Regional Data Engineering Manager

Who we are

Intrepid Asia is a leading Ecommerce and Digital Solutions Provider in South East Asia. We offer end-to-end omni-channel ecommerce management, Livestreaming, Video production & Affiliate Management for Social Commerce plus full funnel 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 and social commerce in SEA, and experience what it takes to drive a successful ecommerce business end-to-end.

The team you will be part of

The D&AI team transforms multi-platform data into governed insights and AI-powered assistance for our business and clients. We run agile, iterative cycles to standardize KPIs, expose opportunities, and embed answers into daily workflows. By fusing internal performance with market intelligence, customers gain profitable growth through continuous gap/opportunity discovery, leaner operations via automation, and faster, accountable decision-making.

The part you will play

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.

As a Regional BI Data Engineering Manager, you will take charge of 

• 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.

What we are looking for - the ideal profile

• 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.

In return, you will be getting

• Ship impact in agile cycles. Partner with stakeholders, iterate fast, and enable decisions from weeks to minutes
• Build the governed data foundation. Ultimately, this serves as a trusted semantic layer for self-service.
• Fuse performance with market intelligence. Benchmark price, assortment, content, share, and sentiment to reveal gaps and opportunities.
• Drive measurable outcomes. Help customers grow revenue by continuously identifying gaps and opportunities, optimise costs through automation, and improve accountability with clear metrics.
• Think big, build scalable. Design solutions that handle multi-marketplace complexity with efficiency and reliability.

We also offer

Best of Both Worlds

We are a scale up: the sophistication of a small multinational, with the agility of a start-up. This means you get to work on cutting-edge projects, and besides your 'standard' job description, we love to see you show entrepreneurial initiative and want to see your take on how you can take your role and our company to the next level. Good ideas get implemented. You are the master of your own destiny.

Culture that Brings Out the Best

At Intrepid, culture is not just a buzzword, it is what we practice at work every day. We believe in collaboration over competition, transparency over politics, and willingness to learn over ego. You will be part of a team where people genuinely support one another, celebrate wins together, and face challenges head-on as one. We put our all into the work but we balance it with fun, whether that is through team lunches, after-work hangouts, events or shared laughter in the office. This is a place where you can thrive professionally while having a great time.

Grow Without Limits

Learning at Intrepid is constant and dynamic. You will have access to formal training through face-to-face sessions, coaching and our very own Intrepid Academy. On top of that, real-world experience such as leading clients, working with advanced tech, and mastering best-in-class processes will accelerate your growth every step of the way. Surrounded by a talented team that raises the bar daily, in a rapidly growing and ever-expanding business, the opportunities for your development are endless.

Rewarding You Right

We believe great work deserves great rewards at Intrepid. That’s why we offer competitive compensation and generous benefits, including comprehensive insurance and ample leave, to support you both in and out of the workplace. We want you to feel valued, cared for, and empowered to bring your best self to work every day.

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