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Senior Data Engineer

Airalo

HybridHybrid

Original Job Summary

About Airalo

Alo! Airalo is the world’s first eSIM store that helps people connect in over 200+ countries and regions. As a travel-tech company, Airalo is revolutionizing the telecom industry through digital services with a global, diverse team spread across 50+ countries and six continents.

About You

You value quality work, direct communication, and collaboration. You are self-disciplined, detail-oriented, and excel at managing multiple projects while fostering a positive team environment.

About The Role

As a Senior Data Engineer at Airalo, you will deliver reliable, scalable data solutions, lead architecture discussions, and mentor team members in a remote-first, async environment. You will work closely with data analytics, engineering, and product teams to evolve our data platform.

  • Lead architecture discussions for scalable data systems.
  • Build and maintain production-grade data pipelines.
  • Collaborate with cross-functional teams for data solutions.
  • Mentor team members and contribute to continuous learning.
  • Ensure data quality, privacy, and governance standards.

Key Skills/Competency

  • data architecture
  • data pipelines
  • cloud platforms
  • Python
  • SQL
  • Apache Spark
  • CI/CD
  • data quality
  • mentorship
  • data governance

How to Get Hired at Airalo

🎯 Tips for Getting Hired

  • Customize your resume: Highlight leadership in data engineering projects.
  • Research Airalo's culture: Understand their travel-tech and global focus.
  • Emphasize technical skills: Showcase cloud, Python, and SQL expertise.
  • Prepare for interviews: Practice explaining data architecture decisions.

📝 Interview Preparation Advice

Technical Preparation

Review cloud platform services documentation
Practice building scalable data pipelines
Revise SQL and Python coding techniques
Study CI/CD and data observability frameworks

Behavioral Questions

Describe a time you led a project.
Explain conflict resolution with team members.
Share an experience of managing multiple deadlines.
Discuss adapting in a remote global setting.