Strong expertise in data modelling and/or database design, with a focus on data engineering use cases. Experience with NoSQL schemas, such as JSON schema. Proficiency in working with large-scale, complex datasets. Knowledge of bitemporal data warehousing concepts and data modelling techniques with an understanding of relational databases and SQL. Strong problem-solving and analytical skills. Strong communication and stakeholder management skills, with a focus on bridging the gap between technical and non-technical audiences. Experience with data modelling tools, such as Erwin Data Modeler would be highly valued. Cross-Skills: Hands-on experience with Python programming for data-related tasks and automation. Knowledge of version control systems, particularly Git, and platforms like BitBucket. Experience writing SQL for data profiling purposes, to enable evidence-based design decisions.
