In 2026, Flexii (an on-demand work-matching platform operating in Hong Kong, Singapore, and Taiwan) is scaling its mission to “unlock people’s potential” through flexible work. We’re searching for a Data Engineer / Analyst who can Boost🚀 Flexii’s growth to the next level.
Flexii connects employers with flexible workers across Asia. Every unfilled shift costs a business a booking and a worker a paycheck. We want someone who can build the data behind that and use it to fix things. This is a hands-on hybrid role: you’ll own our data end to end, working closely with frontend, backend, product and marketing. No handoffs. No waiting for tickets.
Key Responsibilities
Data Infrastructure & Engineering (~50–60%)
- Pipelines: Build and maintain ETL/ELT pipelines from our web portal, mobile app and APIs into BigQuery.
- Data Architecture: Own schema design, partitioning and clustering, and plan our move toward hybrid SQL/NoSQL.
- Data Quality: Set up data quality checks, monitoring and alerting.
- Event Tracking: Track the full journey, from worker sign-up to churn and from employer onboarding to re-booking.
- Backend Collaboration: Work with backend on API instrumentation, PostgreSQL tuning and NoSQL adoption (Bigtable, MongoDB).
Data Analysis & Modeling (~40–50%)
- Platform Insights: Dig into retention, churn, satisfaction and platform economics: fill rate, CAC, worker LTV and take rate.
- Segmentation: Segment the users that matter, such as high-frequency vs. seasonal workers and high-value vs. long-tail businesses.
- Dashboards & Alerts: Build dashboards in Looker Studio (or Power BI, Tableau), plus alerts for market imbalances like a local worker shortage.
- Scoring Models: Build scoring models with NLP and embeddings for job–worker fit and review sentiment.
- Experiments: Evaluate A/B tests on matching and product changes.
- Recommendations: Turn findings into clear recommendations for product, marketing and leadership, then push for them.
Required Qualifications & Qualities
- Experience: 2+ years in data engineering, analytics engineering or a similar role.
- SQL & Warehousing: Strong SQL (PostgreSQL preferred) and hands-on BigQuery, Redshift or Snowflake.
- ETL/ELT: Experience with Cloud Functions, Dataflow, Composer, Airflow or similar.
- BI Tools: Looker Studio, Looker, Tableau or Power BI.
- NLP & Embeddings: Vector embeddings or NLP libraries (Gemini Embeddings, Hugging Face, scikit-learn).
- Engineering Basics: Working knowledge of APIs, Git and how frontend and backend fit together.
- Commercial Sense: You care about the “so what” behind the number.
- Languages: Fluent English and Mandarin, written and spoken. You’ll present findings to teams in Taiwan, Singapore and Hong Kong.
- Communication: A clear communicator with non-technical people, comfortable wearing multiple hats and moving fast.
Nice to Have
- GCP beyond BigQuery (Vertex AI)
- ML deployment
- NoSQL
- Background in marketplaces, gig economy, HR-tech or recommendation systems
Why Flexii
You’d be building the data function, not inheriting one. What you ship goes straight to product and leadership.
Please note: Due to the high volume of applications, we unfortunately can’t get back to every one of you and only successful applicants will be contacted. When you share your details with us, we consider this as consent for us to use your data during the application process. At the moment, Flexii is not in a position to sponsor work visas so you have to be eligible to work legally in the country where we are hiring.