Twilio is hiring a
Data Engineer, Remote - Ireland

Summary

Join Twilio as a Staff Data Engineer on the Messaging Data Platform team, based remotely in Ireland. Build and maintain scalable data pipelines for messaging stacks and internal engineering solutions. Requirements include 5+ years of experience with Big Data processing tools, familiarity with ETL tools, cloud services, and Lakehouse technologies.

Requirements

• 5+ years of experience with Big Data processing tools and frameworks such as Apache Spark, PySpark, SparkSQL
• Deep technical understanding of ETL tools, low-latency data stores, multiple data warehouses and data catalogs
• Familiarity with data testing and verification tooling and best practices
• Experience with cloud services (AWS preferred, Google, Azure etc.)
• Proficient in working with Key-Value, Streaming, and Search Database technologies, including AWS DynamoDB, Apache Kafka, and ElasticSearch
• Experience with Lakehouse technologies, such as Apache Hudi, Apache Iceberg, Databricks Delta Lake
• Experience in building AI/ML pipelines
• Readiness to participate in the on-call rotation

Responsibilities

• Oversee the design, construction, testing, and maintenance of advanced, scalable data architectures and pipelines
• Drive the development of innovative data solutions that meet complex business requirements
• Create and enforce best practices for data architecture, ensuring scalability, reliability, and performance
• Provide architectural guidance and mentorship to junior engineers
• Tackle the most challenging technical issues and provide advanced troubleshooting support
• Collaborate with senior leadership to align data engineering strategies with organizational goals
• Participate in long-term planning for data infrastructure and analytics initiatives
• Lead cross-functional projects, ensuring timely delivery and alignment with business objectives
• Coordinate with product managers, analysts, and other stakeholders to define project requirements and scope
• Continuously monitor and enhance the performance of data systems and pipelines

Preferred Qualifications

• Demonstrated technical breadth and depth as evidenced by papers, code, and/or presentations
• Experience with high-level programming languages, like Java, Python, Scala
• Exposure to service-oriented architectures, microservices and REST APIs
• Experience with containerization and orchestration tools (e.g., Docker, Kubernetes)

Benefits

• Competitive pay
• Generous time-off
• Amy parental and wellness leave
• Healthcare
• Retirement savings program