Data Engineer - Messaging Data Platform

Remote - Ireland

Applications have closed

Twilio

Connect with customers on their preferred channels—anywhere in the world. Quickly integrate powerful communication APIs to start building solutions for SMS and WhatsApp messaging, voice, and email.

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See yourself at Twilio

Join the team as Twilio’s next Data Engineer, Messaging Data Platform team.

Who we are & why we’re hiring

Twilio powers real-time business communications and data solutions that help companies and developers worldwide build better applications and customer experiences.

Although we're headquartered in San Francisco, we have presence throughout South America, Europe, Asia and Australia. We're on a journey to becoming a global company that actively opposes racism and all forms of oppression and bias. At Twilio, we support diversity, equity & inclusion wherever we do business.

About the job

This position is needed to build and maintain highly scalable, reliable, and efficient data pipelines that will empower both inbound and outbound messaging stacks, not to mention other internal engineering solutions, with its data insights interfaces for real-time decision-making.

Responsibilities

In this role, you’ll:

  • Develop, construct, test, and maintain data architectures (e.g., databases, large-scale processing systems).
  • Design and implement efficient data pipelines for the acquisition, storage, and analysis of large datasets.
  • Collaborate with cross-functional teams to understand data requirements and implement solutions.
  • Ensure the availability and integrity of data pipelines and systems.
  • Optimize and fine-tune performance of data solutions.
  • Troubleshoot and resolve data-related issues in a timely manner.
  • Develop and maintain documentation for data processes and pipelines.
  • Stay abreast of emerging technologies and industry trends related to data engineering.
  • Create tools that make it easy for non-technical users to easily, and reliably, transform and query data.

Qualifications 

Not all applicants will have skills that match a job description exactly. Twilio values diverse experiences in other industries, and we encourage everyone who meets the required qualifications to apply. While having “desired” qualifications make for a strong candidate, we encourage applicants with alternative experiences to also apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!

Required:

  • 3+ 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.
  • Readiness to participate in the on-call rotation.

Desired:

  • Experience with Lakehouse technologies, such as Apache Hudi, Apache Iceberg, Databricks Delta Lake.
  • Experience in building AI/ML pipelines.
  • Demonstrated technical breadth and depth as evidenced by papers, code, and/or presentations.
  • Experience in 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).
  • Bachelor's degree in Computer Science, Engineering or a related field, or equivalent training, fellowship, or work experience.

Location

This role will be based in Dublin or remotely in Ireland.

Travel 

We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings.

What We Offer

There are many benefits to working at Twilio, including, in addition to competitive pay, things like generous time-off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.

Twilio thinks big. Do you?

We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic. Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts.

So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now!

If this role isn't what you're looking for, please consider other open positions.

Twilio is proud to be an equal opportunity employer. Twilio is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Twilio is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please contact us at accommodation@twilio.com.

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Job stats:  7  2  0
Category: Engineering Jobs

Tags: APIs Architecture AWS Azure Big Data Computer Science Databricks Data pipelines Docker DynamoDB Elasticsearch Engineering ETL Java Kafka Kubernetes Machine Learning Microservices Pipelines PySpark Python Scala Spark Streaming Testing

Perks/benefits: Competitive pay Flex vacation Health care Medical leave Parental leave

Regions: Remote/Anywhere Europe
Country: Ireland

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