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• Own the full hiring journey from role definition to signed offer. • Partner with hiring managers to define hiring needs and advise throughout the recruitment process. • Source, attract and assess exceptional talent across Data, AI, Product and Commercial functions. • Deliver an outstanding candidate experience from first conversation through offer acceptance. • Support a smooth transition from candidate to new colleague by partnering with People Operations and hiring managers during onboarding. • Work with HR Business Partners and hiring managers to anticipate future hiring needs through talent reviews and workforce planning. • Use insights from the Dutch and European talent market to improve hiring decisions. • Build trusted relationships with hiring managers by challenging, advising and partnering with them throughout the hiring journey. • Help us further reduce our dependency on external agencies by strengthening our internal recruitment capability. • Improve recruitment processes, candidate experience and employer branding. • Thrive in a self-managed organisation where taking ownership and improving how we work is simply part of the job.

• Build and maintain end-to-end pipelines in the Azure stack, ingesting source data into the Data Lake and Azure SQL, orchestrated with Azure Data Factory • Develop the data warehouse layers from raw staging through the Data Vault and Business Vault into the dimensional Data Mart, primarily in T-SQL • Write and optimise stored procedures for transformation and loading (full, incremental and delete loads), including watermark-driven incremental processing • Model data correctly, designing hubs, links and satellites in the vault, and conformed facts and dimensions in the mart • Investigate and understand source systems so the model reflects what the data really means, not just its shape • Deliver in Power BI, building datasets/semantic models and reports yourself • Own data quality, building validation and monitoring into the platform, and debugging broken pipelines, stored procedures or database projects without flinching • Wear the analyst hat, profiling new datasets, answering data questions directly, and validating that numbers reconcile before they reach the business

• Set the technical direction for AYBI's AI and GenAI work, the architecture, the build-vs-buy calls, and the honest judgment of when AI is the wrong tool. • Build and ship AI into our products and client solutions, LLM applications, RAG over messy real-world data, agents and tool-calling, and make them production-grade, not demo-grade. • Own reliability: evals as the unit tests of our AI (eval suites in CI, golden datasets), observability and tracing on every call, and guardrails against hallucination and prompt injection. • Keep AI affordable: track cost and latency per task, and use caching, routing, and the right model for the job rather than the biggest one. • Lead the productization push the team is starting, turn one-off work into repeatable, observable, dependable products, with the testing and monitoring to match. • Lift the engineers around you, through craft, clear direction, and the occasional workshop, and help the whole team adopt AI well. • You lead through your roles and accountabilities, not a reporting line; we self-organise. • Translate AI capability into real client value and push back on anything that's AI for AI's sake. • Stay close to the frontier: read what's new, test what's promising, bring back what's worth it.

• verantwoordelijk voor de oplevering van meerdere data- en BI-projecten • zorgen dat iedereen op één lijn blijft over deadlines, voortgang en vervolgstappen • AI-tools inzetten om de manier waarop projecten worden geleverd en beheerd te verbeteren • ondersteunen van resourceplanning en projectadministratie • voortgang monitoren met tools zoals Power BI, Excel

• Own delivery of multiple data/BI projects across different clients • Manage timelines, budgets, risks, and dependencies • Act as a key point of contact for clients and stakeholders • Track progress using tools like Power BI, Excel, or similar • Bring structure without overcomplicating processes • Take initiative in improving how projects are delivered within our Delivery Framework

• Develop, evolve, and maintain digital health applications across multiple stacks (Java, Node.js, Python), focusing on performance, scalability, and security. • Design and implement features in distributed systems, including RESTful APIs, WebSockets, and data streaming pipelines. • Work on integration between microservices and legacy systems, ensuring consistency, resilience, and traceability in communications. • Use message queues and event-driven architectures (RabbitMQ, BullMQ) for asynchronous processing and orchestration of workflows. • Model, optimize, and maintain relational (MySQL, PostgreSQL) and non-relational (MongoDB, Redis) databases, including caching strategies and eventual consistency. • Contribute to the development and integration of generative AI–based features, such as LangChain agents, RAG pipelines, and orchestration via n8n. • Investigate, diagnose, and resolve complex technical issues in multi-tenant production environments. • Ensure code quality through automated tests and software engineering best practices. • Collaborate with multidisciplinary teams (Product, Design, QA, Data, AI) for integrated deliveries aligned with business objectives. • Participate in agile ceremonies and actively contribute to the team’s technical growth.

• Run end-to-end hiring processes • You take ownership of hiring from start to finish and make sure the experience feels smooth, human, and maybe even a bit fun • Partner with hiring circles • You help define what “good” looks like, guide hiring decisions, and challenge when needed • Build and nurture a talent community • You stay connected with great people, even when we’re not hiring, and create moments (events, meetups, content) to keep that connection alive • Bring our employer brand to life • Together with the employer branding role, you translate our story into real candidate experiences — from LinkedIn to interviews to events • Improve how we hire • You spot bottlenecks, remove friction, and use data to continuously improve quality of hire and time to hire

• Develop new features and evolve existing systems with a focus on quality, scalability, and maintainability. • Possess strong software architecture knowledge and the ability to propose structural improvements to the system. • Implement integrations between internal and external services (APIs, microservices, distributed systems). • Write clean, testable, and efficient code, following engineering best practices and the standards defined by the team. • Create and execute automated and unit tests to ensure delivery quality. • Work closely with product, QA, front-end, and data teams to ensure end-to-end delivery. • Actively participate in code reviews, contributing to collective learning and maintaining technical standards. • Monitor and optimize application performance, identifying and resolving bottlenecks. • Document flows, architectures, and adopted practices to strengthen knowledge sharing. • Collaborate in agile ceremonies (plannings, refinements, retrospectives), bringing a proactive and solution-oriented attitude. • Mentor junior and mid-level developers.

• Build and own the Azure data platforms for client accounts, SQL Server, Databricks, pipelines end to end • Design maintainable data models and challenge unclear requirements • Simplify complex data problems for clients and teams • Focus on client impact and meaningful contributions