Job Description

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.

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Springer Nature seeks a Data Engineer for its highly-regarded , group. The group meets the needs of Springer Nature\'s Research division which includes Nature, Springer, BioMedCentral and Scientific American, as well as developing new data products for the research community. This is an exciting opportunity as Data Engineering is expanding from strong foundations into new solutions, and we are looking for someone who can deliver solutions and work independently, with support from the wider team where necessary.

As a Data Engineer, you will be responsible for ensuring a continuous flow of data with minimum latency between data sources, you will be developing, testing and deploying data pipelines into the production environment. You will be a part of the team which delivers ML/AI solutions at scale.

You will be working in close partnership with data analysts, data scientists and data engineers, as well as other colleagues from Springer Nature and our technology partners, including Google. You will have opportunities to work with the latest data and analytics technologies, including graph databases, Google BigQuery, Tensorflow and Plotly Dash, and preview new technologies from Google and other partners.

Role responsibilities will include:

• Build streaming/batch Data pipelines for extraction/loading/transforming data between various data sources at scale in different formats.
• Work closely with Data Scientists /Analysts/Product Managers to understand the requirements and develop the data solutions in line with the business requirements.
• Explore various best practices to Deliver/Deploy/Maintain the inhouse ML/AI solutions at scale.
• Automate/orchestrate various templatable solutions to ensure continuous delivery.
• Maintain the current cloud infrastructure and help onboard the new applications.
• Use creative ideas to ensure ease of Data Use within the organisation.

Role requirements:

• University degree with a strong analytical/quantitative background or equivalent experience (e.g. Data Science, Statistics, Mathematics, Econometrics, Physics, Computer Science etc.)
• Strong working knowledge of SQL and Python
• Excellent problem solving capabilities
• Knowledge of at least one of the distributive frameworks such as Apache Beam or Spark
• Knowledge of Machine Learning concepts is beneficial but not essential as training will be provided
• Prior experience with schema designing data modelling .
• Familiarity with Google Cloud products (BigQuery, Dataform, Colab) or other cloud data platforms beneficial but not essentials
• Well organized and accurate with good time management

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At Springer Nature, we value the diversity of our teams and work to build an inclusive culture, where people are treated fairly and can bring their differences to work and thrive. We empower our colleagues and value their diverse perspectives as we strive to attract, nurture and develop the very best talent.

Springer Nature was awarded Diversity Team of the Year at the 2022 British Diversity Awards. Find out more about our DEI work .

If you have any access needs related to disability, neurodivergence or a chronic condition, please contact us so we can make all necessary accommodation.

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