Senior Data Engineer

Data Analysis and Synthesis

• Undertake data profiling and source system analysis
• Present clear insights to colleagues to support the end use of the data

Data Development Process

• Design, build and test data products that are complex or large scale
• Build teams to complete data integration services

Data Innovation

• Understand the impact on the organization of emerging trends in data tools, analysis techniques and data usage

Data Integration Design

• Select and implement the appropriate technologies to deliver resilient, scalable and future-proofed data solutions and integration pipelines

Data Modelling

• Produce relevant data models across multiple subject areas
• Explain which models to use for which purpose
• Understand industry-recognized data modelling patterns and standards, and when to apply them
• Compare and align different data models

Metadata Management

• Design an appropriate metadata repository and present changes to existing metadata repositories
• Understand a range of tools for storing and working with metadata
• Provide oversight and advice to more inexperienced members of the team

Problem Resolution

• Respond to problems in databases, data processes, data products and services as they occur
• Initiate actions, monitor services and identify trends to resolve problems
• Determine the appropriate remedy and assist with its implementation, and with preventative measures

Programming and Build

• Use agreed standards and tools to design, code, test, correct and document moderate-to-complex programs and scripts from agreed specifications and subsequent iterations
• Collaborate with others to review specifications where appropriate

Technical Understanding

• Understand the core technical concepts related to the role, and apply them with guidance

Testing

• Review requirements and specifications, and define test conditions
• Identify issues and risks associated with work
  • Analyze and report test activities and results