Senior Data Engineer full time

Springer Nature HQ: Lisbon, Portugal Remote job Sep 24


**Senior Data Engineer (12 Months Maternity FTC) **

Purpose of Role

The Senior Data Engineer will be a member of the Business Systems BI team and will collaborate across multiple teams to drive the technical implementation of Google Big Query and the BI reporting layer. This role offers the opportunity to blend data engineering, data science and deep digital analytics expertise.

Key Tasks

  • Partner with analytics & reporting teams to define data requirements guide/build reports & dashboards using market leading BI tools such as Looker, Data Studio & Tableau.
  • Own the analytics layer, developing transformations from source data systems, enriching data and providing the views and variables needed for the wider business to gain the most value from the data.
  • Consult with stakeholders throughout the business to shape and implement solutions in support of business objectives Develop, document and maintain robust processes that transform and clean data for input into a variety of live systems and analytical workflows
  • Maintain process quality and robustness through coding best practice, including version control, documentation and peer review
  • Partner with Product Owners to establish and maintain the data pipelines (ETL/Batch/Streaming) from different source data platforms to a central platform.
  • Implement cutting edge solutions to help us become best-in-class data handlers


Key Relationships


  • Stakeholders within the global business, including various Analytics teams
  • Multiple data source Product/Technical owners
  • Project Manager & Programme delivery team
  • 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.)


Main requirements


Key Skills;

  • Experience with BI tools preferred: Looker & Data Studio
  • Excellent working knowledge of SQL, Python, cloud data engineering platforms and database engineering principles
  • 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
  • Well organized with strong written, oral communication, interpersonal and presentation skills and accurate with good time management
  • Comfortable with data retrieval and processing with SQL and NoSQL
  • Solid understanding of relational and non-relational database technology, cloud based data lake, ETL, data pipeline


  • Working with Business users, translating requirements into & building data models & working with reporting & visualization tools.
  • Demonstrable experience of using data engineering in achieving the wider goals and strategy of the business 
Full-time (40 hrs/wk)
Negotiable rate
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