Key responsibilities and Accountabilities
- Working with multiple stakeholder communities to understand our data needs and create pipelines to take data between different layers in the platform
- Ensuring the technical infrastructure is in place and appropriate to support managing the data platform and associated activities such as pipelines
- Creating standards and patterns to ensure that future development adhere to a high quality fit for purpose framework
- Defining features and capabilities to move the dial on data usage within the insurance industry
- Providing governance and consultancy to users of the data platform and data related questions
Skills and Ability - Communication client has a broad range of stakeholders with a commitment to becoming data driven The successful candidate will need to be able to work with a broad stakeholder group and align between multiple viewpoints
- Collaborative client prides itself on its collaborative culture and data engineers will regularly interact with other technical teams and business users
- Willingness to learn the successful candidate will be expected to propose new approaches and prototype solutions
- Influence A key part of this role will be to influence the strategic usage of data within client at both a technical and cultural level This role will be a mixture of hands on development and thought leadership
Knowledge and Experience - Three or more years working in a Data Engineering role
- Experience designing and using Azure capabilities and especially Analytics tools including Synapse Analytics
- Strong SQL knowledge ideally with SQL Server and Azure SQL experience
- Knowledge of Python and ideally Spark
- Experience analyzing cleaning migrating and modeling data
- Experience working in an Agile environment