Data Engineer

Direct message the job poster from tigerlab

At tigerlab, we empower insurers, MGAs, retailers, and innovators by serving as the engine of their digital transformation. Our mission is to drive sustainable growth, operational excellence, and long‑term partnerships through a powerful, flexible insurance platform, expert‑led implementations, and tailored experiences.

We are a talented, flat, and collaborative team of engineers and builders who have launched beloved products, pioneered insurtech innovation, and scaled complex platforms. We thrive on truth‑seeking, bold ideas, spirited debates, and shipping high‑quality software.

Our office is in Bandar Utama, Malaysia, just steps away from one of the largest shopping malls in the country. We work with top‑tier tools like Jira, Confluence, GitHub, Postman, Sentry, and Stripe, and we empower our team to continuously shape our data and AI capabilities.

About This Role

As one of tigerlab’s first Data Engineers , you will play a foundational role in architecting and scaling our data ecosystem . You’ll work hands‑on across the entire stack, ingesting raw event streams, shaping data models, building analytics pipelines, and enabling self‑serve insights for all teams.

You will collaborate closely with founders, as well as our Sales, Product, and Delivery teams to turn raw data into strategic intelligence , fueling AI‑driven underwriting, smarter product decisions, and customer insights. Your work will also help define how tigerlab delivers scalable, reusable, and trustworthy data services that accelerate growth and operational excellence for insurers, MGAs, retailers, and innovators.

This is a rare opportunity to lay the groundwork for a modern analytics ecosystem , shape a self‑serve data culture, and directly impact how tigerlab and our clients make data‑driven decisions.

What We’re Looking For

You have at least 4 years of experience as an analytics‑focused Data Engineer , ideally working with fast‑growing companies managing high‑volume datasets. You thrive in environments where you can build things from scratch, evaluate new tools independently, and collaborate with non‑technical stakeholders who are eager for data‑driven insights.

You are scrappy, hands‑on, and excited to help shape the data culture of an AI‑driven organization.

What you’ll do :

• Work directly with founders and leaders across Sales, Product, and Delivery to understand their analytical requirements and build foundational datasets.
• Design, optimize, and expand our event‑driven data infrastructure (Kafka, Firehose, S3, Athena).
• Ensure accurate, compliant, and scalable storage of structured and semi‑structured data.
• Build and maintain pipelines powering internal dashboards, external analytics, pricing models, underwriting insights, and AI‑driven features.
• Create reusable dashboards, datasets, and visualizations for operational performance and customer intelligence.
• Prepare large datasets for analysis, machine learning, and predictive modeling.
• Support business teams with deep dives and ad‑hoc data investigations.
• Define and maintain data contracts in partnership with engineering.
• Implement data observability, monitoring, and alerting to ensure reliability.
• Occasionally participate in client discussions to understand their data needs or present analytical findings.
• Help establish tigerlab’s data culture as the first member of the Data team.

You Should Apply If…

If you love building data foundations from scratch, working with brilliant teammates, and enabling AI‑driven decision‑making across an entire organization, we’d love to meet you.

Send your resume to

Let’s design smarter insurance experiences together

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