Senior Analytics Engineer

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Senior Analytics Engineer

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Aigens

Aigens Technology Limited is a market leader in F&B and Hospitality technology, empowering over 500 brands across the Asia Pacific, including global names like KFC, Burger King, Starbucks, Shake Shack, Hyatt, and Accor. Headquartered in Hong Kong, we specialize in innovative solutions that transform customer experiences and maximize operational efficiency.

As pioneers in mobile ordering and QR code technology, Aigens has been instrumental in steering the digital revolution of the F&B and Hospitality industry. Our versatile product portfolio—including Kiosk and Mobile Ordering solutions, POS, Payment, Loyalty systems, and Middleware—helps businesses attract more customers, increase order sizes, foster loyalty, and streamline operations.

With rapid growth in the past three years, expanding to 9 regional offices and a team of 150 (and counting), Aigens is shaping the future of F&B and Hospitality technology. If you are passionate about innovation and want to make an impact in this dynamic industry, join us and be part of our journey.

About the Role We are seeking a hands‑on Senior Analytics Engineer as the primary architect of our data infrastructure. In this pivotal role, you will transition the company from fragile, ad‑hoc reporting to a robust, scalable data ecosystem by building sustainable ETL pipelines and "Source of Truth" data models. You will bridge the gap between engineering and business, ensuring that our raw data is not only technically sound but also accurately translated into high‑impact executive dashboards.

What your daily work looks like

Design and implement scalable data schemas (e.g., Star Schema, Dimensional Modelling) that translate complex business processes into clean, usable datasets for analysis

Define and govern the "Data Dictionary" for the company, ensuring metrics like "Gross Margin" or "Churn" are calculated consistently across all systems

Develop and maintain data pipelines, which involve the extraction of data from various sources (databases, APIs, and external systems), data transformation to ensure quality and consistency, and loading the processed data into data warehouses or other storage systems

Optimize data processing and storage systems for performance and scalability

Translate vague business questions from leadership into precise SQL queries and data visualizations

Troubleshoot pipeline failures, monitor data freshness, and ensure accuracy in reporting

Document data lineage and technical architecture to ensure the system is maintainable and audit‑proof

Stay updated on the latest tools and best practices

Requirements

Bachelor’s degree in Data Science, Computer Science, Information Systems, Engineering, or related fields

5+ years of relevant experience in Data Engineering, Architecture, and Business Intelligence

Ability to write complex, optimized queries (Window functions, CTEs) and design efficient database schemas

Proficiency in Python (Pandas, Requests) for scripting custom ETL jobs and API integrations

Proven experience building "Business‑Ready" data models (transforming raw logs into clean Fact/Dimension tables)

Hands‑on experience with BI platforms (Tableau, Looker, Power BI, etc.)

Strong problem‑solving and analytical skills

Excellent Communication Skills and Ability to work both Independently and Collaboratively

Able to explain technical data concepts to non‑technical stakeholders

Excellent interpersonal skills and ability to work well with others

Demonstrates attention to detail and accuracy in work

Ability to work effectively under pressure and meet deadlines

Willingness to continuously learn and stay updated with industry trends and advancements

Demonstrates a strong sense of accountability and responsibility

Fluent in English both verbal and writing

Proficient in Mandarin and Cantonese is a plus

Benefits

Competitive salary for the right candidate

Hybrid, 5‑day work week

Friendly and people‑oriented work environment

Working in a flat culture with talented individuals

Join a young and growing brand backed by a great investment team

Aigens is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, colour, gender, religion, sexual orientation, national origin, genetic information, or any other protected characteristic.

All applications will be handled in strict confidence and will only be used for recruitment related purposes. Applicants who do not hear from us within 6 weeks from the date of application may consider their applications unsuccessful. All information on unsuccessful candidates will be retained for a maximum period of 24 months.

Seniority level Mid‑Senior level

Employment type Full‑time

Job function Information Technology

Industries IT Services and IT Consulting

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