lead / Senior data engineer: Python / AWS / Databricks
5 days ago
Why are they awesome?
- Data driven technology spin off from a leading aviation strategy, logistics and air cargo consultancy
- Building data-driven SaaS tools that help airlines make informed commercial decisions from; routes, maintenance, demand planning, operations and forecast models
Products / Projects
- 2 core SaaS products that are mature - actively used by customers and continuously evolving.
- 1 successful data product is already in place that provides market insights from the supply side. A new data product targeting the demand side is currently in its initial phase, with significant development and scaling planned for H2 2025 and into 2026
Current challenges
- Strategizing and planning efficient large-volume data extraction from various sources
- Optimizing and enhancing the existing data infrastructure, architecture and workflows
- Setting and driving technical standards across the data engineering function
Overall responsibilities
- Take ownership of designing and continuously improving the cloud-based data architecture (including AWS, EKS, and Databricks) to support scalability, performance, and security needs
- Develop and upkeep of reliable data pipelines, automation and CI/CD workflows
- Lead technical discussions - identify and dissect complex problems and effectively communicate solutions across tech and non-tech stakeholders
- Coach & mentor junior engineers by leading with examples
Team Org & Culture
- Reporting to the Head of Data, based in Netherlands (you will still work KL hours)
- Entrepreneurial and ambitious team from Malaysia and Europe, which include ex management consultants
- The engineering hub in KL (15 staff) supports software development, data engineering and analytics - engineers who are results-driven, proactive and ready to wear multiple hats
Must Have
- Databricks, Python, SQL and AWS - or any cloud platforms like GCP / Azure etc.
- Experience in building rather than only maintaining
- Excellent communication and problem-solving skills
Nice to have
- Strong numerical intuition and comfort working with data
- Experience in the cargo or logistics industry
Grade / Level
- Lead Data Engineer (8+ years and above, must have lead experience)
- Senior Data Engineer (5+ years and above)
Work Arrangement
- Hybrid with 3 days work from office
- Based in Bangsar South / KL Gateway (Close to MRT / LRT)
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