Data Engineer
Core
Design, improve, and enhance scalable data architecture and orchestrate data pipelines to support internal decision-making and client visibility.
Role type
Middle Data Engineer
Builds
Streaming and batch data pipelines, high-performance data models, and data products within a Lakehouse/Data Mesh environment.
Domain
Cloud data engineering, data architecture, and analytics infrastructure.
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, dbt, data modeling (dimensional/star schema, SCDs), data pipeline orchestration, data quality testing, CI/CD integration, big data tools.
Preferred skills
Experience with modern Lakehouse/Data Mesh architectures, AWS ecosystem, Apache Iceberg, Trino, Kafka, Dagster.
Technologies
AWS, Apache Iceberg, dbt, Trino, Kafka, Dagster
Responsibilities
Build and maintain high-performance, tested dbt models; write efficient SQL transformations; collaborate to translate data needs into trusted datasets; monitor and improve data pipeline quality and performance; integrate new data sources via ingestion pipelines; implement data tests and CI/CD validations; contribute to data product development in a Data Mesh architecture.
Seniority
Middle, hands-on IC
