Data & AI Specialist

at Booking.com

📍 Amsterdam, Netherlands

EUR 50-98 per hour

MIDDLE

✅ Hybrid ✅ On-site

✅ Contract / Freelance

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

AI @ 3 Agile @ 3 BI @ 3 Data Engineering @ 3 LLM @ 5 SQL @ 3

Details

As the Data & AI Specialist within [email protected], you will own the department's data and reporting infrastructure while driving the conceptual and practical integration of AI into the department. You will build pipelines, dashboards, and measurement frameworks that provide evidence-based insight into transformation progress and impact, while shaping how Agile coaches use AI in their daily work and how agile practices evolve for increasingly AI-assisted product development.

You will operate as an internal expert, partnering with the Data & AI Lead, Agile coaching leads, and trainers to translate strategic goals into working systems and adopted practices.

Responsibilities

Build and operate the department's data infrastructure, including pipelines, data models, and reporting layers that turn engagement, training, and coaching activity into reliable metrics.
Deliver dashboards and analyses that support evidence-based decision-making for Agile coaching leads, trainers, and leadership.
Define and evolve measurement frameworks for Agile coaching impact.
Identify, prototype, and roll out AI-assisted tools and practices for Agile coaches, including preparation, content generation, synthesis of team observations, and knowledge sharing.
Research and codify how agile practices such as backlog refinement, estimation, iteration planning, definition of done, quality practices, and team topologies should adapt to AI-assisted product development.
Translate findings about AI-assisted development into training and coaching content.
Run enablement sessions and working groups to improve the department's AI tooling and data literacy.
Partner with trainers and Agile coaches to embed AI-related content into training and incorporate field learnings into measurement and teaching practices.
Share findings, run experiments, and collaborate with the wider [email protected] community.
Stay connected to Booking.com's internal data platforms, AI enablement initiatives, and product and engineering communities using AI in practice.

Communication

Frequently cooperate and share information with the Data & AI Lead and coaching leads within [email protected].
Work daily with Agile coaches and trainers across the department.
Regularly cooperate with Product and Engineering teams and leaders adopting AI-assisted development, as well as internal data platform and AI enablement teams.
Occasionally interact with senior leadership stakeholders consuming programme reporting and with external experts in the agile and AI space.

Requirements

Solid hands-on data engineering and analytics experience, including building and maintaining pipelines, modelling data, and delivering dashboards.
Experience with SQL, a modern data stack, and BI tooling.
Working fluency with AI/LLM-based tools and workflows, including designing, prototyping, and rolling out AI-assisted ways of working for others.
Knowledge of Agile, particularly Scrum, Kanban, and DORA metrics.
Experience as a Scrum Master or Agile Coach is highly advantageous.
Experience working within agile product development teams, including iterative development, backlog work, and team events.
Curiosity about how agile practices need to evolve for AI-assisted product development teams.
Ability to translate ambiguous, conceptual problems into concrete measurement frameworks, prototypes, or adopted practices.
Strong facilitation and enablement skills, with the ability to teach and coach peers on data and AI topics across a department of more than 100 people.
Ability to work across data and engineering craft and organisational change, including pipelines, dashboard reviews, and coaching community sessions.
Familiarity with AI coding assistants and agentic workflows is highly advantageous.
At least 5 years of experience in a Software Engineering role.
Experience applying agile ways of working, concepts, and practices in a software engineering context using data.
Skills in applying AI to the above areas.
Data product and dashboard-building skills are highly desirable.