Senior Data Engineer

About Airalo

Alo Airalo is the world's first eSIM store that helps people connect in over 200+ countries and regions across the globe. We are building the next digital service that revolutionizes the telecom industry. We are a travel-tech company and an equal-opportunity environment that values and executes diversity, inclusion, and equity. Our team is spread across 50+ countries and six continents. What glues us together is our commitment to changing the way you connect.

Check out more information about Airalo in our Public Handbook here.

About you

We hope that you care deeply about the quality of your work, the intrinsic worth of tasks, and the success of your team. You are self-disciplined and do not require micromanagement in terms of your skillset and work ethic. You do your best to flourish as an individual every day while working hard to foster a collaborative team environment. You believe in the importance of being — and staying — authentic, honest, positive, and kind. You are a good interlocutor with clear and concise communication. You are able to manage multiple projects, have an analytical mind, pay keen attention to detail, and love to get your hands dirty. You are cognizant, tolerant, and welcoming of vulnerabilities and cultural differences.

About the Role

Position: Full-time / Employee

Location: Remote-first

Benefits: Health Insurance, work-from-anywhere stipend, annual wellness & learning credits, annual all-expenses-paid company retreat in a gorgeous destination & other benefits

The Senior Data Engineer will play a key role in designing, debating and implementing our strategic data architecture  and ensuring reliable and efficient data flows across the platform. You will develop, automate, and maintain data pipelines, enhancing the efficiency and reliability of our data systems. Your expertise will be crucial in optimizing data engineering workflows and upholding the highest standards of data governance and security.

• Lead data architecture discussions and design scalable, reliable data systems that support our growing business needs
• Build and maintain production-grade data pipelines using modern data stack tools and methodologies
• Partner with cross-functional teams to deliver data solutions that drive business value
• Mentor team members and contribute to our culture of continuous learning and knowledge sharing
• Ensure data quality, privacy, and governance standards across all data initiatives

• Bachelor's degree in Computer Science, Engineering, Statistics, Information Systems, or another quantitative field
• 5+ years of professional experience as a Data Engineer or Software Engineer in data-rich organizations
• 3+ years specifically in data engineering, with experience leading data architecture discussions and technical decision-making
• Experience with a major cloud platform (AWS/GCP etc), ideally with some exposure to Infrastructure as Code or remote configuration tools.
• Hands-on experience with cloud-native data warehouses such as BigQuery (preferred),  Snowflake, Redshift,  and data lakes architectures
• Experience with transformation tools like dbt, and distributed data processing frameworks such as Apache Spark or Apache Flink.
• Strong coding experience in Python/Scala and advanced SQL knowledge across relational and non-relational databases
• Maintain and optimize high-performance data pipelines with comprehensive CI/CD automation, implementing observability frameworks (metrics, logging, distributed tracing) and data quality gates to ensure pipeline freshness, accuracy, and completeness
• Drive data-platform architecture decisions by turning ambiguous problems into technical designs and project plans and taking ownership of the end-to-end solutions.
• Strong communication skills to effectively partner with stakeholders across the organization
• Proven ability to work independently while collaborating effectively in team environments

• Experience working with Internet and technology companies
• Experience working with Telco, MNOs & MNVOs
• Experience working in a fast-paced scale up environment

By applying, you acknowledge and agree that, in case of successful application, Airalo may request to run background checks as a condition for entering into an agreement with you. Rest assured that these checks will only occur upon your prior consent and at the end of the selection process, and will be strictly limited to what is allowed under the laws that are applicable to you. All data that you share or that we collect in connection with such checks will be processed in accordance with our Privacy Policy, available here.

To maintain transparency in our hiring process, we want to let you know that our recruitment team may use AI-powered tools to support specific tasks, such as assessing resumes and taking notes during interviews. We want to be clear that these tools are used to assist our team, and AI never makes the final hiring decision. That responsibility rests entirely with our amazing team of recruiters.

We sincerely thank all applicants in advance for submitting their interest in this opportunity. Airalo is an equal-opportunity employer and values diversity, equity & inclusion. We do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to providing reasonable accommodations upon request for individuals with disabilities throughout our job interview process.