MY-Senior Analytics Engineer

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're seeking a Senior Analytics Engineer who operates at the intersection of data engineering, analytics, AI innovation, and governance. You will build scalable, trusted data pipelines and models, act as a key enabler between data analysts and engineers, and drive the adoption of AI technologies within our data ecosystem.

In this strategic role, you'll:

• Deliver governed, AI-ready datasets.
• Integrate AI/ML solutions into analytics workflows.
• Serve as a mediator between business-facing analysts and backend engineers.
• Spearhead data quality, governance, and innovation initiatives

Key Responsibilities:

Data Engineering & Modelling

• Design, build, and maintain robust, scalable data pipelines and models using modern data stack tools (dbt, BigQuery, Snowflake).
• Develop and manage semantic layers, curated datasets, and data marts that empower analytics and reporting.
• Translate business analysis needs into technical requirements for pipeline and model development.

AI Integration & Innovation

• Prototype and integrate AI/ML models, including LLMs (e.g. GPT), into data pipelines and reporting solutions for process automation and advanced insights.
• Identify, evaluate, and experiment with AI technologies relevant to data management, quality monitoring, and self-service analytics.
• Drive AI-enabled data solutions like predictive dashboards, NLP summarisation, or automated anomaly detection.

Data Governance & Quality

• Lead the data governance function within the analytics domain:

• Define and enforce data standards, lineage tracking, and access controls.

• Manage data cataloging, metadata documentation, and ensure compliance with regulations (e.g. GDPR, PDPA).
• Ensure data accuracy, consistency, and trustworthiness across the data estate.

Cross-Team Mediation & Enablement

• Serve as the link between Data Analysts and Data Engineers:

• Translate analytical needs into engineering solutions.

• Communicate technical constraints and best practices to business users.

• Ensure analysts can easily access, understand, and utilize governed datasets.

• Provide training and documentation to empower self-service analytics.

Who We're Looking For:

• 5+ years experience in analytics/data engineering or BI development.
• Expertise in SQL, dbt, cloud data platforms (BigQuery, Snowflake).
• Proficiency in Python for data workflows and light AI/ML integrations.
• Hands-on exposure to AI/ML APIs (OpenAI, Gemini, Claude, Windsurf etc.) and practical AI solution deployment.
• Solid foundation in data governance, metadata management, and data quality standards.
• Strong communicator who values transparency and open exchange of ideas.
• A positive, collaborative mindset with a can-do attitude views challenges as opportunities to innovate.
• Comfortable engaging both technical peers and non-technical stakeholders.
• Passion for learning, experimentation, and pushing boundaries.

Cultural Fit:

• Values open communication and radical transparency in work and feedback.
• Thrives in a solution-oriented environment where ideas are welcomed from every team member.
• Enjoys working in a fast-moving, innovation-driven organization.
• Takes initiative and brings a self-starter approach to projects.
• Comfortable collaborating across multi-disciplinary teams, acting as both a technical expert and a mediator.

Optional Additions:

• Experience with OpenMetadata or other data cataloging tools.
• Familiarity with RAG (retrieval-augmented generation) frameworks.
• Prior experience in eCommerce, fintech, or digital-first organizations.

Why Join Us?

• Lead and innovate in a modern data platform powered by AI.
• Build data foundations that empower the business and enable AI-driven insights.
• Work in a trust-based, collaborative culture where experimentation is encouraged.
• Be part of a forward-thinking team that values not just what you build, but how you build it—with openness, integrity, and teamwork.

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