We’re looking for motivated, engaged people to help make everyone’s journeys better.
We are seeking a skilled Data Engineer to drive the design, build, and maintain scalable data pipelines and infrastructure that support analytics, reporting, and data-driven decision-making. The ideal candidate has strong experience in data architecture, ETL processes, cloud platforms and database technologies. You will work closely with data analysts, data scientists, and business stakeholders to ensure high-quality, reliable, and accessible data solutions.
Data Architecture & Pipeline Development
1. Design, develop, and maintain scalable data pipelines and workflows
2. Build and manage ETL/ELT processes to ingest, transform, and load data from multiple sources
3. Develop and maintain data warehouses and data lakes
4. Integrate data from APIs, internal systems, third-party platforms, and databases
5. Automate manual data processes to improve efficiency and scalability
Data Quality, Governance & Security
6. Ensure data accuracy, integrity, and consistency across systems
7. Implement and enforce data governance, security, and compliance standards
8. Maintain clear documentation of data models, architecture, and processes
9. Establish data validation, monitoring, and alerting mechanisms
Performance Optimization & Operations
10. Monitor, troubleshoot, and optimize data workflows and pipeline performance
11. Optimize database queries and improve overall system efficiency
12. Support continuous improvement of data infrastructure
13. Participate in code reviews and follow best practices in version control and CI/CD
Collaboration & Business Support
14. Work closely with analysts, data scientists, and business stakeholders to translate requirements into technical solutions
15. Provide clean, structured datasets to support analytics and reporting
16. Support business intelligence initiatives and advanced analytics use cases
Education
17. Bachelor’s degree in Information Management, Computer Science, Data Science, or related field or relevant work experience
Work Experience
18. 2+ years of experience in data engineering or related role (adjust per level)
19. Strong proficiency in SQL
20. Experience with Python, Scala, or Java
21. Experience with ETL/ELT tools (e.g., Fivetran, Airflow, dbt, Talend, Informatica)
22. Hands-on experience with Snowflake, AWS, Azure, or GCP
23. Experience with relational and NoSQL databases
24. Understanding of data warehousing and dimensional modelling
Certification, licenses and registration
25. Industry certifications (any professional-level cloud certification (AWS/Azure/GCP, Snowflake)
Core Competencies Required
26. Strong analytical and problem-solving skills, ability to diagnose complex data issues and develop scalable solutions
27. High attention to detail, ensuring data accuracy, integrity, and reliability
28. Clear and effective communication skills, translating technical concepts for non-technical stakeholders
29. Collaborative mindset, working effectively across cross-functional teams
30. Strong sense of ownership and accountability for data quality and pipeline performance
31. Adaptability and continuous learning orientation in a fast-evolving technology environment
If you want to be part of a team that helps make travel and culinary memories, join us!