Senior Data Engineer

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Date: Jun 22, 2022

Location: London, GB Lisbon, PT Berlin, DE

Company: 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. 

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Senior Data Engineer


Purpose of Role 
A Senior Data Engineer in Global Business Systems will be a member of a Data Engineering team responsible for designing & delivering a highly robust & scalable cloud data platform for Springer Nature. This role offers the opportunity to blend data engineering, data science and deep digital analytics expertise and is key to the Springer Nature strategy to build advanced data capabilities within the organisation

Key Tasks
•    Develop, maintain, and support data pipelines using best practices, performing a lead role as both a product owner and advising other product owner engineering teams.
•    Work closely with other data engineers, Project teams, business stakeholders and analysts defining the data model and build & maintain data products for consumption at the analytics layer.
•    Ensure architecture meets business requirements and aligns with Company strategy
•    Recommend ways to efficiently provide quality data and added value


Key relationships 
•    Stakeholders within the global business, including various Analytics teams 
•    Multiple data source Product/Technical owners
•    Project Manager & Programme delivery teams
•    Peers within the Technology teams, specifically Business Systems, Digital Systems
•    Third party vendors, partners and resources



University degree with a strong analytical/quantitative background or equivalent experience (e.g. Data Science, Statistics, Mathematics, Econometrics, Physics, Computer Science etc.)


Key Skills;
•    Experience with Cloud data platforms (preferably Google), Python, strong SQL and a variety of ETL tools is essential.
•    Understanding of data warehousing and data lake concepts, experience in building operational ETL data pipelines across a number of sources, and constructing relational and dimensional data models is required. Knowledge of the data mesh concept desirable.
•    Experience in an SAP & Salesforce data environment is desirable.
•    Experience of Google Data Studio, Looker & Tableau is desirable.
•    Demonstrable experience of using data engineering in achieving the wider goals and strategy of the business
•    Well organized with strong written, oral communication, interpersonal and presentation skills and accurate with good time management


•    Extensive experience working in a similar or comparable role i.e. specific experience of at least 3 Projects in a Data Engineering role.
•    Prior experience working within a complex multinational organisation. 
•    Working with other data engineers, project teams, Business users, translating requirements into & building data models & some work with reporting & visualisation tools.
•    Excellent working knowledge of SQL, Python, cloud data engineering platforms and database engineering principles
•    Excellent working knowledge of a variety of ETL tools (preferably including Qlik)
•    Experience with Google Cloud Platform preferred:  Bigquery, Dataflow, Cloud Composer etc.
•    Demonstrable experience of using data engineering in achieving the wider goals and strategy of the business

Internal applicants please inform your line manager when applying for the role.


Springer Nature is a Disability Confident Committed Employer and we encourage applications from candidates with disabilities. If you consider yourself to have a disability or learning difficulty and wish to submit your application in an alternative format or would like to discuss reasonable adjustments during the application and interview process, please get in touch either by phone on +44 (0)207 014 4020 or by email so we can make any necessary arrangements. 


At Springer Nature we value and celebrate the diversity of our people. We recognise the many benefits of a diverse workforce and strive for an inclusive workplace that empowers all our colleagues to thrive. Our search for the best talent fully encompasses and embraces these values and principles.