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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