Senior Knowledge Engineer - AI Innovation & Trust CoE (f/m/d)

Other
Amsterdam
Salary: Not specified
A few days at home
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Decathlon Digital
Decathlon Digital

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The position

Job description

Are you passionate about shaping the future of business through AI and knowledge-driven technologies? Do you thrive on the challenge of transforming vast, unstructured information into actionable insights? If so, we have an exciting opportunity for you!

We're seeking an exceptional Senior Data/Knowledge Graph Engineer specialized in knowledge graph development to join our innovative team based in Amsterdam.

Overview

At Decathlon Digital, we empower everyone to embrace sports on their terms, promoting healthier and happier lives. You can contribute to this mission by joining us as a Senior Knowledge Engineer, playing a pivotal role in transforming raw data into valuable insights in he realm of sports, driving our AI-powered solutions and business growth, as well as embodying Decathlon’s values in our products.At the AI Innovation & Trust Center of Expertise, we are pioneering the future of AI as the main gateway to knowledge. Our goal is to develop trustworthy innovative and intelligent solutions that empower businesses to leverage AI and make informed decisions. We are at the forefront of creating scalable, production-ready applications that drive real-world impact.

Your Future Impact

  • Research and Development: Conduct cutting-edge research to explore new methodologies and technologies in AI and knowledge management, pushing the boundaries of what is possible.
  • Designing innovative solutions: Design and implement advanced knowledge graphs to power our Generative AI (GenAI) initiatives, enhancing customer experiences on our e-commerce platform.
  • Production at Scale: Ensure that developed applications are robust, scalable, and ready for production, supporting large-scale deployment across diverse business environments.
  • Business Value: You will be a key contributor in creating business value through innovation – in collaboration with our Gen AI Engineers, you will add to Decathlon’s pioneering efforts in the world of Generative AI.
  • Hyper-Contextual Search & Recommendations: Combining our Data Engineer team’s knowledge graph engineering expertise with our AI Engineers in-depth understanding of Large Language Models, we revolutionize our search and recommendation systems using cutting-edge technologies.

Your key responsibilities to achieve this:

  • Develop robust data pipelines for to ingest and prepare data from source systems and internal data lakes for integration in knowledge graph.
  • Ensure optimal and dynamic data to knowledge integration with ensured quality assurance.
  • Design and develop AI-powered solutions that convert unstructured data into valuable insights, ensuring seamless integration into business operations.
  • Architect and implement scalable knowledge graphs, with a focus on data modeling and ontology design to support cutting-edge GenAI applications.
  • Continuously monitor and optimize knowledge graph performance to meet the demands of real-time GenAI applications.
  • Conduct cutting-edge research to explore new methodologies and technologies in AI and knowledge management, pushing the boundaries of what is possible.
  • Stay at the forefront of knowledge graph and intelligent data engineering trends, driving innovation in our data strategies.
  • Collaborate closely with data , AI and ML teams to align knowledge graph structures with domain expertise and AI-driven solution requirements.
  • Design comprehensive ontology frameworks enabling effective data integration, interoperability, and advanced semantic querying.
  • Establish and enforce data & knowledge governance and quality standards for knowledge graph data, ensuring reliability and trustworthiness.
  • Work closely with cross-functional teams to identify business needs and create solutions that are not only innovative but also practical and impactful.

What You Bring

  • Extensive experience in data engineering and intelligent systems with a strong focus on knowledge graph development.
  • Expertise in graph databases (e.g., Neo4j) and query languages (e.g., Cypher).
  • Proven experience with data pipeline development, ETL processes, and data curation.
  • Strong proficiency in AWS services (S3, Lambda, Glue, SageMaker).
  • Advanced programming skills in Python.
  • Solid understanding of AI and ML concepts.
  • Excellent problem-solving abilities and innovative thinking.
  • Strong communication skills and ability to collaborate effectively across teams

What You Get

  • Be a part of a team that is transforming the way businesses operate, making them AI and knowledge-driven ready.
  • Opportunity to work on cutting-edge GenAI projects
  • Collaborative and innovative work environment
  • Flexible work arrangements, hybrid setup (work from home up to 2-3 days per week)
  • Hardware provided in accordance with your missions and our social commitments (Mac, Windows, or Chromebooks);
  • A local project team and within a global network (international career path)
  • Skills development and mentoring (diversity of projects, technical certifications from the first year, internal and external training, etc.).
  • Remuneration package (annual + monthly bonuses)

If you're passionate about leveraging advanced data engineering and AWS cloud technologies to push the boundaries of GenAI, we want to hear from you. Join us in shaping the future of AI-driven solutions!

DECATHLON DIGITAL CONTEXT

What if technology allowed us to push the boundaries and take sports experiences to new levels? That's exactly our goal at Decathlon Digital! We are a team of 5,000+ experts in software engineering, product management, data, cloud, and cybersecurity, distributed across Paris, Lille, and Amsterdam. Together, we are creating the largest digital sports platform, leveraging tech innovation from design to value chain optimization, connected experiences and product second life.

Changing the game for good. We are in this for the love of sports. And like everything we love, we want it to last. That’s why we are embarking on a journey to create a more sustainable tech model, reducing our direct environmental impact while maintaining a safe, diverse, and inclusive space for all our people to learn and thrive together. Team up with us to design the digital future of sports.

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