Data Analytics Engineer (AI Projects)

Gazelle Global; Amsterdam; On-site; EUR 70,000 - 90,000; Part time

Job summary

A leading IT services firm located in Amsterdam seeks a skilled Data Analytics Engineer to join their AI-driven projects. The role focuses on building data pipelines, ensuring data quality, and leveraging Azure cloud services. Ideal candidates will have over 10 years of experience in data engineering, particularly in AI and ML integrations, and strong expertise in Python and Databricks.

Qualifications

• 10+ years of experience in data engineering and analytics roles.
• Proven ability to deliver enterprise-scale cloud-based data solutions.

Responsibilities

• Design, build, and maintain data pipelines in Azure.
• Ensure data quality and integrity through ingestion processes.
• Tune parameters to optimize Retrieval-Augmented Generation.
• Enhance performance of AI and machine learning models.

Skills

Python

Databricks

Azure

Data Architecture Design

Azure Search

CI/CD

DevOps

API Integration

Education

Bachelor’s/Master’s degree in Computer Science or related field

Tools

Azure Cloud Services

Azure Document Intelligence

Job description

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 DevOps 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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