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data engineer internship

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

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

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

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)

Databricks

<div>P-1448
<h2 class="jobSectionHeader">About the Role</h2>
<h3 class="jobSectionHeader">Databricks is seeking an experienced Sr. Designated Support Engineer/Premier Support Engineer with a strong technical foundation in Apache Spark and a passion for customer engagement. This self-motivated professional will demonstrate high commitment to both customers and internal teams, with excellent communication, project management, and problem-solving skills. In this role, the Sr. Designated Support Engineer/Premier Support Engineer will build and maintain close relationships with strategic customers, manage and prioritize critical issues, and ensure a high-touch, proactive support experience.</h3>
<h3 class="jobSectionHeader">The Impact You Will Have</h3>
<ul><li>Manage large strategic accounts to provide a high-touch support experience.
</li><li>Deep-dive into complex Apache Spark and Data Engineering issues, analyzing Spark UI, thread dumps, and driver/executor logs to resolve critical performance bottlenecks.
</li><li>Advise strategic customers on Data Engineering best practices, including optimizing ETL/ELT pipelines, data modeling, and leveraging the Databricks Lakehouse architecture (Delta Lake/Iceberg).
</li><li>Project manage all open support cases to expedite support ticket closure.
</li><li>Facilitate customer correspondence with Engineering, Product Team, SMEs, and Accounts Teams to advance tickets toward resolution.
</li><li>Directly engage on business-impacting situations and ensure recovery of functionality for the customer.
</li><li>Successfully engage with Senior Leadership, Technical and Functional staff to remove roadblocks, address delays, and mitigate issues.
</li><li>Effectively use sound business judgment, risk avoidance, and SME resources to coordinate team efforts to solve problems.
</li><li>Carry out regular reviews of customer cases to identify trends and proactive optimization opportunities.
</li><li>Champion and advocate for customers and chair roundtables to ensure close communication and relationship building with key stakeholders.
</li><li>Drive customer self-sufficiency by ensuring customers understand how to engage with the Databricks Support organization and tools.
</li></ul><h3 class="jobSectionHeader">What We Look For</h3>
<ul><li>Minimum 3 years of dedicated experience in Data Engineering, building, deploying, and maintaining large-scale data pipelines.
</li><li>Minimum 3 years&rsquo; experience designing, developing, testing, and sustaining Python/Java/Scala-based applications required.
</li><li>Deep, architectural knowledge of Apache Spark internals (including Drivers, Executors, Core Memory Management, DAGs, Catalyst Optimizer, and Tungsten execution engine).
</li><li>Proven track record of troubleshooting complex Spark and big data issues, such as data skew, out-of-memory (OOM) errors, serialization issues, and slow-running broadcast joins.
</li><li>Highly effective with project managing multiple tasks and work streams, driving them to conclusion.
</li><li>Demonstrated analytical and problem-solving skills, particularly those that apply to a &ldquo;Distributed Big Data Computing&rdquo; environment.
</li><li>Excellent executive presence. You are an excellent communicator (written and verbal skills), with demonstrable customer communication and coordination efforts, and the ability to take complex technical ideas and translate them to non-technical stakeholders
</li><li>Preference for customer-facing experience as a Support Engineer, Technical Account Manager, DSE, or in related production support areas</li>
</ul><div>About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide &mdash; including Comcast, Cond&eacute; Nast, Grammarly, and over 50% of the Fortune 500 &mdash; rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark&trade;, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
 
 
Benefits
 
 
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. 
 
 
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.</div></div>

Sr. Designated Support Engineer, Apache Spark™

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

Cognizant

Solution Architect – Data & AI
 Job Summary
 We are seeking an accomplished Data Solution Architect to join our banking technology team. This role offers a unique opportunity to define and shape data architecture strategy for large-scale, data-driven transformation programmes within a complex financial services environment.
 You will bring deep expertise in designing and delivering cloud-based data platforms, combined with strong knowledge of banking data domains. As a senior leader, you will engage with C-suite stakeholders, drive data modernisation initiatives, and ensure that enterprise data solutions are scalable, secure, and aligned with regulatory standards.
 Key Responsibilities
 Lead end-to-end solution architecture for data-centric programmes, from data ingestion and storage through to consumption, analytics, and reporting
 Define and govern enterprise-wide data architecture standards, patterns, and reference models
 Design scalable and resilient data platforms supporting both batch and real-time processing, including data lakes, data warehouses, and lakehouse architectures
 Architect and deliver cloud-native and hybrid data solutions across Azure, AWS, or GCP
 Apply deep banking domain expertise to architect solutions across core banking, risk, finance, regulatory reporting, and customer data domains
 Engage with senior business and technology stakeholders to shape data strategy and translate it into actionable architecture roadmaps
 Contribute to data governance forums and ensure alignment with regulatory and compliance requirements
 Mentor and guide solution architects and technical leads across delivery teams
 Essential Skills
 Extensive experience within banking or financial services (retail, corporate, investment, or transaction banking)
 Extensive expertise in data architecture, including data modelling, data pipelines, data platforms, governance, and data quality
 Strong experience delivering large-scale, data-centric transformation programmes
 Strong hands-on experience architecting solutions on major cloud platforms such as Azure, AWS, or GCP
 Nice to Have Skills
 Good exposure to AI/ML platforms, with familiarity in Generative AI use cases
 Relevant professional certifications (e.g., AWS/GCP/Azure Data Engineer, TOGAF, Databricks Certified Data Engineer, CDMP)
 Strong collaboration, adaptability, and entrepreneurial mindset
 Familiarity with data mesh architectures and domain-oriented data ownership models
 Qualifications
 Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or a related field
 Professional certifications in cloud, architecture, or data management are advantageous
 What We Offer
 Competitive salary
 Technology-driven organization
 Open team spirit
 International environment
 Contact the Recruiter
 Megha Nagpal
 Email: Megha.Nagpal3@cognizant.com
 Phone: +31 6 2715 5643

Solution Architect - Data & AI

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