Regional Data Engineering Manager

About Us

Intrepid Asia is a leading Ecommerce and Digital Solutions Provider in South East Asia. We offer end-to-end omni-channel ecommerce management, a wide range of Digital Marketing Services and advanced Market Intelligence, all powered by state of the art inhouse Technology to our client base of leading international brands across all key marketplaces and social platforms in all 6 SEA countries. Brands love our regional presence, our excellent data-driven and growth-focused services which are enabled by the strongest team in the industry, and our advanced marketing and tech capabilities.

We are growing rapidly and as the exclusive partner of Flywheel in SEA,  we offer many exciting opportunities to work with leading brands across multiple categories and key industry players. By joining us, you will work on the cutting edge of digital commerce in SEA, and experience what it takes to drive a successful ecommerce business end to end.

The Role

We are seeking a seasoned and innovative Data Engineering Manager to lead our talented team of data engineers. You will take ownership of our entire data ecosystem, ensuring the reliability, scalability, and efficiency of our data pipelines and data warehouses. Your primary mission will be to maintain and enhance our current infrastructure built on Google Cloud Platform (GCP), Airflow, dbt, StarRocks, and Google BigQuery while architecting its evolution to support our ambitious goals in AI, SaaS, and enterprise-level analytics.

The ideal candidate is a hands-on leader with a strategic mindset, a passion for technology, strong business acumen, and a relentless drive for improvement. You will be instrumental in fostering a culture of excellence, agility, and cost-conscious innovation within the team.

Key Responsibilities

• Team Leadership & Mentorship:
  • Lead, manage, and mentor a team of data engineers, fostering their professional growth and cultivating a collaborative, high-performance culture.
  • Champion Agile methodologies (Scrum/Kanban) to manage project priorities, deadlines, and deliverables effectively.
• Data Platform & Pipeline Management:
  • Oversee the end-to-end data lifecycle, ensuring the robustness and performance of our data pipelines orchestrated with Apache Airflow and transformations managed by dbt.
  • Manage and optimize our dual data warehouse strategy, leveraging StarRocks for transformation and analytics, and
    Google BigQuery for large-scale data warehousing.
  • Champion DataOps principles, implementing best practices for CI/CD, automated testing, and infrastructure as code.
• Data Quality & Observability:
  • Design and implement a comprehensive data quality framework, establishing metrics and SLAs for our critical datasets.
  • Implement and manage a data observability platform to proactively monitor, alert, and troubleshoot issues across the data stack, minimizing data downtime.
  • Develop and own our data governance strategy to ensure data accuracy, security, and compliance.
• Data Architecture & Strategy:
  • Design and evolve our data architecture to be future-ready for enterprise-grade data services and new business initiatives.
  • Collaborate closely with data scientists, analysts, product managers, and business stakeholders to understand data requirements and deliver impactful solutions.
  • Drive cost-optimization initiatives across our data stack, ensuring we achieve maximum value from our cloud and technology investments.

Required Skills & Experience

• Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
• 8+ years of hands-on experience in data engineering, with a proven track record of building and maintaining large-scale data pipelines.
• 3+ years of experience in a leadership or management role.
• Expert proficiency in SQL and Python.
• Exposure to building data infrastructure to support AI/ML workflows (e.g., feature stores, MLOps).
• Deep, hands-on experience with modern data stack tools, including:
  • Workflow Orchestration: Apache Airflow
  • Data Transformation: dbt
  • Cloud Data Warehouses: Google BigQuery is a must and/or familiarity with other similar Data Warehouse technologies i.e. Snowflake, Azure Synapse Analytics, Databricks.
  • Modern OLAP Databases: StarRocks or similar (e.g., ClickHouse, Druid).
  • Familiarity with OLTP databases like MySQL and Postgres is required.
• Solid understanding of DataOps principles, data modelling, ETL/ELT design patterns, and data architecture.
• Proven experience working in an Agile/Scrum development environment.

Preferred Qualifications (Added Advantage)

• Experience within the e-commerce and/or digital marketing landscape.
• Hands-on experience with data observability platforms (e.g., Monte Carlo, Datadog, OpenTelemetry).
• Experience designing and building multi-tenant data architectures for SaaS products.
• Extensive experience with the Google Cloud Platform (GCP) ecosystem.

What we offer:

• Excellent and competitive compensation package 
• Professional and open international working environment – culturally integrating the best of all cultures to take the best of each and ensure we build an energetic, commercial, and fun working atmosphere. 
• You are one of the pioneers of a new and cutting edge Flywheel product underpinned by strong tech. You have a key position in the Intrepid Insights team working on a unique product solving complex data challenges.
• Ample opportunity for personal and professional development, both on the job and through regular training (Ecommerce topics, technical skills, soft skills and leadership training) made available on our proprietary learning platform Intrepid University
• You will work with many brilliant co-workers who are movers and shakers of the industry, as well as with leading brand and ecosystem partners across all categories to shape their presence across all ecommerce platforms in the years to come, and will have a broad view on the latest developments in the South East Asian e-commerce ecosystem

Note: we will not be accepting any unsolicited resumes or CVs from headhunting or recruitment agencies at this point. Any CVs or profiles shared with us will not be entertained, and in the event of dispute, Intrepid will not be liable for any material compensation to third parties