Senior Analytics Engineer
New
Our team members thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond!Full-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 4+ years of experience in analytics engineering or data engineering
- Required Skills
- AWSPythonSQLGCPGitPostgresCI/CDdbt
Requirements
- 4+ years of experience in analytics engineering or data engineering with a strong focus on the 'T' in ELT.
- Proven track record of owning data products end-to-end with high data quality and scalability.
- Ability to work with ambiguity and collaborate with stakeholders to define requirements.
- Experience proactively identifying and implementing improvements to data warehouse performance and ETL efficiency.
- Expert-level SQL and dbt skills.
- Proficiency in Python for complex transformations.
- Hands-on experience with query optimization across OLTP and OLAP systems (e.g., Postgres, Iceberg).
- Proficiency with Semantic Layer modelling (e.g., Cube, dbt Semantic Layer).
- Experience owning CI/CD workflows and Git version control.
- Familiarity with cloud environments (GCP or AWS).
Responsibilities
- Design, build, and maintain scalable data models using dbt and SQL.
- Establish and enforce best practices for data modelling, development, testing, and monitoring.
- Collaborate with finance, operations, customer success, and marketing teams to deliver reliable data products.
- Create repeatable patterns for integrating data models with BI tools and reverse ETL processes.
- Champion high standards for development, including CI/CD, change management, source control, and code reviews.
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