Ledgebrook is an insurance company building a team to address complex technical challenges in a changing insurance landscape. The Data & Analytics Engineer will own key parts of the engineering stack, partnering with business and technical stakeholders to design scalable data systems, architectures, pipelines, governance structures, and security practices.

Responsibilities:

Partner with leadership, engineers, underwriters, and actuaries to understand data requirements
Design, develop and deploy a scalable modern data stack to support business objectives (application, reporting and the like)
Design data conceptual and logical models to support business workflow, application functionality and reporting requirements
Design data architecture to accommodate data pipelines to move data across a multitude of platforms
Craft a data governance structure to ensure integrity of data and information flow has proper cadence and structure to exceed business objectives while ensuring scalability to support growth initiatives
Define security and backup procedures
Communicate effectively with technical and non-technical audiences
Build a data-driven culture throughout the organization
Elevate our technology and best practices through partnership with the Director of Data and Analytics Engineering

Requirements:

- 4+ years of experience in data engineering, with a track record of designing and managing complex data systems
- Ability to facilitate and gather business requirements and come up with scalable engineering solutions
- Strong experience with Python
- Experience with IaC
- Strong experience with SQL and NoSQL databases
- Experience with data modeling, ELT processes, and data warehousing
- Understanding of data security and user data privacy regulations
- Experience with cloud computing solutions such as AWS, Azure, or GCP
- Experience with cloud data solutions such Snowflake, Databricks, or Big Query
- Familiarity with data visualization tools (e.g. Power BI, Tableau, Looker)
Please note: This position is open only to candidates who are authorized to work in the United States without the need for current or future employer-sponsored work authorization. We are unable to offer sponsorship at this time.
Please note: This position is open only to candidates who are authorized to work in Poland without the need for current or future employer-sponsored work authorization. We are unable to offer sponsorship at this time.
Please note: This position is open only to candidates who are authorized to work in Canada without the need for current or future employer-sponsored work authorization. We are unable to offer sponsorship at this time.
- Prior startup experience
- Experience with Terraform (IaC)
- Strong understanding of data governance and security best practices
- Experience with data transformation tools like dbt
- Experience with data loading tools like Fivetran and HevoData
- Experience with data orchestration tools like Airflow
- Experience solving insurance industry / domain related challenges
- Experience building and deploying LLM applications
- Strong background in time series forecasting, NLP, and predictive modeling
- Degree in a science or engineering discipline
- Strong experience with data analytics, statistics, and data science concepts

Data Engineer

Key skills

About this role

Responsibilities:

Requirements: