Young Graduates – Databricks Data & AI Engineer

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.