Key skills
AWSETLCAIAgenticAnalyticsSnowflakeDatabricksCRMStakeholder Management
About this role
Role Overview
- Own the data warehouse, ensuring a scalable approach is in place that is easily accessible for analysts.
- Manage the ETL pipelines from multiple systems to the data warehouse environment.
- Create push workflows for the CRM and Marketing tools to support Operations and Marketing.
- Collaborate with engineering to ensure data availability and accessibility for new and existing features.
- Embrace AI by creating and maintaining a self service analytics tool and support agentic AI initiatives across the business.
- Drive Mixpanel adoption, focusing on strong event governance and taxonomy processes.
Requirements
- 5-8 years experience in a data engineer role.
- Experience with Snowflake, Databricks or similar.
- Experience with AWS suite and GA Analytics preferred.
- Familiarity with analytic tools such as Mixpanel or Amplitude.
- Experience managing priorities in fast paced and high growth environment.
- Strong stakeholder management, from delivery teams to C-suite.
- Experience in Fintech or B2B company is beneficial.
Tech Stack
- AWS
- ETL
Benefits
- Flexible working hours
- Professional development opportunities