Advanced Data Engineer

AdvancedData Engineer in Global IT at Novo Nordisk Engineering

Do you want to helpNovo Nordisk Engineering (NNE) become more data driven and work with the latestdata technologies? Then we have an exciting opportunity for you as an Advanced DataEngineer in NNE!!

What do we do at NNE?

We are experts in end-to-end pharmaengineering, and we design and build pharma facilities that are essential formillions of patients all over the world. Our success is built on ourrelationships, both with our colleagues and our customers. If you arepassionate about working for a noble cause on projects shaping the future ofsustainable 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 howengineering data is used across pharma projects. A few years ago, NNE embarkedon a new data journey to build an Azure-based data platform, and as thedependency on trusted, governed and reusable data continues to grow, we arelooking for a senior-level data engineering profile to help take ourcapabilities to the next level. You will become part of a strong team withinNNE Global IT of 50+ employees and work in a cross-department data platformteam with data engineers, data analysts, architects and subject-matter experts. In this role, you will be expected to contribute beyond delivery by influencingsolution design, improving engineering standards, mentoring colleagues andensuring that data solutions are scalable, reliable and aligned with businessneeds.

• Location: Bengaluru
• Department:Global IT
• ExperienceMin.5-8 years
• Employment:TypeFull Time

How You Might Spend Your Days

As a Data Engineer, you’ll:

• Maintain NNE’s data platforminfrastructure in Microsoft Fabric
• Help with data storage,processing and data modelling.
• Design ETL/ELT processes &build data pipelines
• Collaborate with businessstakeholders to help them get the most of their data
• Communicate how data can beused in new ways within NNE
• Prioritizesupport for operational tasks
• Spendremaining 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 YouAre

We care about whoyou are as a person. In the end, how you work, and your energy, is what impacts on the results we achieve as a team. As a person, you:

• Encourage teamwork andcollaboration across skillsets
• Understand how technology canempower business, and can articulate the value of data solutions
• Are well-organized, can planyour work, and can communicate progress on activities
• Have analytical skills combinedwith 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.

Themiles you’ve walked

In all positionsthere are some things that are needed, and others a bonus. We believe thesequalifications are needed for you to do well in this role:

• Bachelor’s or master’s degreein relevant field
• 5+ years of experience withindata engineering
• Experience with SQL and Python
• Experience with ETL/ELTprocesses
• Hands-on experience with Azureservices such as Azure Synapse Analytics and/or in Microsoft Fabric willbe considered a plus.
• Prior working knowledge inAzure 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 donot check all the boxes, you are welcome to offer alternative experience thatyou think would be valuable in this role.

Why choose NNE?

We provide a range of perks and benefits tailored to enhance your overallexperience. Some highlights include:

• Vibrant and project-based workenvironment
• Collaboration andinnovation-based culture
• True empowerment and flexibleworking conditions

Unleashyour 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 werecognize that a great onboarding experience is key. We therefore greet newcolleagues with our award-nominated onboarding program, and in-house talentprograms designed to keep our biggest asset – you - developed for the long-run.

Deadline of application is Sep-15th, 2026.

At NNE, we committo an inclusive recruitment process and equality of opportunity for all our jobapplicants. To maintain fairness we request that you refrain from including a photo in your CV.

We only accept applications submitted through our online recruitment system.

We will invite to interviews on a running basis.

Questions before applying please contact [email protected]

To learn more about us visit www.nne.com