Senior Data Engineer (9 month fixed term contract (PAYE)) – Nationwide charity: as the technical Data / BI SME on a business-critical data strategy (embracing SQL BI, Python, Cloud tech, Big Data, Data Science), you will be reporting directly to the Head of IT and working closely with key stakeholders driving forwards adoption of better data integration and modelling through effective data warehousing to support analytics across the organisation.

You will engage a team of developers to deliver an organisation-wide ETL, data import, and master data management approach. This will be done while fostering an entrepreneurial and creative work ethic, and willingness to learn and adapt to emerging or different technologies. This role will support the delivery of appropriate analytics tools for insight leads in teams across the organisation to be able to build reports and dashboards.

Expected experience:

• Leading fast-paced deployment of data solutions in a range of settings
• Expert SQL Data Warehouse Developer with experience delivering enterprise data models, data warehousing and operational data stores, and developing data interfaces for reporting tools such as Power BI.
• Designing extract, transform and load (ETL) processes in a range of technologies e.g. SQL, Oracle Integration Cloud, Microsoft Azure technologies. Deploying data transformations, including data standardisation.
• Exploring Cloud technologies (ideally either Oracle products (Data Integrator, Autonomous Data Warehouse, Analytics Cloud, Cloud Infrastructure Data Catalog) or Microsoft products (Data Factory, Synapse, Data Lake, Power BI, Data Catalog, Knowledge Transfer and other Azure tools)
• Experience of object orientated programming, to enable bulk data manipulation and import procedures (e.g. using Python, R etc).
• Data profiling, data discovery, root cause analysis and cost-benef1 analysis
• Performance monitoring and tuning
• Developing metadata management approaches, data architecture repositories and architecture
modelling.
• Applying data governance and data quality principles to the full data lifecycle, ensuring data is of the right quality to enable effective processes, organisational and customer outcomes.