AI-Native Data Engineer: Snowflake & Data Warehouse Expert

FinTech Collective, LLC; Kuala Lumpur; On-site; MYR 120,000 - 180,000; Full time

Job summary

MoneyLion's Kuala Lumpur office houses a data engineering team focused on building a scalable, AI-native analytics platform. The Data Engineer will design and optimize Snowflake-centric pipelines, coupled with modern data stack components, to support business decisions with reliable, fast queries.

You will collaborate with data scientists, product managers and engineers to deliver data solutions, govern data assets, and drive cost efficiency while mentoring junior engineers in a fast-paced

Qualifications

• Bachelor's degree in computer science, Data Engineering, or related technical field.
• 1-4 years of hands-on data engineering experience in large-scale, high-volume environments.
• Expert-level proficiency in SQL optimization for multi-petabyte datasets and advanced Python programming.
• Experience with Snowflake architecture, optimization, and cost management at enterprise scale.
• Demonstrated expertise building Kimball dimensional data warehouses and star schema architectures, or equivalent experience with thoughtful, non-generic projects.
• Advanced experience with AWS cloud infrastructure and either DBT or SQLMesh for data transformations.
• Familiarity with AWS is a big plus.
• Experience in planning day to day tasks, knowing how and what to prioritise and overseeing their execution.

Responsibilities

• Extensive expertise operating & optimizing a modern data warehousing solution (Snowflake preferred) from both performance and cost perspectives.
• Expertise with Apache Kafka, real-time data processing, and event-driven architectures
• Collaborate with data scientists, business analysts, product managers, software engineers and other data engineers to develop, implement and validate deployed data solutions.
• Build and maintain data pipelines from internal databases and SaaS applications
• Implement better solutions for data governance at scale, encompassing lineage, discoverability, and regulatory compliance.
• Advocate best practices, uphold the highest standards for code maintainability and performance, and constantly champion our team’s core values of psychological safety and building in public.
• Lead the team in honing our ways of working, coaching and mentoring junior engineers, and managing senior stakeholders from external departments.

Skills

SQL optimization

Python programming

Dimensional data modeling

Data pipelines

Snowflake architecture

AWS cloud

Leadership

Stakeholder management

Education

Bachelor's degree in computer science or related field

Tools

Snowflake

Apache Kafka

Apache Iceberg

DBT

SQLMesh

Python

Job description

MoneyLion's Kuala Lumpur office houses a data engineering team focused on building a scalable, AI-native analytics platform. The Data Engineer will design and optimize Snowflake-centric pipelines, coupled with modern data stack components, to support business decisions with reliable, fast queries.

You will collaborate with data scientists, product managers and engineers to deliver data solutions, govern data assets, and drive cost efficiency while mentoring junior engineers in a fast-paced