- About Devoteam
Devoteam is a leading consulting firm focused on digital transformation. We help our clients leverage technology to achieve their business goals. Our longstanding partnerships with leaders like AWS, Google Cloud, Microsoft, and ServiceNow amplify our capabilities, allowing us to deliver top-tier expertise and award-winning services.
For 30 years, we have always been on the next tech wave . Devoteam has guided organizations through the Internet and cloud. The next revolution? AI.
With 11,000 tech natives working in 25+ countries, we bring you highly skilled IT experts across Europe
At Devoteam, tech is in our DNA , and it’s the people we empower with tech. Now, with responsible AI, we’re ready to unlock a future where technology drives positive change.
About the Role: Young Graduates – Databricks Data & AI Engineer
Are you a recent graduate eager to launch your career at the intersection of Big Data and Artificial Intelligence? We are looking for ambitious Young Grads Data & AI Engineers to join our elite Databricks team (50+ FTEs).
Your Journey & Responsibilities
- End-to-End Pipeline Engineering: Design, develop, and deploy robust data pipelines using Databricks and Apache Spark . You’ll learn to ingest data from diverse sources (APIs, IoT streams, ERPs).
- Master the Lakehouse: Get hands-on with Delta Lake to ensure ACID transactions on top of data lakes, ensuring data is reliable, versioned, and "AI-ready."
- Hands-on AI Development: Work on implementing Generative AI solutions , including RAG (Retrieval-Augmented Generation) architectures, vector databases, and fine-tuning data for LLMs.
- Building for AI: Create the specialized data structures required for Generative AI , including vectorizing data for RAG (Retrieval-Augmented Generation) and building feature stores for Machine Learning models.
- Automation & DataOps: Implement Databricks Workflows and CI/CD pipelines to automate data movement, ensuring that high-quality data is always available for business stakeholders and AI agents.
- Cloud & Infrastructure: Learn to integrate Databricks with cloud-native services (like Azure Data Lake, AWS S3, or Google BigQuery), mastering the art of cost-effective and scalable compute.
- Data Quality & Governance: Use Unity Catalog to implement fine-grained governance, ensuring that the AI solutions we build are secure, compliant, and ethical.
Qualifications
- Educational Background: A recent University Degree (Master’s preferred) in Computer Science, (Business) Engineering, or a specialized program in Data Science/AI.
- Programming & Logic: Strong academic foundation in Python, Scala, or Java . You should be comfortable writing clean, efficient code.
- Data Foundations: A solid grasp of SQL and an understanding of how databases work (Relational vs. NoSQL). Familiarity with the concepts of ETL/ELT is a huge plus.
- AI Passion: A hunger to build AI things—you follow the latest trends in LLMs and want to know how the data "under the hood" makes them work.
- Communication: Excellent interpersonal skills with the ability to collaborate in an agile, multi-disciplinary team.
- Languages: Fluency in English and proficiency in Dutch or French is mandatory.
Bonus Points
- Academic projects or internships involving PySpark, Hadoop, or Kafka .
- Experience with Docker or basic Cloud certifications (Azure, AWS, or GCP).
- Exposure to dbt (data build tool) or airflow for orchestration.
Knowledge of specialized AI libraries (LangChain, LlamaIndex, or Pandas).
Why choose us?
- Thrive in a fast-growing, entrepreneurial environment
- Work with innovative and impactful Cloud, Data & AI projects for industry-leading clients
- Connect with extraordinary talents in a collaborative and diverse culture
- Enjoy a healthy work-life balance in an inspiring, eco-friendly workplace
- Competitive compensation package
At Devoteam, we combine strong values – respect, frankness, ambition, entrepreneurship & collaboration – with a fun and supportive environment that empowers you to innovate, grow, and succeed in the fast-paced world of Cloud, Data & AI.