Role Overview
We are seeking a skilled
Data \& Analytics Engineer
to join our upcoming
AI-focused projects
in Amsterdam. The role involves designing and maintaining robust data pipelines, optimizing AI-related data flows, and integrating with cutting-edge technologies such as
Azure, Databricks, and OpenAI APIs
.
The ideal candidate will bring strong
data engineering expertise
, proficiency in
Python and Databricks
, and a solid understanding of
Azure cloud services
. This is a hands-on technical role requiring autonomy, innovative problem-solving, and the ability to thrive in a
multicultural, fast-paced environment
.
Key Responsibilities
Develop and maintain data pipelines
for efficient data ingestion into
Azure Search Index
, ensuring scalability, quality, and consistency.
Optimize parameters within indexes
to enhance
Retrieval-Augmented Generation (RAG)
and rank-based evaluation processes for AI models.
Leverage
Document Intelligence Services
to extract relevant information from various document formats, improving data-driven insights.
Collaborate with OpenAI APIs
to integrate advanced AI functionalities and enable innovative AI-powered solutions.
Design, implement, and troubleshoot
data architectures
aligned with project requirements and cloud best practices.
Work closely with cross-functional teams in a multicultural and multilingual setup to deliver high-quality results under tight deadlines.
Ensure all design and development activities follow
clean code and cloud-ready practices
.
Essential Skills \& Competencies
Strong expertise in
Python
and
Databricks
for data manipulation and analysis.
Proven experience as a
Data Engineer
, with a focus on designing and implementing scalable
data architectures
.
Proficiency in
Microsoft Azure
services, including
Azure Data Factory
and related data ecosystem components.
Preferred:
Azure IA Engineer Associate Certification
(or equivalent cloud expertise).
Strong knowledge of
AI project workflows
, including RAG optimization and document intelligence.
Experience collaborating on
AI/ML projects
integrating external APIs (e.g.,
OpenAI
).
Ability to work autonomously while maintaining alignment with the team.
Strong problem-solving, communication, and stakeholder engagement skills.
Good to Have Skills
Familiarity with additional
Azure Cognitive Services
.
Exposure to
data science and MLOps workflows
.
Experience in
AI model evaluation and fine-tuning
within enterprise environments