Manager, Data Engineering

at  Gore Mutual Insurance

WE’RE NOW AT THE BOLDEST PHASE OF OUR NEXT HORIZON JOURNEY

At Gore Mutual, we’ve completely transformed our business in under three years. By investing in top talent and leading technology, we’ve redefined what it means to be a modern mutual that does good.
Our path forward brings a sharper focus on our business’ performance that’s powered by innovation and an agile, high-performing culture – we’re built for success.

WE’RE WELL ON OUR WAY TO BECOMING A PURPOSE-DRIVEN, DIGITALLY LED NATIONAL INSURER. COME JOIN US.

Manager-Data Engineering is responsible for designing, developing and maintaining data infrastructure to support efficient data management and analytics within the organization. It plays a pivotal role in defining and building the foundational data layer, translating business initiatives into robust data models and collaborating closely with cross-functional stakeholders to design, develop, and implement scalable and resilient data pipeline solutions supporting actionable insights for senior executives and business partners.
This role will also oversee a team of data engineers and be responsible for building a data centric culture within the team.

What will you need to succeed in this role?

• Bachelor’s or master’s degree in computer science, Data Engineering, Software Engineering or a related field.
• 8+ Years of relevant experience required. This includes experience in data engineering, data modelling, data architecture related roles.
• 3+ Years of people management/Leadership experience
• Experience scaling and managing 3+ person teams.
• Experience with designing and architecting data engineering pipelines using AWS/Azure Data technologies with focus on data domains and data platforms.
• Strong understanding of data structures, data modeling, and software architecture.
• Demonstrated ability to provide creative solutions to complex problems; and to translate those solutions into detailed workplans that can be effectively implemented by development teams/squads.
• A proven track-record of building and leading high-performing technology teams by example. Ability to lead, manage and inspire teams both locally and remotely, within a hybrid work environment.
• Strong problem-solving and critical-thinking abilities.
• Strong communication and collaboration skills.
• Continuous learning and staying updated with the latest advancements in Azure Databricks and data engineering are essential for success in this role.
• A result-oriented mindset, with the discipline to build operationally hardened systems, the courage to drive innovation across new capabilities and technologies, and the resilience and perseverance to ‘fail forward’ towards success