Key skills

Data EngineeringPythonInfrastructure as Code (IaC)SQLNoSQL DatabasesData ModelingELT ProcessesData WarehousingData Security and Privacy RegulationsCloud Computing AWSCloud Computing AzureCloud ComputingCloud Computing GCPCloud Data Warehousing SnowflakeCloud Data Warehousing DatabricksCloud Data WarehousingCloud Data Warehousing BigQueryData GovernanceRequirements GatheringNoSQLNLPLLMELTAnalyticsLookerBITableauPower BISnowflakeDatabricksAirflowdbtFivetranAWSAzureGCPTerraformLeadership

About this role

Ledgebrook is seeking a talented Data & Analytics Engineer to address complex technical challenges in the insurance industry. The role will own the design, development, deployment, governance, security, and scalability of the company’s modern data stack while partnering with technical and business stakeholders.

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)
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