Design, develop, test, and support data collection, data integration, and ETL applications to make information and data available to key client stakeholders and technical interfaces
Model data requirements, data sources, and data flows to bring order and structure to programmes of work
Defining how and where data is created, mastered, and destroyed to ensure proper control over the lifecycle of corporate data assets
Using categories of products that can be used to collect, integrate, store, visualize and govern data and metadata
Define metadata to provide searchability and governance (including Records Management) for unstructured data.
Requirements & Skills:
Data Engineering, Analysis, or Science, with a solid understanding of programming languages along with experience applying them in your previous role
Experience in using Data Engineering tools and technology ETL tools including Python and a number of Big Data Applications. Rather than specifying a list of technologies we look for, demonstrable ability in what you have used previously, along with adaptability and willingness to learn is what we value
A good understanding of Open Source software for Data Engineering and can evaluate these platforms against products. Given a customer problem, you can analyze and evaluate options and recommend solutions.
An understanding of maintaining and applying up-to-date, specialist knowledge of database concepts (including unstructured, NoSQL, and ”big data” platforms), object, and data modeling techniques.
Previous experience working in the domain of Cyber Security and Intelligence is desirable, but not essential.
