More jobs:
Data Analytics Engineer; AI Projects
Job in
1000, Amsterdam, North Holland, Netherlands
Listed on 2026-09-13
Listing for:
Gazelle Global
Seasonal/Temporary
position Listed on 2026-09-13
Job specializations:
-
IT/Tech
AI Engineer (Applied/Software), Data Engineering, Machine Learning/ ML Engineer, Data Science Manager
Job Description & How to Apply Below
Overview We are looking for a highly skilled Data Analytics Engineer to join our upcoming AI-driven projects . The role involves building robust data pipelines, optimizing AI-driven retrieval processes, and leveraging Azure cloud services to enable cutting-edge analytics and AI solutions. The ideal candidate will bring expertise in Python, Databricks, and Azure , with proven experience as a Data Engineer .
Responsibilities Design, build, and maintain data pipelines to ensure efficient ingestion and processing of data into Azure Search Index .
Guarantee data quality, consistency, and integrity throughout the ingestion process.
Tune parameters within indexes to optimize Retrieval-Augmented Generation (RAG) and rank-based evaluation .
Enhance accuracy, efficiency, and performance of AI and machine learning models.
Leverage Azure Document Intelligence Services to extract relevant data from various structured and unstructured document formats.
Enable deeper insights and improved decision-making through enriched data processing.
Collaborate with the OpenAI API to integrate advanced AI features into business solutions.
Support the development and deployment of scalable AI/ML applications on Azure.
Work in a multicultural, multilingual team environment with tight deadlines.
Operate autonomously while ensuring alignment of solutions through team discussions.
Identify and propose innovative solutions when faced with technical challenges.
Data Analytics & Insights – ability to design, build, and optimize data flows in cloud environments.
Strong hands-on expertise with Python and Databricks for large-scale data manipulation and analysis.
Proven track record as a Data Engineer , including data architecture design and implementation .
Deep knowledge of Azure cloud services – data storage, compute, and AI/ML integrations.
Experience with Azure Search, ADF, and Document Intelligence Services .
CI/CD and Dev Ops awareness in data engineering projects.
Strong communication skills to work effectively in international teams.
Preferred / Nice-to-Have Skills Experience working with AI and ML pipelines , including RAG optimization.
Familiarity with API integration (OpenAI or similar).
Exposure to multilingual datasets and cross-border data solutions.
Qualifications Bachelor’s/Master’s degree in Computer Science, Data Engineering, or related field.
10+ years of experience in data engineering and analytics roles.
Proven ability to deliver enterprise-scale cloud-based data solutions .
Additional Details Seniority level :
Mid-Senior level
Employment type
:
Contract
Job function :
Information Technology
Industries : IT Services and IT Consulting
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