next training cycle.
 
 
 We're hiring interns across the lab. You'll work on the real problems of training and serving these models in a regulated clinical setting.
 
 
 
 The Opportunity
 
 
 
 As an ML Research Intern, you will be embedded in our core research team for six months, working alongside PhD researchers and senior engineers on problems that directly shape our clinical foundation model. You will own real work, contribute ideas, and see your output reflected in our system.
 
 
 Depending on your background and preferences, your project may sit in one of the following areas:
 
 
 <ul>
 <li>
 Data: Synthetic clinical data generation, multimodal data pipelines, curation and quality filtering.
 </li>
 <li>
 Evaluation: Clinical benchmarks, agentic eval design, measurement infrastructure for the production stack.
 </li>
 <li>
 Scaling: Continued pre-training on clinical corpora, post-training algorithms, distributed training at frontier scale.
 </li>
 <li>
 RL: Agentic RL on real clinical workflows, reward modeling, RL infrastructure.
 </li>
 <li>
 Acceleration: Inference &amp; Training optimisation, serving stack, quantisation and throughput tuning.
 
 
 </li>
 </ul>
 You will discuss and agree on your specific focus during the interview process, based on mutual fit and current priorities.
 
 
 
 Who You Are
 
 
 
 We are looking for MSc students or recent graduates in machine learning, computer science, or a related quantitative field. We care more about sharp thinking, high agency, and genuine curiosity than a perfect CV.
 
 
 
 You should bring:
 
 
 
 <ul>
 <li>
 Strong programming in Python and comfort with ML frameworks (PyTorch or equivalent).
 </li>
 <li>
 Hands-on experience with ML research or engineering, ideally in training, post-training, RL, data, or evaluation. Coursework, thesis, internship, or open-source all count.
 </li>
 <li>
 Clear technical communication, in design docs and in discussion with researchers, engineers, and clinical scientists.
 </li>
 <li>
 Motivation to work on hard problems with real ownership. Intern projects ship into the live training and serving stack.
 
 
 </li>
 </ul>
 The specific area depends on the project. None of these are required upfront.
 
 
 
 Why kaiko
 
 
 
 <ul>
 <li>
 Work at the frontier: you will be in the room with PhD researchers and engineers who have built production ML systems at top labs and institutions. Expect to be challenged and to grow fast.
 </li>
 <li>
 Ownership: you will set goals, make decisions, and present your findings directly to the research team, not to an intern coordinator.
 </li>
 <li>
 Conversion pathway: strong interns are actively considered for full-time roles. This is how we build the team.
 </li>
 <li>
 Fair compensation: an internship salary of CHF4000/EUR3000 gross per month
 
 
 </li>
 </ul>
 
 Interview Process
 
 
 
 We keep it fast. The process typically involves three steps:
 
 
 <ul>
 <li>
 Screening call (30 min): motivation, background, and initial fit.
 </li>
 <li>
 Technical assessment: a short, focused problem relevant to your area, reviewed together in a follow-up conversation.
 </li>
 <li>
 Onsite or video interview: meet the team, go deeper on your thinking, and align on project fit.
 
 
 </li>
 </ul>
 We review applications on a rolling basis. If you are finishing your degree this summer and want to start in September, apply now.
</div>

ML Research Graduate Internship

Abel

AI Engineer (Hybrid, Randstad) &mdash; get matched, skip the applicationsAlt titles per board if you want variation: 'AI Engineer &mdash; Netherlands (Hybrid)', 'AI / ML Engineer &mdash; matched to vetted companies'Short summary (for board preview fields)Tell Abel what you want in your next AI role and get matched with the right companies in days, not months. No applications, no noise. Hybrid roles across the Randstad.Full description (English &mdash; primary)Find your next AI role in days, not months.Abel is an AI hiring concierge for AI engineers. Instead of firing off applications into the void, you tell Abel what you want &mdash; the problems you want to work on, the stack, the comp, the way you like to work &mdash; and Abel matches you with companies that actually fit. No spray-and-pray applications. No recruiter noise.We are matching AI engineers with hybrid roles across the Randstad right now.What we look for:<ul><li>Hands-on experience building with modern AI/ML &mdash; LLMs, ML pipelines, or applied AI in production</li><li>Strong engineering fundamentals (Python and at least one production codebase you are proud of)</li><li>You want a role that fits, not just any role</li></ul>What you get:<ul><li>Matched with vetted companies that fit your goals, not a pile of cold listings</li><li>Hybrid roles based in the Randstad (Amsterdam, Rotterdam, Utrecht, Den Haag)</li><li>One conversation, then the right introductions &mdash; you stay in control the whole way</li></ul>How it works:<ul><li>Tell Abel what you want</li><li>Get matched with companies that fit</li><li>Meet only the ones worth your time</li></ul>Join Abel: https://getabel.ai/Salaris: &euro;3.058,84 - &euro;12.000,00 per maandWerklocatie: Fysiek

Senior AI engineer

<div>
 Ben jij een Senior Machine Learning Engineer met interesse in het bouwen van Generative AI-oplossingen? Dan biedt deze rol bij KPN jou de kans om jouw AI-engineeringvaardigheden in te zetten binnen een AI-expertiseteam van Data Scientists en Machine Learning Engineers. In ons team werken we samen aan het verkennen, ontwikkelen en toepassen van de nieuwste (Gen)AI-technologie&euml;n. Je komt terecht in een jong, dynamisch team binnen het AI Excellence Center in Amsterdam, waar hybride werken, samenwerking en groeimogelijkheden centraal staan. Klaar om jouw carri&egrave;re naar een hoger niveau te tillen?
 
 
 Jouw rol als Senior Machine Learning Engineer
 
 
 In deze rol ben jij de drijvende kracht achter het ontwikkelen van nieuwe technologie&euml;n tot bouwstenen waarmee de hele organisatie GenAI-usecases kan realiseren. Je gebruikt geavanceerde software en tools om ervoor te zorgen dat deze oplossingen niet alleen werken, maar ook schaalbaar, betrouwbaar en continu beschikbaar zijn.
 
 
 Jouw dagelijkse werkzaamheden omvatten:
 
 
 <ul>
 <li>
 Ontwikkelen en onderhouden van production grade GenAI-oplossingen
 </li>
 <li>
 Prioriteiten bepalen en invloed uitoefenen op de roadmap van het GenAI Lab
 </li>
 <li>
 Operationaliseren en integreren van GenAI-technologie in bedrijfsprocessen, IT en dataplatformen
 </li>
 <li>
 Continu samenwerken met teamleden, domeinexperts en business stakeholders om de meest effectieve oplossingen te realiseren
 </li>
 <li>
 Begeleiden van junior teamleden en bijdragen aan AI Excellence
 
 
 </li>
 </ul>
 Dit is je team
 
 
 Je sluit je aan bij het jonge, enthousiaste Data Science Lab-team binnen het AI Excellence Center, bestaande uit meer dan 30 hoogopgeleide en energieke collega&rsquo;s.
 
 
 Als onderdeel van de AI-community werk je nauw samen met diverse specialisten, waaronder business stakeholders, domeinexperts, data engineers, software engineers, ML engineers, wiskundigen en data scientists.
 
 
 We hebben een hechte en groeiende AI-community van ongeveer 100 mensen uit verschillende teams en afdelingen. Elke maand organiseren we een VrijMiBo, een kennisuitwisseling en leuke activiteiten zoals padel, klimmen of pubquizzen.
 
 
 Wat breng
 
 
 jij ons?
 
 
 Je bent leergierig en flexibel, zowel technisch als persoonlijk. Je bent analytisch sterk en hebt een groot verantwoordelijkheidsgevoel. Je vindt het leuk om zowel technische als niet-technische collega&rsquo;s te betrekken bij je werk.
 
 
 Om succesvol te zijn in deze rol, breng je mee:
 
 
 <ul>
 <li>
 Minimaal 5 jaar ervaring als AI/ML Engineer of vergelijkbaar
 </li>
 <li>
 Een masterdiploma met een technische component, zoals Computer Science of Software Engineering
 </li>
 <li>
 Aantoonbare ervaring met het bouwen van production grade GenAI-applicaties (zoals RAG, Agentic AI, etc.)
 </li>
 <li>
 Ervaring met Python
 </li>
 <li>
 Ervaring met Azure en Infrastructure-as-Code
 </li>
 <li>
 Ervaring met ML-libraries, REST API&rsquo;s, microservices (Docker, Kubernetes, etc.)
 </li>
 <li>
 Uitstekende kennis van software-engineeringmethodologie&euml;n en best practices, waaronder coding standards, code reviews, versiebeheer, CI/CD, testen en security
 
 
 </li>
 </ul>
 Wat krijg je
 
 
 van ons?
 
 
 Natuurlijk hebben we als werkgever jou ook veel te bieden. Dit krijg je van ons:
 
 
 <ul>
 <li>
 Een bruto maandsalaris van minimaal &euro; 5.190 ,- en maximaal &euro; 7.803 ,- afhankelijk van je werkervaring, op basis van 40 uur exclusief 8% vakantiegeld
 </li>
 <li>
 Vaste 13e maand, een deel krijg je maandelijks uitbetaald en een deel in januari van het volgende jaar. &Oacute;f je zet het in voor een FLEX &amp; BOOST doel naar keuze! Klik hier om er meer over te lezen
 </li>
 <li>
 Jaarlijks een individuele en collectieve verhoging conform onze CAO
 </li>
 <li>
 &euro; 1500 per jaar aan inzetbaarheidsbudget dat je naar eigen inzicht mag gebruiken voor bijvoorbeeld trainingen, coaching en cursussen
 </li>
 <li>
 Flexibele vrije dagen: onze collega&rsquo;s mogen zelf (in samenspraak met de manager) bepalen hoe zij met verlof omgaan
 </li>
 <li>
 Een goede werk-priv&eacute; balans
 </li>
 <li>
 Thuiswerkshop om je werkplek thuis optimaal in te kunnen richten, uiteraard met een mobiele telefoon &amp; laptop
 </li>
 <li>
 50% korting op onze producten en diensten, zodat je voordelig kunt internetten, bellen &eacute;n streamen
 </li>
 <li>
 Goede reiskostenvergoeding: je krijgt je OV kosten volledig vergoed of &euro; 0,23 per kilometer als je met de auto reist. Kom je liever op de fiets? Dan kun je aanspraak maken op onze fietsvergoeding &euro; 0,40 per kilometer
 </li>
 <li>
 Mogelijkheid tot het aanschaffen van een leasefiets waar KPN maandelijks aan meebetaalt (bij onbepaalde tijd contract): Van stadsfiets tot e-bike en van racefiets tot speed-pedelec; jij kiest waar je op fietst
 </li>
 <li>
 Uitstekende pensioenvoorwaarden: een totale inleg van 23% van je pensioengevende salaris waarvan KPN 16% inlegt en jij 7%
 
 
 </li>
 </ul>
 Ons geloof in technologie is groot. Dit wordt n&oacute;g krachtiger samen met menselijk contact, daarom ontmoeten we je graag!
 
 
 Wil je meer weten? Neem contact op met onze recruiter Szilvia Haraszti via szilvia.haraszti@kpn.com
</div>

Senior Machine Learning Engineer

Lakera

<div>Lakera is seeking a Solutions Engineer to accelerate sales velocity, increase customer success and shape the product experience as we scale. In this customer-facing role, you&rsquo;ll be the primary technical point of contact through the sales process and a resource for customer success. You&rsquo;ll translate customer needs into solutions, architecting with Lakera&rsquo;s AI Defense Plane to help enterprises secure their AI stacks and unlock cutting-edge use cases.<div></div> 
You&rsquo;ll work closely with Sales, Customer Success, Product, and Engineering to ensure Lakera delivers on its mission. With your blend of technical expertise, communication skills, and customer empathy, you&rsquo;ll be at the forefront of AI security innovation.<div></div> 
About Lakera
Lakera, a Check Point company, is on a mission to ensure AI does what we want it to do. We are heading towards a future where AI agents run our businesses and personal lives. Here at Lakera, we're not just dreaming about the future; we're building the security foundation for it. We empower security teams and builders so that their businesses can adopt AI technologies and unleash the next phase of intelligent computing.<div></div> 
We work with Fortune 500 companies, startups, and foundation model providers to protect them and their users from adversarial misalignment. We are also the company behind Gandalf, the world&rsquo;s most popular AI security game
We move fast and work with urgency. We act as one team but expect everyone to take substantial ownership and accountability. We prioritize transparency at every level and are committed to always raising the bar in everything we do. We promote diversity of thought as we believe that creates the best outcomes.
What You&rsquo;ll Do:<ul><li>
Act as the primary technical point of contact for prospects evaluating Lakera. Understand their needs and design solutions that align with their infrastructure using Lakera&rsquo;s platform.</li><li>
Partner with Customer Success to ensure customers onboard quickly and realize value from the platform.</li><li>
Develop and maintain technical documentation and guides to streamline pre-sales and guide post-sales workflows.</li><li>
Support product configuration and deliver minor technical changes required for prospect and customer implementations.</li><li>
Feed prospect feedback directly into Product and Engineering, helping shape the roadmap and ensuring the platform evolves with real-world needs.</li><li>
Lay the foundation for a scalable Solutions Engineering function by building playbooks and repeatable best practices.</li></ul><div></div> 
What You&rsquo;ll Bring:<ul><li>
5+ years of experience as a Solutions Engineer, Sales Engineer, Solutions Architect, or similar role.</li><li>
A track record of managing relationships with large, complex organizations, preferably with a deeply technical enterprise product.</li><li>
Proficiency coding in the Python and Javascript ecosystems.</li><li>
A track record of enabling large scale implementations in at least one of the hyperscalers (AWS,GCP, Azure). Preferred experience with Docker, Kubernetes, and Terraform.</li><li>
An understanding of and experience navigating security, compliance, and IT processes and requirements when implementing B2B products at large enterprises.</li><li>
Strong written and verbal communication and interpersonal skills with a comfort presenting in front of customers 1:1, in small groups, and at large conference venues..</li><li>
A track record of working directly with customers of varying sizes, including large enterprises.</li><li>
An organized, self-starter approach with an eye for finding creative ways to get projects to the finish line.</li><li>
A passion for what AI can do for the good of humanity and a desire to ensure that it is implemented in a secure and ethical way.</li><li>
Comfortable in a small and fast moving environment.</li></ul><div></div> 
Location: Amsterdam
Logistics: Hybrid. We&rsquo;re excited about candidates who want to contribute to our in-office culture.
Deadline to apply: None. Applications will be reviewed on a rolling basis.
Compensation and Benefits: Our total compensation package is a blend of salary, equity and benefits.
We are committed to paying fairly and aim for these three elements collectively to be highly competitive with market rates.
<h3 class="jobSectionHeader">Let's stay connected! Follow us on LinkedIn, Twitter &amp; Instagram to learn more about what is happening at Lakera.</h3><h3 class="jobSectionHeader">
Join us on Momentum, the slack community for AI Safety and Security everything.</h3><h3 class="jobSectionHeader">
To remove your information from our recruitment database, please email privacy@lakera.ai.</h3></div>

Solutions Engineer (Amsterdam)

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