The Data Engineer is responsible for the design, development and support of the Data Products Cuscal creates for both internal and client facing use cases by primarily working on sourcing, transforming, securing and monitoring data for the creation of products using Cuscal’s data lake and analytics systems. The data engineer will be part of a scrum team and actively engages in both discovery and delivery activities and as such will have direct interaction with our clients, specifically their product, engineering and analytics personnel. The data engineer will work in partnership with our Data Practice to deliver solutions that meet our organisational standards and best practices To suceed in this role you will: Participate in discovery workshops to understand internal and client problems Work with the product owner to design solutions that address identified pain points  Employ Cuscal infrastructure for extraction, transformation, and loading (ETL) of data from a wide variety of data sources using ‘Big Data’ technologies  Create and maintain Data pipelines in an efficient manner  Maintain, troubleshoot, and improve the workflow and job scheduling of ETL processes Assist in the design & development of analytic solutions. Mostly in Databricks SQL Analytics &/or PowerBI Manage and process complex, large data for analysis (e.g. hierarchies of datasets, inter-relationships, partitions, views, etc.)  Maintaining a high level of system availability, system monitoring, fault diagnosis and change implementation and review Work with our Data Practice to support the tracking, analysis and review of trends in commonly occurring support issues and then embed identified risk management strategies.  Maintain and support applications in line with approved standards and adjust in alignment with Enterprise Architecture  Respond to incidents and manage systems availability (change, incident and problem management)  Take part in 24 x 7 on call support roster, as required.