Advanced Data Engineer

NNE; Bengaluru; Presencial; INR 1 500 000 - 2 300 000; Tempo integral

Resumo da oferta

Novo Nordisk Engineering (NNE) in Bengaluru is seeking an Advanced Data Engineer to shape, develop and scale data platforms across pharma projects.

You will join a cross‑department data platform team with data engineers, analysts and architects, contributing to solution design and end‑to‑end data pipelines using Microsoft Fabric, Azure Synapse and lakehouse concepts.

Qualificações

• Bachelor's or master's degree in a relevant field.
• 5+ years of experience within data engineering.
• Experience with SQL and Python.
• Experience with ETL/ELT processes.
• Hands-on experience with Azure services such as Azure Synapse Analytics and/or Microsoft Fabric.
• Prior working knowledge in Azure DevOps.
• Strong hands-on experience designing and operating production-grade data pipelines, Lakehouse/warehouse solutions and data models at enterprise scale.
• Advanced knowledge of Microsoft Fabric capabilities such as OneLake, Data Factory, Data Engineering, Data Warehouse, Power BI semantic models, security and governance will be a strong advantage.
• Experience with data governance, data cataloguing, data lineage, data quality frameworks, monitoring and operational support for critical data products.
• Experience mentoring junior data engineers, reviewing solution designs and contributing to technical roadmaps will be considered a plus.

Responsabilidades

• Maintain NNE’s data platform infrastructure in Microsoft Fabric
• Help with data storage, processing and data modelling.
• Design ETL/ELT processes & build data pipelines
• Collaborate with business stakeholders to help them get the most of their data
• Communicate how data can be used in new ways within NNE
• Prioritize support for operational tasks
• Spend remaining time on development tasks.
• Design scalable, secure and maintainable data architecture patterns using Microsoft Fabric, Azure data services, lakehouse concepts and modern data engineering practices.
• Drive best practices for data quality, observability, performance tuning, metadata management, lineage, access control and lifecycle management across data products.
• Build reusable frameworks, templates and automation that improve reliability, reduce operational effort and accelerate delivery for the wider data platform team.
• Support DevOps ways of working by implementing CI/CD pipelines, automated testing, code reviews, version control and deployment standards for data solutions.

Conhecimentos

SQL

Python

Data modeling

Data pipelines

Azure

Microsoft Fabric

DevOps

CI/CD

Data governance

Formação académica

Bachelor's or Master's degree in a relevant field

Ferramentas

Azure Synapse Analytics

Microsoft Fabric

OneLake

Data Factory

Power BI

Descrição da oferta de emprego

Advanced Data Engineer in Global IT at Novo Nordisk Engineering

Do you want to help Novo Nordisk Engineering (NNE) become more data driven and work with the latest data technologies? Then we have an exciting opportunity for you as an Advanced Data Engineer in NNE!!

What do we do at NNE?

We are experts in end-to-end pharma engineering, and we design and build pharma facilities that are essential for millions of patients all over the world. Our success is built on our relationships, both with our colleagues and our customers. If you are passionate about working for a noble cause on projects shaping the future of sustainable and intelligent pharma facilities, NNE is the place to be.

About The Role

As an Advanced Data Engineer, you will play a key role in shaping, developing and scaling the data platforms and solutions that transform how engineering data is used across pharma projects. A few years ago, NNE embarked on a new data journey to build an Azure-based data platform, and as the dependency on trusted, governed and reusable data continues to grow, we are looking for a senior-level data engineering profile to help take our capabilities to the next level. You will become part of a strong team within NNE Global IT of 50+ employees and work in a cross-department data platform team with data engineers, data analysts, architects and subject-matter experts. In this role, you will be expected to contribute beyond delivery by influencing solution design, improving engineering standards, mentoring colleagues and ensuring that data solutions are scalable, reliable and aligned with business needs.

Location

Bengaluru

Department

Global IT

Experience Min.

5-8 years

Employment Type

Full Time

How You Might Spend Your Days

• Maintain NNE’s data platform infrastructure in Microsoft Fabric
• Help with data storage, processing and data modelling.
• Design ETL/ELT processes & build data pipelines
• Collaborate with business stakeholders to help them get the most of their data
• Communicate how data can be used in new ways within NNE
• Prioritize support for operational tasks
• Spend remaining time on development tasks.
• Design scalable, secure and maintainable data architecture patterns using Microsoft Fabric, Azure data services, lakehouse concepts and modern data engineering practices.
• Drive best practices for data quality, observability, performance tuning, metadata management, lineage, access control and lifecycle management across data products.
• Build reusable frameworks, templates and automation that improve reliability, reduce operational effort and accelerate delivery for the wider data platform team.
• Support DevOps ways of working by implementing CI/CD pipelines, automated testing, code reviews, version control and deployment standards for data solutions.

Who You Are

• Encourage teamwork and collaboration across skillsets
• Understand how technology can empower business, and can articulate the value of data solutions
• Are well-organized, can plan your work, and can communicate progress on activities
• Have analytical skills combined with technical understanding
• Are comfortable taking technical ownership, making design decisions and guiding others toward robust and business-aligned solutions.
• Can balance hands‑on development with stakeholder engagement, solution advisory and continuous improvement of engineering standards.

The miles you’ve walked

• Bachelor’s or master’s degree in relevant field
• 5+ years of experience within data engineering
• Experience with SQL and Python
• Experience with ETL/ELT processes
• Hands‑on experience with Azure services such as Azure Synapse Analytics and/or in Microsoft Fabric will be considered a plus.
• Prior working knowledge in Azure DevOps will be considered a plus
• Strong hands‑on experience designing and operating production‑grade data pipelines, Lakehouse/warehouse solutions and data models at enterprise scale.
• Advanced knowledge of Microsoft Fabric capabilities such as OneLake, Data Factory, Data Engineering, Data Warehouse, Power BI semantic models, security and governance will be a strong advantage.
• Experience with data governance, data cataloguing, data lineage, data quality frameworks, monitoring and operational support for critical data products.
• Experience mentoring junior data engineers, reviewing solution designs and contributing to technical roadmaps will be considered a plus.
• If you do not check all the boxes, you are welcome to offer alternative experience that you think would be valuable in this role.

Why choose NNE?

• Vibrant and project‑based work environment
• Collaboration and innovation‑based culture
• True empowerment and flexible working conditions

Unleash your potential

NNE is short for Novo Nordisk Engineering. And for all of us who work here, NNE means so much more. We are the epitome of a people business and, as such, we are dedicated to continuously developing our people. We do not expect you to know it all, and we recognize that a great onboarding experience is key. We therefore greet new colleagues with our award‑nominated onboarding program, and in‑house talent programs designed to keep our biggest asset – you – developed for the long‑run.

Application information

Deadline of application is 30th Nov 2026

At NNE, we commit to an inclusive recruitment process and equality of opportunity for all our job applicants.