Data Analytics Engineer (AI Projects)

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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