Senior Data Engineer

Role Profile

To be a subject matter expert responsible for developing and building data engineering pipelines and services to transform/integrate data from operational systems into data analytics and business intelligence (BI) systems. The ideal candidate must have 4-5 years experience with Python and SQL.

Responsibilities of the role

Work collaboratively with the Data Engineering team, other Data and Insights teams, cross-functional teams, and business partner teams to deliver data transformation/integration pipelines into data analytics and business intelligence (BI) systems.
Maintain, develop, and analyse these data pipelines, seeking always to deliver high availability, simplicity of design, and quality of data.
Develop and maintain data cleansing and data enrichment techniques.
Contribute to the definition and development of data collection, storage and data quality to support a contemporary and responsive reporting and insights architecture in partnership with technology teams and subject matter experts, working to integrate siloed areas of the business.
Assist in the development of data quality and governance standards, techniques, and tools, cooperating with technology teams and others to roll these out.
Contribute to the development and maintenance of the Business Data Model which documents master and reference data attributes.
Endeavour to deliver more than just data by considering how the request can best deliver immediate business value, offering data analysis, profiling and insight where possible.
Respond to problems in databases, data processes, data products and services as they occur. Initiate actions monitor services and identify trends to resolve problems and prevent future ones.
Understand and utilise software methodologies, test driven deployment, Agile, scrum and continuous integration.
Build strong, collaborative relationships with key stakeholders across disciplines, being seen as a subject matter expert and trusted advisor
Success Measures

Work quickly and efficiently under tight deadlines through responsive and agile delivery approaches that focus on stakeholder need.
Work effectively with other teams and product owners to ensure best quality of data.
Ensure application of effective data governance and security standards that empower and champion a data informed culture across the business.
Complete work to a high standard, creating solutions that are reliable, flexible and enduring.
Pioneering data innovation, to understand the impact of emerging trends on the organisations data tools, analysis techniques and data usage and building solutions to enable.
Demonstrable ability to work autonomously.