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hace 1 mes
Ebury, a leading FinTech firm, is seeking a skilled Data Engineer to join its Data Engineering team. The ideal candidate will have a strong background in data/analytics engineering, with experience in building, maintaining, and optimizing data pipelines and ETL processes on big data environments.
About the role:
The Data Engineer will work closely with the team to model and maintain the Data Platform, utilizing Google Cloud Platform, Apache Airflow, and dbt Cloud. The successful candidate will have proficiency in Python and SQL, as well as knowledge of software engineering practices in data.
Responsibilities:
- Design, develop, deploy, and maintain ELT/ETL data pipelines from various data sources.
- Serve hands-on delivery of data models using solid software engineering practices.
- Participate in data modelling reviews and discussions to validate the model's accuracy, completeness, and alignment with business objectives.
Requirements:
- At least 3+ years of data/analytics engineering experience.
- Proficiency in Python and SQL.
- Knowledge of software engineering practices in data.
- Fluency in English.
What we offer:
Ebury provides a dynamic and collaborative work environment, with opportunities for growth and development. The successful candidate will be mentored by an outstanding performance team member and will participate in data modelling reviews and discussions.
