Lead Cloud Engineer

Are you enthusiastic about building and operationalizing complex data solutions, setting directions, and delivering impactful results? Do you want to contribute best-in-class data engineering, supporting our efforts towards driving the design of next generation healthcare solutions that will change the life of patients with diabetes and other serious chronic diseases? If so, then this could be the right opportunity for you as our Lead Cloud Engineer.

Our dynamic team of scientists and engineers not only discover new therapies and technologies, but also drive an aspirational change to pioneer scientific breakthroughs that have the potential to prevent and ultimately cure chronic disease.

Apply today and join us for a life-changing career.

The Position

We are seeking a skilled and experienced Lead Cloud Engineer, preferably with expertise in creating and operating data platforms or applications, to join our Data AI Tech Ops team at Novo Nordisk. As a Lead Cloud Engineer, you will play a critical role in designing, developing, and implementing cloud-based platforms and analytics solutions, enabling data scientists, analysts and more across Novo Nordisk to bring their data to life.

In this role you will:

• Architect and implement a re-usable, on-demand, scalable, reliable, and secure Python backend on AWS.
• Develop, optimize, and fine-tune cloud infrastructure using best practices, ensuring high availability, performance, scalability, and cost efficiency.
• Monitor and troubleshoot cloud infrastructure, addressing any issues or performance bottlenecks.
• Stay up-to-date with industry trends and advancements in cloud technologies and data analytics tools, recommending and implementing relevant improvements and innovations.
• Collaborate together with cross-functional teams to understand business requirements and translate them into technical specifications and solutions.
• Collaborate with data scientists, analysts, and other stakeholders to understand their requirements and provide technical guidance and support.
• Mentor and provide technical leadership to junior team members, fostering a collaborative and knowledge-sharing environment.
• Document technical designs, processes, and procedures to ensure effective knowledge transfer and maintain a repository of best practices.

You will work and collaborate in cross-functional teams with IT, machine learning engineers, and data scientists in application areas ranging from real-world data and omics to computer vision and natural language processing.

The workplace is London but flexible or remote work arrangements can be discussed.

Qualifications

You have either a MSc degree or a PhD degree with a few years of relevant experience. Degrees within computer science, mathematics, engineering, physics, statistics, or a related quantitative discipline are preferred.

Relevant experience includes:

• Substantial time invested working as a Cloud Engineer, with a focus on cloud-based data analytics solutions.
• Expert knowledge of cloud platforms such as AWS (preferred), Azure, or Google Cloud, with hands-on experience in deploying and managing cloud infrastructure.
• Experience with containerization technologies such as Docker.
• Deep understanding of cloud security best practices and the ability to implement security measures for data protection and compliance.
• Familiarity with DevOps best practices and tools for continuous integration and deployment (CI/CD).
• Proficiency in programming languages such as Python (preferred), Go.
• Experience with Behaviour-Driven Development (BDD) or Test-Driven Development (TDD).
• Experience with the following AWS services is a plus: Lake Formation, S3, Glue, Athena, Lambda, CodePipeline, Fargate, SNS/SQS, IAM, Quicksight, RDS.
• It is a bonus if you have experience working with data analytics tools such as Databricks, Grafana, Rstudio, and authentication standards such as SAML.
• Strong communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams and stakeholders.

As a person you ensure a healthy, engaging, and inclusive work environment. You are capable of building trust and relationships across functions and cultures. You demonstrate agility and adapt quickly to changes.

We are open to hiring at different levels of seniority.

About the Department

The AI and Analytics team is part of Novo Nordisk’s Data Science division, where we apply sophisticated algorithms and machine learning techniques to some of the hardest problems in the discovery and development of new healthcare solutions. By leveraging a blend of scientific, problem-solving, and quantitative skills, we provide inspiring data insights that empower Novo Nordisk to further develop and deliver life-changing treatments. We work in multidisciplinary teams with strong collaboration, trust and support across all areas of the organization and engage in external collaborations to ensure access to cutting edge research and technology, helping each other grow, driven by the opportunity to make a difference in people’s lives.

Working at Novo Nordisk

At Novo Nordisk, we don’t wait for change. We drive it. We’re a dynamic company in an even more dynamic industry, and we know that what got us to where we are today is not necessarily what will make us successful in the future. We embrace the spirit of experimentation, striving for excellence without fixating on perfection. We never shy away from opportunities to develop, we seize them. From research and development to manufacturing, marketing, and sales – we’re all working to move the needle on patient care.

We are proud supporters of Women in Data®.  Connect, engage and belong to the largest free female data community in the UK – visit: www.womenindata.co.uk to join our community