Senior Data Engineer, Insurance

The Role:

Senior Data Engineer is required by vibrant Insurance organisation. This is a key role within their data team that will see you help to drive forward challenging and exciting data initiatives.

You will help the organization to implement what is needed to deliver strategic data platforms. This will include, but not limited to the end-to-end support for acquisition, organization, integration, transformation and secure storage of mission-critical data.

Key Responsibilities:

• Work closely in partnership with large system integrators to support the delivery of the programs that align to our data strategy.
• Work with one or more delivery teams on a given program to ensure requirements are obtained, work has been properly identified, and lead or support engineers in delivering the data products required as part of the programs.
• Partner with both the business and technical team to ensure that solutions are aligned to the business needs and follow enterprise standards and guidelines.
• Partner with data management and governance leads to ensure that projects are delivered at or under budget and follow all compliance, regulatory, and data quality requirements.

Key Requirements:

• 10+ years of experience and in-depth knowledge of data delivery and associated architecture principles, data modelling concepts, ETL procedures, and all steps of data production process
• Prior experience in insurance and/or reinsurance in support of specialty lines is a plus.
• Extensive hands-on experience in SQL, Python, Data Integration/Ingestion and associated patterns – ETL tooling – Informatica IICS, ADF, Notebooks, Databricks, Delta Lake, Warehousing technologies and associated patterns, Cloud platforms – Azure preferred.
• Experience with on-prem and cloud versions of databases such as Oracle and SQL Server.
• Professional certifications in public cloud and tooling – Informatica and Azure are highly desired.
• Analyzes data requirements and provides data analysis techniques, and applies data modeling (including data vault) and data quality techniques to establish, modify or maintain data structures and their associated components in complex environments
• Experience with Agile delivery frameworks/methodologies (e.g. Scrum, SAFe) and tools (i.e. Jira, Azure DevOps).
• Demonstrate a proven track record of having implemented solutions using one or more agile methodologies in conjunction with a large system integration partner.
• Experience with mass ingestion capabilities and cloud process flows, data quality and master data management
• Understanding data related security challenges and tooling with specific technologies (e.g. Databricks)
• Experience in migrating data and associated systems from on-prem to cloud environments
• Consulting and collaborative working style creating a culture of accountability and sharing.
• Knowledge of advanced analytics (models, tools, etc.) and their operational support is a plus

*All salaries are subject to experience*

For a full consultation on this role please contact Arc IT or email your CV to Arc IT Recruitment.