Data Meaning is a front-runner in Business Intelligence and Data Analytics consulting. We are proactively searching for Senior Data Engineers to support future projects and platform modernization efforts across our client portfolio.
Requirements
- Develop and maintain ELT pipelines using Snowflake, Python, and Apache Airflow
- Implement data ingestion and transformation logic for batch and incremental pipelines
- Convert existing SQL transformations into dbt models
- Implement dbt testing frameworks (schema, relationship, freshness tests)
- Participate in pipeline walkthroughs and knowledge transfer sessions with the existing team
- Document data pipelines and operational procedures
- Support the transition from vendor-managed pipelines to Data Meaning ownership
- Monitor production pipelines and data workflows
- Troubleshoot pipeline failures and operational issues
- Improve monitoring, alerting, and operational reliability
- Implement automated data validation and quality checks
- Support the development of a data quality framework
Benefits
- Flexible working hours
- Casual working atmosphere
- Professional development opportunities