Data Engineer Manager

Description:

An exciting opportunity exists within our Data Engineering service for a highly skilled individual to work within our Oracle Cloud environment, which is helping to shape the future of insurance through cutting-edge data delivery to predictive analytics, data science and underwriting. The team is part of Aviva’s global Data Science Practise (Quantum) and is recognised as a centre of excellence - providing an Oracle Cloud platform that delivers the data needed to drive improved decision-making and performance within Aviva.

A bit about the job:

You will be responsible for developing in languages including SQL, PLSQL and Python, having the necessary skills to work iteratively and liaise directly with data stakeholders. Able to deliver well-structured code to a deadline and take responsibility for the quality of the solution. Maintain and continuously improve our schedule of production data processes. Review and document the technical designs

• Lead a small, focussed team of Data Engineers building a modern data ecosystem, undertaking data design, mapping, development and testing work to ensure delivery of robust Data applications, enhancements and meeting the needs of the customers.
• Work closely with other members of the development team, IT and data users in Quantum and beyond.
• Advocate data architectural strategy and represent the needs of data users into projects
• Contribute during planning meetings, requirement gathering, and meetings with application stakeholders.
• Tasks will also include production of relevant technical and user-facing documentation

Skills and experience we’re looking for:

• Degree in Computer Science or equivalent numerate subject or substantial equivalent relevant industry experience
• Experience of SQL is essential, preferably in a financial services environment and experience of data modelling and mapping is desirable
• Previous Leadership experience is essential
• Knowledge of System Design and Application Development Lifecycle
• A successful candidate should be a highly motivated individual with technical knowledge including SQL, along with an understanding of insurance, an interest in analytics, good communication and stakeholder management skills, and an interest in data pipelines