Job Description

Key Responsibilities

- Design and develop automated ELT processes ensuring a high level of data quality and reliability, using tools such as Spark, Apache Airflow, DBT, Python, Databricks, etc.

- Build and maintain batch and real-time data processing using Apache Kafka and AWS services like SNS, SQS, and Kinesis, supporting microservice architectures.

- Maintain the data lake in AWS and Databricks, building well-governed, query-oriented data models for efficient consumption.

- Implement monitoring and observability for the pipelines you work on.

- Collaborate cross-functionally, assisting other teams in identifying, collecting, and processing valuable information for diverse business use cases.

- Support the Data Science team by helping ensure stable, scalable environments for model deployment and experimentation.

- Build and maintain CICD pipelines, following best practices for automatic deployment and consistency.

- Help administer and maintain deployed infrastructure.

- Follow and contribute to engineering standards and best practices across the Data Engineering team.

- Deliver work on time, managing your own priorities in line with team commitments.

📌 Data Engineer (Madrid)
🏢 Ryanair Group Holdings
📍 Madrid