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Lead / Senior data engineer: Python / AWS / Databricks
Job summary
An innovative technology consulting firm in Kuala Lumpur is seeking a Senior Data Engineer with expertise in Databricks, Python, SQL, and AWS. You will design and enhance cloud-based data architectures, develop data pipelines, and lead a proactive team. Ideal candidates have strong communication skills and experience in a data-driven environment. This role offers a hybrid work arrangement, supporting both on-site and remote collaboration.
Qualifications
- 8+ years of experience for Lead Data Engineer, with leadership skills.
- 5+ years of experience for Senior Data Engineer.
- Experience building data pipelines rather than just maintaining them.
Responsibilities
- Design and improve cloud-based data architecture to support scalability.
- Develop and maintain reliable data pipelines and automation workflows.
- Lead technical discussions with stakeholders.
- Coach and mentor junior engineers.
Skills
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
- 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
- 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)
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.