Data Engineer (all genders)
Core
Build reliable data models, pipelines, and data products to support operational use cases and decision-making across the organization.
Role type
Data Engineer
Builds
Data models, pipelines, and data products
Domain
IT, Data Processing, Cloud Data Warehousing
Deliverable
production ML models
Required skills
SQL, Python, data modelling, ETL/ELT concepts, data quality practices, Git-based workflows, CI/CD
Preferred skills
dbt, Google Cloud Platform, Docker, Kubernetes
Technologies
BigQuery, dbt, SQL, Python, Kafka, Flink, Google Cloud Platform, Docker, Kubernetes, Git
Responsibilities
Build and optimize data models in a modern data warehouse; Write and improve SQL-based transformations; Develop Python-based data processing jobs and automation; Improve data quality through testing and monitoring; Provide clean, reusable data assets for BI and Data Science teams; Collaborate with cross-functional teams to deliver data products.
Seniority
Professional Experience
