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AI Data Platform Engineer


Job Location:

Bengaluru - India

Monthly Salary: Not provided by the employer
Posted: 27 August 2026 (Yesterday)
Application Deadline: 24 November 2026
Vacancies: 1 Vacancy

Job Summary

Interested in a career that matters

Shape the Future of Enterprise Data as an AI Data Platform Engineer


Join our team at the heart of the Data Office where you will help build operate and evolve our enterprise data platform. Collaborate with international colleagues to deliver scalable secure and reliable data services that empower analytics AI and business innovation across our global organization.

Welcome to Data Collaboration & Platform Enablement

Our team is a key part of the Data Office within Global IT responsible for building and operating enterprise data and AI platforms that support business-critical analytics AI and digital transformation initiatives. We work closely with colleagues across IT Data Security and business domains to provide scalable governed and trusted data capabilities.

As part of a global and collaborative team you will contribute to establishing modern cloud-based data platforms ensuring robust operations and enabling data-driven decision making across the organization.

In this role you will make an impact:


As an AI Data Platform Engineer you will focus on designing implementing and operating cloud-based data platform solutions that support analytics AI and business applications. Your work will center around cloud infrastructure data platform services automation operational excellence and platform reliability.


You will play a key role in ensuring data is securely stored processed monitored and made available to users and applications in an efficient and scalable way.

in addition some of your key tasks will include:
Designing and implementing cloud-based solutions within the enterprise data platform including data storage processing integration and visualization components.
Troubleshooting and resolving issues related to cloud infrastructure and data platform services.
Monitoring platform performance reliability and utilization and making recommendations for optimization and continuous improvement.
Collaborating with developers architects and IT professionals to ensure seamless integration between data platforms and other enterprise systems.
Working closely with data engineers analysts and business stakeholders to ensure data is stored governed and retrieved efficiently and securely.
Developing and maintaining automation scripts infrastructure-as-code solutions and deployment pipelines to improve platform reliability and operational efficiency.
Creating and maintaining technical documentation operational procedures and platform standards.
Staying current with emerging cloud data and AI platform technologies and recommending new capabilities where appropriate.
Supporting platform operations governance security and lifecycle management across development test and production environments.
Contributing to platform best practices related to scalability availability monitoring cost optimization and security.

You will work closely with
You will collaborate with colleagues across IT Data Engineering Analytics Architecture Security and business domains in a hybrid and agile environment. Together you will help deliver enterprise-grade data capabilities that enable analytics automation AI and digital transformation initiatives.

We expect you to bring
Bachelors degree in computer science Engineering Information Technology Data Engineering or a related technical field.
Minimum 3 years of experience in cloud platform engineering data platform engineering infrastructure engineering or similar technical roles.


Technical Skills


Strong experience with cloud platforms preferably Microsoft Azure & AWS.
Hands-on experience with modern data platforms and services such as Azure Data Factory Microsoft Fabric Azure Synapse Analytics Azure Data Lake Storage Databricks or similar technologies.
Experience designing and supporting data integration storage transformation and processing solutions.
Understanding of data governance security identity management and data protection principles.
Familiarity with AI/ML platforms and data architectures is considered an advantage.

Additionally we expect you to be fluent in spoken and written English and demonstrate strong analytical and problem-solving skills. Your ability to work effectively with stakeholders collaborate across teams and maintain a strong focus on quality and reliability will be essential for success in our global multicultural environment.

Our purpose guides the way

In Novonesis we know that solutions rooted in biology can help solve humanitys biggest challenges. Since we began more than a century ago this has been our guide. Its how weve gotten so far. And its how well impact the future. Now more than ever the world needs change. And with biosolutions the possibilities for transformation are endless. If our purpose resonates with you we encourage you to apply.

Opportunities for everyone

We are committed to an inclusive recruitment process and equal opportunity for all applicants. Therefore we ask you to apply without a cover letter or photo and instead include a few sentences in your CV explaining your motivation for applying.

We make all employment decisions based on business needs and welcome candidates with a wide range of backgrounds including ethnicity religion gender sexual orientation age disability or veteran status.

Explore other openings

If this position isnt the right fit you may still find other opportunities with us. Youre welcome to explore open roles or create a job agent to stay connected with future opportunities at Experience:

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About Company

Novonesis is a leading global biosolutions company formed through a combination of Chr. Hansen and Novozymes.

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