Data architect Vacatures in Joure

Over de vacature

Hungry for a challenge?

That's good, because at Just Eat (JET) we have abundant opportunity, or, as we say, everything is on the table. We are a leading global online food delivery marketplace. Our tech ecosystem connects millions of active customers with hundreds of thousands of connected partners in countries across the globe. Our mission? To empower every food moment around the world, whether it's through customer service, coding or couriers.

About this role:

Just Eat Takeaway is building the next generation of partner acquisition, onboarding and partner success. As a Technical Process Manager - Omnichannel, you sit at the heart of this work - translating high-level commercial goals into detailed, buildable process specifications for Salesforce, self-service, and agentic tooling across the partner journey.

You don't just document how things work today; you challenge the status quo and propose radical improvements. You are the connective tissue between commercial intent and technical execution, aligning domain experts, solution architects, UX designers, and developers into one coherent delivery stream.

You independently own requirements documentation and testing execution within agreed design frameworks, escalating cross-platform architecture changes to the Principal Process Architect.

These are some of the key ingredients to the role:

• Requirements engineering: Translate high-level commercial goals into detailed functional specifications for Salesforce (evolving for both SMB and strategic account sellers), Partner Hub, agentic tooling, and partner CRM workstreams. You independently author user stories, acceptance criteria, and data flow diagrams to a standard sufficient for direct development handoff - down to specifics like the mandatory Salesforce data points required to trigger contract generation in our self-service journey.
• Solution design and radical improvement: Challenge existing process designs to propose improvements, applying practical knowledge of Salesforce and agentic platform capabilities to identify technically superior alternatives. You present recommendations in design reviews, and you're here to improve things radically, not incrementally.
• Gap analysis and impact assessment: Conduct gap analysis on existing functional requirements, producing structured impact assessments that document system touchpoints, data dependencies, and downstream effects. Flag risks and dependencies clearly for stakeholders; assessments are reviewed by the Principal Process Architect before approval.
• Delivery documentation: Create and maintain end-to-end process documentation with entry and exit criteria, system touchpoints, decision logic, and external dependencies across assigned workstreams, held in the central process repository as a complete package describing how a process should work.
• Testing and validation: Drive E2E testing and validation for tooling and process changes. You independently write and execute test scripts, manage defect logging, and confirm sign-off criteria are met before each production release, so operational enhancements roll out smoothly and without disruption. No downstream impact gets overlooked.
• Stakeholder engagement: Engage process and topic owners and domain experts across sales, customer service, web, and operations, alongside solution architects, UX and web designers, and developers.

What will you bring to the table?

• 6+ years in business analysis or technical product management, with hands-on Salesforce experience.
• A proven record of producing developer-ready specs: user stories, acceptance criteria, and process flow diagrams that tech teams can execute against effortlessly.
• Familiarity with self-service journey design and agentic tooling. Salesforce Agentforce is a strong advantage.
• Strong systems thinking: gap analysis, downstream impact assessment, and edge case identification. You spot the hidden impacts and potential disruptions to existing ways of working before they become real-world issues.
• Cross-domain breadth across sales, marketing, operations, and customer service - you understand the priorities and language of each, and how those functions connect.
• Confident communication at every level, from daily standups with engineers to aligning process scope with senior commercial and product stakeholders.
• Self-starter with curiosity. You don't wait for problems to be handed to you; you proactively spot improvement opportunities and act on them.
• AI native. You're comfortable integrating AI tools into your daily workflow, from drafting and analysis to process discovery and documentation acceleration.
• Salesforce Administrator or Platform Developer certification strongly preferred.

At JET, this is on the menu:

Our teams forge connections internally and work with some of the best-known brands on the planet, giving us truly international impact in a dynamic environment. Fun, fast-paced and supportive, the JET culture is about movement, growth and about celebrating every aspect of our JETers.

Inclusion, Diversity & Belonging

No matter who you are, what you look like, who you love, or where you are from, you can find your place at Just Eat We're committed to creating an inclusive culture, encouraging diversity of people and thinking, in which all employees feel they truly belong and can bring their most colourful selves to work every day.

What else is cooking?

Want to know more about our JETers, culture or company? Have a look at our career site where you can find people's stories, blogs, podcasts and more JET morsels.

Are you ready to take your seat? Apply now!

Over de vacature

As a Senior AI/ML Consultant in AWS Professional Services, you will lead the delivery of cutting-edge artificial intelligence and machine learning solutions for our enterprise customers. You'll drive innovation in Artificial Intelligence and Machine Learning, shape technical strategy, and serve as a trusted advisor to customers throughout their AI transformation journey.

Key job responsibilities
1. Lead end-to-end delivery of complex AI/ML engagements, from strategic planning through to pre-production deployment and optimisation
2. Architect and implement advanced solutions leveraging AWS's AI/ML services, with particular focus on Generative AI using Amazon Bedrock and SageMaker
3. Provide technical leadership and mentorship to junior consultants while driving best practices across delivery teams
4. Partner with customers to translate business challenges into measurable ML outcomes and clear delivery roadmaps
5. Drive innovation in applied AI/ML, contributing to methodologies and reusable solutions across the practice
6. Influence customer AI strategy through technical expertise and industry insights
7. Lead multi-disciplinary teams and coordinate across stakeholder groups to deliver high-impact AI solutions
8. Provide thought leadership in internal and external engagements
9. Support pre-sales activities to provide technical expertise and review project scoping and risks

About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.

Why AWS?
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture
Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

Mentorship & Career Growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
BASIC QUALIFICATIONS - Bachelor's degree, or experience in cloud based solution (AWS or equivalent), system, network and operating system
- Experience as technical specialist in design and architecture
- Experience in consulting, design and implementation of serverless distributed solutions
- Experience in software development with object oriented language
- Experience in data and machine learning engineering and cloud native technologies
- Experience building complex highly-scalable systems that involve predictive models or applications of machine learning
PREFERRED QUALIFICATIONS - Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies
- Experience in external or internal customer facing, complex and large scale project management
- Experience in database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis)
- Experience with Machine and Deep Learning toolkits such as MXNet, TensorFlow, Caffe and PyTorch
- Experience facilitating discussions with senior leadership regarding technical / architectural trade-offs, best practices, and risk mitigation

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Over de vacature

As a Senior AI/ML Consultant in AWS Professional Services, you will lead the delivery of cutting-edge artificial intelligence and machine learning solutions for our enterprise customers. You'll drive innovation in Artificial Intelligence and Machine Learning, shape technical strategy, and serve as a trusted advisor to customers throughout their AI transformation journey.

Key job responsibilities
1. Lead end-to-end delivery of complex AI/ML engagements, from strategic planning through to pre-production deployment and optimisation
2. Architect and implement advanced solutions leveraging AWS's AI/ML services, with particular focus on Generative AI using Amazon Bedrock and SageMaker
3. Provide technical leadership and mentorship to junior consultants while driving best practices across delivery teams
4. Partner with customers to translate business challenges into measurable ML outcomes and clear delivery roadmaps
5. Drive innovation in applied AI/ML, contributing to methodologies and reusable solutions across the practice
6. Influence customer AI strategy through technical expertise and industry insights
7. Lead multi-disciplinary teams and coordinate across stakeholder groups to deliver high-impact AI solutions
8. Provide thought leadership in internal and external engagements
9. Support pre-sales activities to provide technical expertise and review project scoping and risks

About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.

Why AWS?
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture
Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

Mentorship & Career Growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
BASIC QUALIFICATIONS - Bachelor's degree, or experience in cloud based solution (AWS or equivalent), system, network and operating system
- Experience as technical specialist in design and architecture
- Experience in consulting, design and implementation of serverless distributed solutions
- Experience in software development with object oriented language
- Experience in data and machine learning engineering and cloud native technologies
- Experience building complex highly-scalable systems that involve predictive models or applications of machine learning
PREFERRED QUALIFICATIONS - Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies
- Experience in external or internal customer facing, complex and large scale project management
- Experience in database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis)
- Experience with Machine and Deep Learning toolkits such as MXNet, TensorFlow, Caffe and PyTorch
- Experience facilitating discussions with senior leadership regarding technical / architectural trade-offs, best practices, and risk mitigation

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.