Data Engineer
Core
Building scalable, secure, and reliable data platforms and automated data streams for a digital agency's clients and internal teams.
Role type
Data Engineer
Builds
Scalable data architectures, automated ETL/ELT pipelines, and centralized data environments.
Domain
Digital Agency / Data Infrastructure
Deliverable
production ML models | infrastructure
Required skills
ETL/ELT process design, Google SQL, Python, NodeJS, Cloud platforms (BigQuery, Redshift, Snowflake), Workflow tools (dbt, Airflow), Infrastructure as Code (Terraform), Containerization (Docker, Kubernetes), Git
Preferred skills
Data quality monitoring, Security and compliance (AVG/GDPR), Technical advisory
Technologies
Google SQL, Python, NodeJS, BigQuery, Redshift, Snowflake, dbt, Airflow, Git, Terraform, Docker, Kubernetes
Responsibilities
Design and build scalable data architectures; Manage and optimize ETL/ELT pipelines; Integrate diverse data sources into a central environment; Automate manual data processes; Monitor data quality, security, and compliance; Implement new tools and optimizations in the data stack.
Seniority
Mid-level to Senior, hands-on IC
