Data Analytics Engineer
Core
Build and maintain Ebury's Data Platform by developing ETL/ELT pipelines, creating data models, and ensuring data quality for the entire company.
Role type
Analytics Engineer
Builds
Ebury's Data Platform serving Data Scientists, Data Engineers, and Analysts
Domain
FinTech / Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, Python, ETL/ELT pipeline development, data modeling, pipeline orchestration, software engineering practices (version control, testing, CI/CD)
Preferred skills
Google Cloud Platform (BigQuery), dbt, Looker, Airflow
Technologies
Google Cloud Platform, Apache Airflow, dbt, Looker, Looker Studio, Github, Jira
Responsibilities
Gather business requirements and define action plans; Design, develop, deploy, and maintain ELT/ETL data pipelines from various sources; Manage overall pipeline orchestration using Airflow; Serve hands-on delivery of data models using solid software engineering practices; Contribute to and promote best practices for query development, version control, code review, documentation, and testing.
Seniority
Mid-level, hands-on IC
