Data Platform Engineer
hace 2 días
About Ebury
Ebury is a fintech company with a hybrid work model, offering a dynamic environment for data professionals. We are seeking a Senior Data Engineer to join our Data Platform Engineering team in Madrid.
Salary and Benefits
The estimated annual salary for this position is €120,000, plus benefits including health insurance, retirement plan, and paid time off.
Job Description
We are looking for a highly skilled Senior Data Engineer to design, develop, and maintain our data warehouse and serve it to the whole company. As a key member of our Data Team, you will work collaboratively with data scientists, engineers, and analysts to build ETLs and data pipelines, provide clean and transformed data, and automate solutions to improve analysis efficiency.
About Our Technology Stack
We use Google Cloud Platform as our main cloud provider, Apache Airflow for orchestration, Docker for PaaS, dbt for data transformation, Looker and Looker Studio for BI tools, Github for code management, Jira for project management, and Synq for data observability.
Responsibilities
- Participate in data modeling reviews and discussions to validate accuracy and alignment with business objectives.
- 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.
- Manage pipeline orchestration using Airflow and execution using GCP hosted services.
- Work on reducing technical debt and implementing data governance policies.
Requirements
- Experience with data engineering, ETL/ELT pipelines, and data warehousing.
- Strong understanding of cloud computing, data transformation, and data governance.
- Proficiency in programming languages such as Python, Java, or Scala.
- Familiarity with Apache Airflow, Docker, dbt, and other mentioned technologies.
- Excellent communication and collaboration skills.
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