data engineer

senior data engineer

analytics engineer

business consultant data & ai Jobs in Utrecht

business consultant data & ai

data & ai engineer

data scientist

<div><div><div><p><b>Wil jij door middel van machine learning bijdragen aan de verbetering van de medisch-specialistische zorg? Wat voor de meeste mensen klinkt dat als abracadabra, is voor jou een uitdaging waar je wel raad mee weet. Voor het data science-team is DHD op zoek naar een ervaren data scientist met minimaal vijf jaar werkervaring en affiniteit met data engineering. Ben jij er klaar voor om via het grootste federatieve netwerk van Nederland, high-end AI-modellen te ontwikkelen?</b></p>
</div></div><div><h2 class="jobSectionHeader"><b>De functie</b></h2>
<div><p>Als data scientist bij DHD ben je verantwoordelijk voor het ontwerpen, ontwikkelen en implementeren van innovatieve AI-oplossingen, die bijdragen aan verbeterde zorgkwaliteit en effici&euml;ntie binnen de medische sector. Je combineert federatieve technieken met machine learning en NLP, en traint over klinische data die de ziekenhuizen nooit verlaat. Je werkt aan de volledige levenscyclus: van architectuurkeuzes en training tot het robuust in productie brengen en monitoren.
</p><p>Omdat we federatief trainen, ontwikkel je ook mee aan de packages en tooling die dat mogelijk maken. Je vertaalt complexe klinische vraagstukken naar oplossingen die in de praktijk werken, en combineert daarbij domeinkennis met diepgaande modelontwikkeling en sterke engineering om alles schaalbaar en betrouwbaar te laten draaien. Je werkt samen binnen een data science-team en pakt een voortrekkersrol: je pioniert met nieuwe technieken en zet zelfstandig experimenten op.</p>
<p>
Wat ga je doen?</p>
<ul><li>Ontwerpen, ontwikkelen en optimaliseren van modellen, denk hierbij aan Deep Learning en NLP, met aandacht voor performance, kalibratie en betrouwbaarheid.</li><li>
Mee-ontwikkelen aan de federatieve infrastructuur (PLUGIN) en de open-source packages en tooling waarop modellen over het netwerk getraind en toegepast worden.</li><li>
Modellen productierijp maken: van experiment naar reproduceerbare, geteste en onderhoudbare code die in een MLOps-pipeline draait.</li><li>
Ontwikkelen van toepassingen in Python waarbij o.a. gewerkt wordt met GitHub, Docker en Azure.</li><li>
Meedenken over en richting geven aan nieuwe data science-toepassingen binnen de medische sector.</li></ul>
</div></div><div><h2 class="jobSectionHeader"><b>Wij zoeken</b></h2>
<div><p>Je bent vanzelfsprekend thuis in de wereld van data science, met aantoonbare diepgang in modelontwikkeling en -optimalisatie. Daarnaast heb je een sterke software- en machine learning engineering achtergrond, waardoor je modellen niet alleen kunt bouwen maar ook robuust in productie kunt brengen en kunt bijdragen aan de packages waarop ze draaien. Je ziet het als een uitdaging om ontwikkelingen binnen dit vakgebied te vertalen naar concrete oplossingen waar de medisch-specialistische zorg baat bij heeft. Je bent ondernemend, communicatief vaardig, hands-on en maakt graag onderdeel uit van een hecht team.</p>
<p>
Bovendien beschik je over:</p>
<ul><li>
Een relevant wo-diploma in Data Science, Computational Science, Artificial intelligence, Informatica, Econometrie of Medische informatiekunde.</li><li>
Ruime programmeerervaring in Python met bijbehorende data- en ML-packages.</li><li>
Diepgaande ervaring met het ontwikkelen, trainen en optimaliseren van modellen (Deep Learning, NLP).</li><li>
Aantoonbare ervaring met het in productie brengen van modellen en het bouwen van onderhoudbare, geteste software (software/ML engineering).</li><li>
Ervaring met software engineering principes zoals CI/CD, OOP en MLOps.</li><li>
Ervaring met Linux, Azure en versiebeheersystemen als Git en GitHub.</li><li>
Ervaring met containertechnologie&euml;n zoals Docker.</li></ul>
</div></div><div><h2 class="jobSectionHeader"><b>Wij bieden</b></h2>
<div><p>We bieden een afwisselende en uitdagende functie voor 32-36 uur per week. Je gaat deel uitmaken van de afdeling Databeschikbaarheid &amp; Informatisering. In deze rol krijg je veel vrijheid en verantwoordelijkheid. Er is binnen DHD en op de afdeling een open en collegiale werksfeer, waarin samenwerking centraal staat.</p>
<p>
Verder kun je rekenen op:</p>
<ul><li>Ruime mogelijkheden voor persoonlijke groei en ontwikkeling.</li><li>
Hybride werken: je werkt deels vanuit huis en deels op kantoor.
</li><li>Werktijden zijn in onderling overleg flexibel in te delen.</li><li>
Een aanstelling voor een jaar met uitzicht op verlenging voor onbepaalde tijd.</li><li>
Salaris tussen &euro; 5.109 en &euro; 5.675 bruto per maand bij een 36-urige werkweek, afhankelijk van kennis en ervaring.
</li><li>8,33% vakantiebijslag en een eindejaarsuitkering van 8,33% van het, in het afgelopen kalenderjaar, verdiende salaris.</li><li>
Pensioenregeling.</li><li>
Thuiswerkvergoeding en telefoonvergoeding.</li><li>
Reiskostenvergoeding en/of een NS Businesscard.
</li><li>144 uur vakantie en 57 uur levensfasebudget (bij een 36-urige werkweek).</li><li>
De mogelijkheid om extra vakantiedagen te kopen.</li><li>
Een fijn team van collega&rsquo;s en gezamenlijke activiteiten, zoals een bedrijfsuitje, spelletjesavond of tennistoernooi.</li><li>
Overige secundaire arbeidsvoorwaarden conform Cao Ziekenhuizen.</li></ul>
</div></div><div><h2 class="jobSectionHeader"><b>Meer informatie</b></h2>
<div><p>De procedure bestaat uit twee sollicitatiegesprekken. Een dagdeel meelopen kan deel uitmaken van de procedure. Als onderdeel van het sollicitatieproces raadplegen wij openbare bronnen als sociale media en vragen we referenties bij je op. Bij indiensttreding is het overleggen van een Verklaring Omtrent Gedrag (VOG) vereist.</p>
<p>
Neem voor meer informatie over de functie contact op met Manon Maarseveen (co&ouml;rdinator data science-team) via 030 273 95 21 of mail naar werkenbij@dhd.nl.</p>
<p>
In onze privacyverklaring voor sollicitanten lees je hoe wij omgaan met de persoonsgegevens van onze sollicitanten.</p>
</div></div><div><h2 class="jobSectionHeader"><b>Solliciteren</b></h2>
<div>Zie jij jezelf in deze rol? We maken graag kennis met je! Upload hieronder je cv en motivatiebrief.</div></div></div>
<br><div><h4 class="jobSectionHeader"><b>Ge&iuml;nteresseerd?
</b></h4><div></div><div><div>Databeschikbaarheid &amp; Informatisering
</div><div></div><div>Wo
</div><div></div><div>32-36 uur</div></div></div><div></div>

Data Scientist

Zanders

<div><p><b>There are different kinds of Data Scientists</b></p><p>
Do you excel in mathematical theories, engage clients proactively, and deliver impactful solutions? If so, read on.</p><p><b>
Our consulting team</b></p><p>
Within Zanders Risk Advisory, we are a group of 20 individuals with Masters and PhDs in scientific disciplines. Despite a variety of academic backgrounds, we are brought together by a shared passion for solving intellectual challenges in a highly social, diverse and collaborative atmosphere. During the week, we work for our clients, and on Fridays, we get together at our offices in Amsterdam and Utrecht to share ideas, learnings, and good times.</p><p><b>
Models make the financial industry safer</b></p><p>
International financial institutions call on us when they require expert advice on model development, model validation and model strategy. It is an industry where models are vital and go straight to production (no PoCs), marked by high modeling maturity, large data science teams, and stringent regulatory pressure. No matter the use-case and whatever the algorithm (e.g Rule-based, Statistical, Deep Learning), we ensure the models powering our client&rsquo;s operations are conceptually sound, economically viable, effective, safe and fair.</p><p><b>
A domain that demands innovation</b></p><p>
Banks invest significant efforts in combating financial crime. The high volume and velocity of data encountered in these cases fosters an environment where new technologies are rapidly embraced. Moreover, as this data is centered around individuals, computational challenges are augmented by the need to manage AI risks (e,g via Model Risk, Operational Risk) and ensure compliance (e.g AI Act). Recent projects include designing a future-proof model landscape, developing an efficient calculation engine for transaction monitoring and conducting the final performance tests of GenAI-based agents before going live.</p><p><b>
An inspiring workplace</b></p><p>
We offer a rewarding working environment and pleasant colleagues. We work intensively but do not have extremely long workweeks. We run our business together, from project origination, delivery and strategic moves. There is all the room and support you need to advance your consulting career and to take initiatives that ensure we engage in impactful projects today and are ready for tomorrow&rsquo;s relevant topics.</p><p><b><br>
Skills to be successful:</b></p><ul><li><p>
PhD or Master's degree in mathematics, physics, econometrics, computer science or engineering</p></li><li><p>
Advanced programming skills in e.g Python and Spark</p></li><li><p>
High degree of creativity, adaptability, and sociability</p></li><li><p>
For Manager position: 4+ years track record in running quantitative projects, preferably in a consulting environment</p></li><li><p>
For Senior Consultant position: 2+ years track record in quantitative projects</p></li><li><p>
Experience in creating NLP and LLM pipelines is a plus</p></li><li><p>
Regulatory knowledge (e.g. AI act, wwft) and experience in the financial sector is preferred</p></li></ul><p></p><p><b>
We offer:</b></p><ul><li><p><br>
A work environment that promotes a healthy work-life balance,</p></li><li><p>
Allowance to set up your home office in an ergonomically responsible way and an internet allowance,</p></li><li><p>
Mobility budget to cater your commuting needs,</p></li><li><p>
Participation in the Zanders bonus scheme,</p></li><li><p>
Secure your future with a pension scheme,</p></li><li><p>
29 paid holiday days,</p></li><li><p>
A laptop and an iPhone,</p></li><li><p>
An entrepreneurial culture that values personal development, with ample room for initiatives,</p></li><li><p>
Expertise in your chosen field, building skills rapidly alongside diverse clients and consultants,</p></li><li><p>
A truly collegiate environment with enthusiastic and helpful colleagues, fostering career excellence in Treasury, Risk or Technology,</p></li><li><p>
An international and fun working environment, Cultural night events, annual Zanders' trip to a (surprise) location in Europe and many more exciting experiences to come!</p></li></ul><p></p><p><b><br>
About Us:</b> Progress your career with Zanders.</p><p>
We are a global financial consulting firm focused on Treasury, Risk and Technology. From our HQ in the Netherlands, we have been expanding our presence in Europe, UK, USA, and Asia. For 30 years we have been providing innovative solutions embracing the latest technological advancements to multinational corporations, financial institutions, public sector entities and NGOs. We go beyond conventional boundaries, delving into new market segments to uncover untapped opportunities. As pioneers in Environmental, Social, and Governance (ESG) principles and practices, we support our clients to achieve their ESG goals.</p><p>
At Zanders we invest in our people for an inclusive atmosphere, where freedom, fun, and collaboration are pivotal and set us apart, defining our success. We believe that diversity, equity, and inclusion (DE&amp;I) are essential to establish a strong and sustainable business, fostering a culture that values and respects diversity in all forms. Zanders is not just a workplace &ndash; it is a supportive community.</p><p>
We invite those who share our passion for collaboration, growth, and positive impact to join us on this journey. If you're in search of a workplace which nurtures personal and professional development, Zanders is the perfect fit for you.</p><p>
Join us as we continue to shape the future of consultancy, making a meaningful impact in the world of Treasury, Risk, and Technology!</p><p><i>
By applying for a role at Zanders, you give us approval to use and retain your personal details. Considering Zanders&rsquo; nature of enterprise, you are expected to behave to a high moral standard. A Pre-Employment Screening (PES) by a third party is part of the application process.</i></p></div><p></p>

Senior Consultant - Financial Crime Prevention

wolk

<div>
 <p>
  <strong>
   Join Wolk: Accelerate sustainable innovation with Data and AI
  </strong>
  🌱
 </p>
 <p>
  <br/>
 </p>
 <p>
  <em>
   Please keep in mind that we require applicants to already live in the Netherlands.
  </em>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About Wolk
  </strong>
 </p>
 <p>
  At Wolk, we're on an exciting mission to create meaningful change through the power of data and AI. We are a young, growing company aiming to accelerate sustainable innovation with modern data solutions. We partner with forward-thinking companies that contribute to a more sustainable future. With data driven insights, we help them make informed decisions and optimize operations.
 </p>
 <p>
  <br/>
 </p>
 <p>
  For more info, you can check out our website: https://www.wolk.work/
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   New sovereign data &amp; AI platform development - Databaas
  </strong>
 </p>
 <p>
  We're currently also building Databaas, our own sovereign data &amp; AI platform. It is built on open source tooling and runs on any EU cloud. We want this platform to compete with Databricks and Snowflake, which are not available on EU clouds, and we need you to take it to the next level.
 </p>
 <p>
  <br/>
 </p>
 <p>
  More info here: https://www.databaas.eu/
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Role overview:
  </strong>
 </p>
 <p>
  In this role, you will partly build custom data &amp; AI solutions for our customers, and partly develop Databaas. In details, you will:
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Design and shape data and AI solutions that help solve societal problems
  </li>
  <li>
   Collaborate with a team of experienced data &amp; AI specialists
  </li>
  <li>
   Work on a diverse set of projects, ranging from building data platforms to custom software solutions
  </li>
  <li>
   Help clients understand how data and AI can solve their problems and scale their business
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  <li>
   Be a key player in our growing, impact-driven organization
  </li>
  <li>
   Contribute to the development of Databaas: building features, improving the platform, and making it production-ready for customers
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   This role is for you if:
  </strong>
 </p>
 <ul>
  <li>
   You're passionate about using technology for positive change
  </li>
  <li>
   You've spent 5+ years working in the data and AI space
  </li>
  <li>
   You have programming experience with languages like SQL, Python or other.
  </li>
  <li>
   You have experience with tools like dbt, SQLMesh, Spark, Trino, or similar data stack components
  </li>
  <li>
   You have experience with PydanticAI, LangChain, LangGraph, or similar AI stack components.
  </li>
  <li>
   You are comfortable with cloud infrastructure and Infrastructure-as-code (e.g. Scaleway, OVHcloud, Azure)
  </li>
  <li>
   You have experience working with Docker and Kubernetes, and understand CI/CD concepts
  </li>
  <li>
   You understand how to utilise coding agents in your work, without losing quality.
  </li>
  <li>
   You have an entrepreneurial spirit and are able to lead projects
  </li>
  <li>
   You have experience and desire to work in a client facing role
  </li>
  <li>
   You are a good communicator and fluent in English
  </li>
  <li>
   You are willing to commute to our office in Utrecht and to client locations (in the Netherlands) a few times each week
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Our approach:
  </strong>
 </p>
 <ul>
  <li>
   We work on projects from start to end. This often starts with a design sprint, then we build an MVP, and after that we take care of full scale implementation
  </li>
  <li>
   We work with the latest technologies and are always open to try new ideas and experiment
  </li>
  <li>
   We are a small team with a flat organisational structure, you will be working directly with the founders
  </li>
  <li>
   We always work in teams, lead by an experienced engineer. This keeps our quality high, and ensures that we can learn from each other.
  </li>
  <li>
   We encourage you to share your work and learnings by means of writing or (internal) demos
  </li>
  <li>
   We are a diverse team in which everybody can be who they are
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  Check out our team and values here: https://www.wolk.work/about
 </p>
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  <br/>
 </p>
 <p>
  <strong>
   We believe that confidence gaps and imposter syndrome can deter talented people from applying. Even if you don't tick all the boxes but are excited about our mission - we'd love to hear from you!
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What we offer:
  </strong>
 </p>
 <ul>
  <li>
   Genuine impact: your work directly contributes to sustainability, social change and digital sovereignity
  </li>
  <li>
   Work-life balance: 35 vacation days because we believe in recharging. In addition, you also have the ability to work from abroad a few weeks a year
  </li>
  <li>
   Competitive package: &euro;5.000-&euro;6.000 gross monthly, depending on your experience
  </li>
  <li>
   Modern setup: latest MacBook Pro and tools you need to succeed
  </li>
  <li>
   Unlimited access to LLM tokens for work related purposes (pick your weapon of choice)
  </li>
  <li>
   Flexible working: mix of in-office and remote work
  </li>
  <li>
   Location: office in the beautiful Werkspoorfabriek in Utrecht
  </li>
  <li>
   Travel: your own NS business card
  </li>
  <li>
   Learning culture: work on R&amp;D projects that spark your curiosity and help develop a new product
  </li>
  <li>
   Team spirit: regular team trips, borrels, events, and yes - amazing havercappu&rsquo;s ☕
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Recruitment process:
  </strong>
 </p>
 <p>
  Application deadline: 8 July 2026
 </p>
 <p>
  Introduction phone call (13-15 July)
 </p>
 <p>
  Technical interview (20-23 July)
 </p>
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  Contract offer (27-30 July)
 </p>
 <p>
  Starting date: 1st of September 2026
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Ready to create change?
  </strong>
 </p>
 <p>
  We'd love to hear your story! Send your CV and tell us what excites you about joining Wolk to recruitment@wolk.work
 </p>
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  <br/>
 </p>
 <p>
  No perfect cover letter needed - just share your enthusiasm and what you hope to bring to the team.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Questions before applying? Feel free to reach out to Jelle van Miltenburg at jelle@wolk.work - we're happy to chat!
 </p>
</div>


Data & AI Engineer

Xccelerated | Part of Xebia

<div>
 <p>
  <strong>
   Medior Data Engineer &ndash; Utrecht (Hybrid)
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Are you passionate about building scalable data solutions in the cloud? Do you want to work on a modern data platform from scratch while sharpening your skills with top-level training?
  </strong>
 </p>
 <p>
  At Xccelerated, we&rsquo;re looking for Data Engineers to help build a state-of-the-art Data Platform in Google Cloud Platform. You&rsquo;ll join forces with experienced consultants and get over 60 days of tailored training to maximize your growth and impact.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   💡 Why Join Us?
  </strong>
 </p>
 <p>
  ✔ Help design, build and maintain a modern Data Platform from scratch on Google Cloud Platform
 </p>
 <p>
  ✔ Collaborate with engineering and analytics teams to build scalable pipelines and deploy models
 </p>
 <p>
  ✔ Receive over 60 days of in-depth technical training and project support from our Tech Leads
 </p>
 <p>
  ✔ After one year, transition to a direct contract with the client organization
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   🚀 What You&rsquo;ll Be Doing
  </strong>
 </p>
 <p>
  As a Data Engineer at Xccelerated, you&rsquo;ll be part of a team building the foundation for data-driven decision making.
 </p>
 <p>
  🔹 Build and maintain scalable data pipelines and infrastructure on GCP
 </p>
 <p>
  🔹 Develop components of the data platform that enable analytics and machine learning use cases
 </p>
 <p>
  🔹 Ensure robust integration between systems and data models
 </p>
 <p>
  🔹 Collaborate with engineering and analytics teams to align architecture and implementation
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   👨 💻 Who You Are
  </strong>
 </p>
 <p>
  You&rsquo;re a hands-on engineer with a strong can-do mentality. You enjoy solving challenges and learning by doing.
 </p>
 <p>
  ✅ Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Cloud Computing, or related field
 </p>
 <p>
  ✅ 1&ndash;4 years of experience as a Data Engineer
 </p>
 <p>
  ✅ Skilled in Python and familiar with at least one public cloud (GCP, AWS, or Azure)
 </p>
 <p>
  ✅ Experience with modern data tooling like Databricks, Spark, or Airflow
 </p>
 <p>
  ✅ Proactive, eager to learn, and focused on impact
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   🎁 What We Offer
  </strong>
 </p>
 <p>
  At Xccelerated, we don&rsquo;t just offer a job&mdash;we offer a launchpad for your career in Data &amp; Cloud.
 </p>
 <p>
  💰 Competitive salary &ndash; we value your skills and experience
 </p>
 <p>
  🛫 25 vacation days &ndash; take the rest you need
 </p>
 <p>
  📙 An intensive onboarding period with a hands-on bootcamp
 </p>
 <p>
  📊 Weekly technical training and innovation days throughout the year
 </p>
 <p>
  💻 A company laptop and top-tier tools
 </p>
 <p>
  🍎 Delicious lunches, great coffee, and a well-stocked snack bar
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   🌍 About Us
  </strong>
 </p>
 <p>
  Xccelerated (part of the Xebia Group) is a tech accelerator that empowers engineers to become leaders in Data &amp; Cloud. We combine top-tier consulting work with a powerful learning journey.
 </p>
 <p>
  You&rsquo;ll work four days per week at one of our partner companies and spend one day per week on structured training, mentorship, and innovation.
 </p>
 <p>
  After one year with us, you&rsquo;ll have the opportunity to join one of our partner companies directly and continue your impact.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   📩 Ready to Take the Next Step? We&rsquo;d love to meet you!
  </strong>
 </p>
 <p>
  📧 Contact Samantha Goncalves &ndash; sgoncalves@xccelerated.io
 </p>
 <p>
  📞 Call us at: +31613889770
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   📋 Application Process
  </strong>
 </p>
 <ol>
  <li>
   First interview with one of our recruitment consultants
  </li>
  <li>
   Technical assessment and presentation with one of our Tech Leads (remote)
  </li>
 </ol>
 <p>
  <br/>
 </p>
 <p>
  We aim to complete the process within 1&ndash;3 weeks, depending on your availability. Looking forward to hearing from you!
 </p>
</div>


Data Engineer

Capgemini

<div><div><div><div><div><div>Utrecht</div></div><p><br>
</p></div></div><div><div><ul><li>
Permanent</li><li>
Experienced Professionals</li><li>
Software engineering</li><li>
ID 511299-en_GB</li></ul></div></div></div><div></div><div><div><div><div><div><div><div><p>
About the Role</p></div><div><p>
Are you excited about the future of software engineering and the role AI will play in shaping it? As an Agentic SDLC Engineer at Blue Harvest, you'll help organizations transform how software is designed, built, tested, and operated through AI-powered agents and intelligent development workflows.</p><p>
This is a role for engineers who combine strong software engineering fundamentals with a passion for GenAI, coding agents, and experimentation. You'll work on cutting-edge solutions that improve developer productivity, enhance software delivery, and help redefine what modern engineering teams can achieve.</p><p>
You'll take ownership of complex GenAI and agent architectures, guide technical decisions, and turn promising ideas into scalable solutions that deliver real value for our clients.</p><p>
You won't just be implementing solutions&mdash;you'll help define best practices, influence engineering standards, and shape the future of AI-enabled software delivery.</p></div></div><div><div><p>
The Blue Harvest Story</p></div><div><p>
At Blue Harvest, we're helping clients navigate the next evolution of software delivery. We believe AI won't replace great engineers, but great engineers using AI will transform how software gets built.</p><p>
We're looking for builders. People who thrive in ambiguity, learn quickly, challenge conventional approaches, and enjoy solving difficult problems. We value curiosity, resilience, strong engineering judgment, and a maker mindset.</p><p>
Whether you're experimenting with coding agents, building side projects, mentoring colleagues, or shaping the next generation of engineering practices, you'll have the freedom and support to make an impact.</p></div></div><div><div><p>
What makes this Role Special</p></div><div><ul><li>
Work on the next generation of AI-powered software engineering capabilities.</li><li>
Build reusable solutions that can transform how development teams work.</li><li>
Experiment, learn, and innovate with strong support from technical leadership.</li><li>
Help define new standards for agentic software delivery and developer experience.</li><li>
Work alongside passionate engineers who care deeply about craftsmanship and continuous improvement.</li></ul></div></div><div><div><p>
What You'll Do</p></div><div><ul><li>
Design and build AI assistants and agents that improve backlog refinement, code generation, code review, testing, and software delivery workflows.</li><li>
Turn GenAI prototypes into robust, reusable capabilities that can scale across teams and organizations.</li><li>
Define and implement ways to measure the value delivered by AI-enabled engineering capabilities.</li><li>
Coach engineers on the effective use of GenAI and coding agents in day-to-day software development.</li><li>
Make architectural trade-offs between speed, scalability, governance, reliability, and cost.</li><li>
Improve developer experience by embedding agentic capabilities directly into engineering workflows and tooling.</li><li>
Design and implement scalable GenAI systems and agent architectures.</li><li>
Build production-ready GenAI services with an eye toward portability and long-term adoption.</li><li>
Lead solution design across APIs, event-driven systems, and AI workflows.</li><li>
Collaborate with engineering, product, and business stakeholders to translate opportunities into scalable technical capabilities.</li></ul></div></div><div><div><p>
What You Bring</p></div><div><p>
Technical Excellence</p><br>
<ul><li>
5+ years of experience in Software Engineering, DevOps Engineering, ML Engineering, or Data Science.</li><li>
Proven end-to-end software engineering experience across the full lifecycle, from discovery and architecture through implementation, deployment, and production operations.</li><li>
Strong hands-on experience with cloud platforms and Infrastructure as Code technologies such as Terraform or Bicep.</li><li>
Strong coding skills and the mindset of a polyglot engineer who chooses the right technology for the problem at hand.</li><li>
Experience building and using coding agents or agentic development tools in practice, whether professionally or through meaningful side projects.</li><li>
Ability to design and build products from scratch, turning ambiguous challenges into working solutions that deliver measurable value.</li><li>
Experience bringing software into production in a secure, reliable, and responsible way.</li><li>
Strong understanding of testing, deployment, runtime operations, observability, security, and production readiness.</li></ul><p><br>
Leadership &amp; Collaboration</p><br>
<ul><li>
Excellent communication skills and the ability to explain complex concepts to both technical and non-technical audiences.</li><li>
Entrepreneurial mindset with a passion for experimentation, innovation, and continuous learning.</li><li>
Strong ownership mentality and perseverance when solving complex challenges.</li><li>
Ability to mentor, coach, and inspire other engineers.</li><li>
Experience working in Agile environments such as Scrum or Kanban.</li></ul></div></div><div><div><p>
Nice-to-Haves</p></div><div><ul><li>
Side projects, prototypes, hobby builds, or open-source contributions that showcase your maker mindset.</li><li>
Experience with GenAI workflows, prompt engineering, orchestration, and AI-powered development tooling.</li><li>
Experience working in large-scale engineering environments.</li><li>
Experience within financial services, banking, insurance, or other regulated industries.</li></ul></div></div><div><div><p>
Why Blue Harvest?</p></div><div><p>
Shape the Future: Help define how AI and software engineering come together to create the next generation of development practices.</p><p>
Best of Both Worlds: The agility, innovation, and entrepreneurial spirit of Blue Harvest, combined with the scale, opportunities, and stability of Capgemini.</p><p>
Growth: Benefit from learning opportunities, certifications, coaching, knowledge-sharing sessions, and clear career paths that support your growth as a technical leader.</p><p>
Impact: Build solutions that improve how engineering teams work and deliver value at scale.</p><p>
Culture: Join a team that values curiosity, craftsmanship, collaboration, ownership, and having fun while solving meaningful challenges.</p></div></div><div><div><p>
Our Offer</p></div><div><p>
You'll receive a competitive salary and benefits package, but more importantly, you'll join a workplace where innovation, engineering excellence, and personal development go hand in hand.</p><p>
Expect opportunities to work with industry-leading clients, experiment with emerging AI technologies, contribute to our engineering community, and establish yourself as a recognized expert in the market.</p><p>
Are you ready to help redefine software delivery through AI and become the next Agentic SDLC Engineer at Blue Harvest? Apply today.</p><p><i>
(By applying to this vacancy, you agree to a background check if applicable.)</i></p></div></div></div></div></div></div></div></div>

Agentic SDLC Engineer

Cloudscaler

<p><b>Responsibilities</b></p><ul><li>Provide technical leadership for GenAI use cases, including prompt design, grounding, orchestration, safety controls, and architecture patterns.</li><li>Drive best practices in prompt engineering, RAG systems, system design, and integration approaches.</li><li>Mentor Agent Makers and support complex builds, reviews, and problem-solving.</li><li>Define ALM strategy for Genesys AI Studio and Rabo AI assistants to ensure consistency and reliability across environments.</li><li>Own AI governance and testing frameworks, including regression testing, LLM-as-a-judge, and end-to-end testing.</li><li>Collaborate with cross-functional teams on design, requirements, and integrations.</li><li>Represent the team in stakeholder discussions and translate technical solutions into business value.</li></ul><p><b>Platforms:</b> Genesys AI Studio, Azure Functions<br/><b>AI &amp; Orchestration:</b> GenAI, prompt engineering, prompt chaining, agent-based automation<br/><b>Integration:</b> REST APIs, event-driven &amp; legacy systems<br/><b>Language:</b> Python<br/><b>Cloud &amp; DevOps:</b> Azure, Azure DevOps<br/><b>Analytics:</b> Databricks, Power BI</p><p><b>Nice to Have</b></p><p>Copilot Studio, Power Platform, Genesys Cloud APIs<br/>JavaScript/TypeScript (Node.js), C#<br/>Security: IAM, VNet, private endpoints, API security, secrets management</p><p><b>Profile</b></p><ul><li>6+ years in Data Engineering / Data Science / Software Engineering, with 2+ years in GenAI</li><li>Experience building conversational AI or agent-based automation</li><li>Strong in AI assistant development, prompt engineering, orchestration, and API integration</li><li>Able to mentor peers and improve engineering quality</li><li>Agile mindset with strong communication skills</li><li>Good understanding of AI governance and testing (regression, LLM-as-a-judge, E2E)</li><li>Passion for building customer-focused GenAI solutions with an innovative mindset</li></ul><p>Job Type: Contract</p><p>Work Location: Hybrid remote in Utrecht</p>

GenAI Engineer

Universiteit Utrecht

<div><p>Migrants&rsquo; social networks are often understood as important sources of support and are often researched as protective safety nets alongside formal welfare-state institutions.</p><h2 class="jobSectionHeader"><b>
Your job</b></h2><p>
This PhD project takes a different perspective. It starts from the idea that social networks can be supportive and, at the same time, generate social deficits: pressures, stigma, and misinformation (Offer 2021) that may undermine migrants&rsquo; economic prospects. Welfare states can play an important role by providing formal protection (Koning 2021), thus decreasing migrants&rsquo; dependency on social networks that produce social deficits (Bilecen &amp; Barglowski 2015). Yet, little is known about the relationship between welfare states and social deficits. This project therefore asks: under what welfare-state conditions do migrants&rsquo; social networks become sources of support or deficit, and under what conditions do they reinforce economic vulnerability?</p><p>
The PhD project combines comparative secondary analysis with original cross-national data collection. First, you will link data from the European Social Survey with MIPEX indicators to examine whether cross-national variation in migrant welfare rights is associated with migrants&rsquo; exposure to deficit-related economic outcomes.<br>
<br>
Second, you will contribute to the development of a new two-wave survey in several countries. This survey will directly measure social network deficits across multiple migrant groups and enable systematic migrant-group comparisons.</p><p><b>
Supervision Team</b><br>
The project will be supervised by Verena Seibel and Tobias Stark at Utrecht University. The project is embedded in the Department of Interdisciplinary Social Science and is part of the ERC Starting Grant project &ldquo;The shadow of migrants&rsquo; social networks: Towards a new theory of how social networks can increase migrants&rsquo; economic vulnerability.&rdquo;</p><p><b>
Your tasks</b></p><ul><li>
Together with your supervisory team, you will design and conduct novel empirical studies;</li><li>
You will integrate new insights across disciplines, including sociology, political science, and economics;</li><li>
You will contribute to the theoretical development of the concept of social network deficits;</li><li>
With our support, you will be in charge of all aspects of data collection (from recruiting participants to the design and implementation of a new two-wave cross-national survey);</li><li>
You will use advanced statistical methods to process and analyze data;</li><li>
You will write international peer-reviewed scientific papers;</li><li>
You will work in a collaborative environment that seeks to improve one another&rsquo;s research;</li><li>
You will present your work at international conferences for academics, policy makers, and educators.</li></ul><p></p><h2 class="jobSectionHeader"><b><br>
Your qualities</b></h2><ul><li>
You hold a master&rsquo;s degree in sociology, political science, or an associated field, or you will obtain such a degree this academic year;</li><li>
You have experience with conducting quantitative research;</li><li>
You are motivated to design and conduct your own quantitative research;</li><li>
You have excellent English writing and presentation skills;</li><li>
You have great organizational skills.</li></ul><p></p><h2 class="jobSectionHeader"><b><br>
Our offer</b></h2><ul><li>
a job for 1 year with an extension to a total of four years upon successful assessment</li><li>
a working week of 36 - 40 hours and a gross monthly salary between &euro;3,059 and &euro;3,881 in the case of full-time employment (salary scale P under the Collective Labour Agreement for Dutch Universities (CAO NU);</li><li>
8% holiday pay and 8.3% year-end bonus;</li><li>
a pension scheme, partially paid parental leave and flexible terms of employment based on the CAO NU.</li></ul><p>
In addition to the terms of employment laid down in the CAO NU, Utrecht University also offers a range of its own schemes for employees. This includes arrangements for professional development, various types of leave, and options for sports and cultural activities. You can also tailor your employment conditions through our Terms of Employment Options Model. In this way, we encourage you to keep investing in your personal and professional development. For more information, please visit Working at Utrecht University.</p><h2 class="jobSectionHeader"><b>
About us</b></h2><p>
A better future for everyone. This ambition motivates our scientists in executing their leading research and inspiring teaching. At Utrecht University, the various disciplines collaborate intensively towards major strategic themes. Our focus is on Dynamics of Youth, Institutions for Open Societies, Life Sciences and Pathways to Sustainability. Sharing science, shaping tomorrow.</p><p>
The Faculty of Social and Behavioural Sciences is one of the leading faculties in Europe providing research and academic teaching in cultural anthropology, educational sciences, interdisciplinary social science, pedagogical sciences, psychology, and sociology. Almost 7,000 students are enrolled in a broad range of undergraduate and graduate programmes. The Faculty of Social and Behavioural Sciences has some 1,100 faculty and staff members, all providing their individual contribution to the training and education of young talent and to the research into and finding solutions for scientific and societal issues.</p><p>
The faculty is located at Utrecht Science Park near the historical city centre of Utrecht.</p><h2 class="jobSectionHeader"><b>
More information</b></h2><p>
For more information, please contact Verena Seibel (v.m.k.seibel@uu.nl).</p><p>
Candidates for this vacancy will be recruited by Utrecht University.</p><h2 class="jobSectionHeader"><b>
Apply now</b></h2><p>
As Utrecht University, we want to be a home for everyone. We value staff with diverse backgrounds, perspectives and identities, including cultural, religious or ethnic background, gender, sexual orientation, disability or age. We strive to create a safe and inclusive environment in which everyone can flourish and contribute.</p><p>
Knowledge security screening can be part of the selection procedures of academic staff. We do this, among other things, to prevent the unwanted transfer of sensitive knowledge and technology.</p><div>
To apply, please send via the &lsquo;apply&rsquo; button:<br>
<ul><li>your curriculum vitae;</li><li>a letter of motivation (in English) where you explain why you are interested in this position and where you refer to the qualities listed above;</li><li>the contact information of two referees;</li><li>an overview of the courses you took and the grades you received during your master programme.</li></ul></div><p>
Interviews will take place on August, 24th, 2026. Our preferred start date is September 15th, 2026 (negotiable).</p></div>

PhD: ‘How Welfare States Create and Reinforce Social Deficits of Migrants’

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