Purpose of the Role

As a Data & API Engineer, you are a critical member of the Dimensions engineering and architecture team. You will be responsible for building, deploying and maintaining APIs and their communication with the down-stream systems. You will be able to stay in the leading edge of development of Dimensions data products and shape their future by making them more user-friendly, innovative and efficient.

You will be a part of the Dimensions Data Solutions team, which engages directly with customers and end-users in order to address customer needs, evangelise our platform and iteratively improve our products based on feedback.

Role Responsibilities

  • Design, build and launch new API features based on our Dimensions Search Language (DSL)
  • Create scalable infrastructure solutions backing the API functionalities, in particular by leveraging Google Big Query functionalities.
  • Contribute to answering technical questions from customers, including the creation of data aggregations, data visualizations or other statistical analysis of large datasets.
  • Work with engineers, product managers and product analysts to understand data needs.

Role Requirements


  • 2+ years full-time development experience with Python
  • Experience designing and implementing (REST) APIs
  • Experience with cloud-based architectures, AWS and Knative, Docker containers
  • Experience with or interest in building domain specific languages (DSL), for example using Antlr
  • Familiarity with ETL, data processing and/or data mining techniques


  • Python,  Jupyter notebooks and data analytics libraries e.g. Pandas
  • SQL and noSQL search technologies, especially SOLR and Google Big Query
  • Web technologies, scripting languages and data visualization tools.
  • Proactive problem solver and data analyst, capable of prototyping solutions as well as presenting results to non-technical audiences
  • Capable of working autonomously and responsibly on projects and complete them effectively
  • Fluent in English, good communication and collaboration skills in particular in the context of a geographically distributed team 


  •   BA/BS degree or equivalent practical experience