Data Engineer
flexiple
Job Description
Pipeline Development
- Design and build ETL/ELT pipelines that move data from source systems to the warehouse
- Model data for analytics and reporting use cases
- Optimise pipeline performance and manage compute and storage costs
Data Quality & Governance
- Build validation and monitoring so pipeline failures surface immediately
- Document data lineage, schemas, and definitions for downstream users
- Partner with analytics and product teams on their data requirements
Ideal Candidate Profile
- 2 to 6 years building data pipelines or warehouse infrastructure
- Strong SQL skills plus experience with Python or Scala for pipeline development
- Experience with a modern data warehouse (Snowflake, BigQuery, or Redshift)
- Clear written and spoken English and a reliable remote-work setup
Preferred Qualifications
- Experience with orchestration tools (Airflow, Dagster, or Prefect)
- Exposure to streaming systems (Kafka, Kinesis) and real-time pipelines
- A degree in computer science, statistics, or a related field