About Springer Nature Group

Springer Nature opens the doors to discovery for researchers, educators, clinicians and other professionals. Every day, around the globe, our imprints, books, journals, platforms and technology solutions reach millions of people. For over 175 years our brands and imprints have been a trusted source of knowledge to these communities and today, more than ever, we see it as our responsibility to ensure that fundamental knowledge can be found, verified, understood and used by our communities – enabling them to improve outcomes, make progress, and benefit the generations that follow.

About Springer Nature Technology & AI

Technology is central to our ability to serve our communities and it has played a vital role in the success of Springer Nature. For instance, it enabled us, along with the rest of the academic publishing industry, to transition earlier than other content industries from print to digital and is behind our transition to open access.

We believe AI has the potential to further accelerate discovery if supported by human oversight. We are therefore building on our experience and using technology and AI tools, all of which we are deploying alongside human intervention and with human oversight, to further help the research community. For example, with the help of AI we are curating data that would have taken humans years to collate and turn it into a book for academics to build upon.

AI also helps to promote equity by helping editors find the right peer reviewers from the vast scientific global network of academics faster and helps non-native English speaking scientists to improve their science communication and reach new global audiences.

Data plays an essential and starring role in our technology and AI ambitions, as the quality and accessibility of data has a direct and material impact on AI's trustworthiness, predictability, accuracy and more.

About the role

As a DataOps engineer in the SN AI Lab, you’ll be joining a team of engineers who are building cutting edge AI solutions which are scaled and supported in the cloud. In this dynamic environment, we’ll teach you the best practices large-scale data engineering, including pipeline development, data extraction/integration/modelling/delivery/quality and more.

The opportunity:

DataOps is an important partner in the mission to bring AI solutions safely and sustainably to the production. DataOps includes capabilities such as data delivery, ETL/ELT, data management, and solution design and delivery. In your early days, you'll learn the basics of these skills on one of our most important data products. Over time, you'll have the opportunity to advance your development, by showing strong communication skills, an analytical mindset, and strong documentation skills.

Working within the SN AI Lab team, you’ll:

  • Enjoy an unparalleled learning experience to work on real applied AI software products
  • Get to know the "How-to" of software development in a professional context with awesome colleagues (e.g. scrum methods, peer feedback)
  • Work on cutting-edge techniques, advancing our collective knowledge

About you

As the role is not senior, we expect that you’ll learn a lot on the job (and we’re happy to teach you!). With the right mindset, we believe anyone can succeed, and we’re happy to mutually invest in your progress. Here’s a bit more about our expectations:

  • A background in Software Engineering, Computer Science, AI or other relevant technical degree
  • Proactive and independent. You dare to ask questions and you are willing to learn – craving to understand why & how things work.
  • Ideally, you have experience with: Any Cloud (GCP, AWS, Azure), FastAPI or similar library, Code testing, GitHub actions – but don’t worry: we’ll teach you.
  • You’re open to a hybrid work environment; (the team spends ±2 days a week in office)

Come join SN AI Lab!

SN AI Lab offers a fun, innovative, and dynamic tech environment. We empower our team to be self-leading, take initiative, and experiment. With us, you can build great data & AI software products, and forge a rewarding career in tech. Our environment allows you to continuously learn with a fun, brilliant, diverse team, as together we build advanced solutions to help accelerate scientific discovery.

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Springer Nature is one of the world’s leading global research, educational and professional publishers. It is home to an array of respected and trusted brands and imprints, with more than 170 years of...

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