Senior Data Engineer
You’ll hit the ground running in a fast-paced enterprise setting - delivering on data engineering goals while mentoring and supporting fellow team members along the way.
Key Requirements:
- Proven background in data engineering within complex enterprise setups.
- Proven track record building and designing data pipeline and data warehouse solutions.
- Speed in adopting existing frameworks, workflows, and delivery methodologies.
- Exceptional communication, cross-team collaboration, and stakeholder management abilities.
- Background in environments with established data governance and high-maturity data modeling.
- Solid grasp of conceptual, logical, and physical data modeling frameworks.
- Practical knowledge of Kimball dimensional modeling, Data Vault, or equivalent modern EDW architectures.
- Hands-on capability converting conceptual data models into functional physical schemas and transformation jobs.
- Passion for coaching team members and driving higher standards in documentation, data design, and modeling practices.
- Ideally experience across dbt, AWS (Redshift & Glue), Azure DevOps, SQLDBM, Jira & Confluence
We look forward to your application.
Natalie Parr