Data Engineer
Primary stack
Nice to have's
Job description
About the Position
Ryanair Labs, the technology brand of Europe’s Largest Airline Group, is currently recruiting for a Data Engineer to join our state-of-the-art digital & IT innovation hub. This is a very exciting time to join Ryanair as we look to expand our operation to 800 aircraft and 300 million guests within the next 10 years.
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.
Requirements
- 3+ years in data engineering or related data processing roles.
- Strong experience working with varied data formats and sources (JSON, CSV, Parquet, APIs, multiple DB engines).
- Hands-on experience with data modelling in Big Data platforms (e.g. Databricks, Glue, Snowflake).
- Familiarity with event-driven architectures and AWS.
- At least 2 years of hands-on experience with AWS, especially:
- Core: IAM, S3, EC2, VPC
- Data Services: EMR, Lambda, Batch, SNS, SQS, DynamoDB, Glue, Athena
- Ability to set up and maintain monitoring, alerting, and debugging solutions for your pipelines.
- Experience collaborating with Data Science teams to support production-grade pipelines.
Nice to Have
- Solid understanding of computing systems (OS, memory, networks, etc.).
- Proficient in data analysis and interpretation, with a good grasp of statistics and data quality methods.
- Strong SQL and performance tuning skills.
- Good knowledge of Big Data technologies, Spark, and object storage systems.
- Proficiency in Python (and optionally Scala), with strong coding and testing practices.
- Familiarity with Docker; Kubernetes experience is a plus.
- Airflow (or similar) for orchestration.
- Good understanding of IaaC and CICD principles.
- Dashboard and storytelling experience for data visualization.
We Offer
- Competitive salary
- Professional growth opportunities
- Collaborative and innovative work environment
About the Company
Ryanair Labs is the technology brand of Ryanair. Labs is a state-of-the-art digital & IT innovation hub creating Europe's Leading Travel Experience for our customers.
© Ryanair. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.
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