Intellias - Senior Data Engineer - Python Programming

Why Work at Intellias ?

At Intellias, we are more than just a technology company - we are a trusted partner to some of the worlds most prestigious organizations.

With over 3,500 talented professionals, we blend engineering craftsmanship with cutting-edge technology expertise to tackle challenges of any scale, complexity, or nature.

From creating sophisticated software solutions to developing innovative products for Fortune 500 companies, we are at the forefront of digital transformation.

Our commitment to excellence has earned us recognition as one of the best IT employers by Forbes and EY, and weve been celebrated as the most family-friendly company by UNFPA.

Additionally, weve been honoured as a top global service provider by Clutch, IAOP, and GSA UK Awards.

At Intellias, we are united by a shared mission : to solve global challenges through digital innovation.

With deep expertise in industries like Automotive, FinTech, Retail, Digital, and e-Commerce, we are constantly exploring new frontiers to shape the digital future.

Project Overview :

Intellias is supporting the modernization and ongoing development of a cloud-native, AI-driven platform used across the vehicle product lifecycle by a major global automotive group.

The platform enables structured planning, testing, deployment, and reporting of both hardware and software components, significantly enhancing quality, traceability, and process automation in automotive R&D.

Intellias is responsible for maintaining and upgrading the existing system, integrating Microsoft Azure services (e., Azure DevOps, Data Factory, Databricks, Power BI) to support scalable data ingestion, predictive analytics, and AI-powered decision-making.

The project includes building predictive models and intuitive dashboards, all aligned with agile methodologies and continuous delivery practices.

This initiative is a core part of the clients long-term strategy to enable software-defined vehicle development through intelligent, integrated engineering platforms.

Requirements :

• 6+ years of experience in data engineering with a focus on SQL and DWH solutions.
• Strong hands-on experience with Oracle DB and writing complex queries and stored procedures.
• Proficiency in Python Stack.
• Proficiency in Azure Data Factory for building and managing data pipelines.
• Knowledge of data integration patterns and ETL / ELT design.
• Experience with Release & Configuration Management processes in a data-centric environment.
• Familiarity with cloud-native data warehousing and distributed systems.

Responsibilities :

(ref : hirist.tech)