Senior AI Analytics Engineer
At Crypto.com · Hong Kong
- Data and ML
- Full-time
- Senior
See how well you match Match me reads your CV and picks the jobs that suit you best.
Get jobs like this within hours Radar emails you new jobs open to you within hours of us finding them, before most people see them.
Where you’ll work
Hybrid, based in Hong Kong
“Hong Kong”
From the location.
The job board lists it as hybrid.
Hybrid means some days in the office. The listing says how many, and where.
Report a mistake
- Posted
- 22 October 2026
- First seen by us
- 4 November 2026
- Last checked
- 18 hours ago
Job description
From Crypto.com’s job post, as they wrote it.
Key Responsibilities
Data & AI Architecture: Design, build, and maintain production-grade data models to bridge raw data streams with downstream applications and BI tools. Using LLMs and AI tools to generate data documentation, write SQL/Python transformations, convert warehouse dialects, and diagnose pipeline error logs.
Analytics Engineering: Standardize data modeling practices and build robust, reliable, scalable semantic layers that feed clean, trustworthy data to downstream analytics and reporting.
Read the full description
Business & Requirements Analysis: Occasionally lead scoping discussions with product, tech and finance stakeholders to translate business requirements into functional specs, user stories, and data mapping documents.
Business Logic Translation: Reconciling data definitions across departments, a critical human-led task that AI cannot fully automate
Data Quality & Governance: Establish automated testing, monitoring, and data quality frameworks to guarantee financial-grade reliability.
Performance Optimization: Optimize query performance, warehouse costs, and pipeline orchestration.
Requirements & Qualifications
• Experience: 5+ years of experience in Data Engineering, Analytics Engineering, or Data Science, with at least 2 years in an AI environment.
• Technical Mastery:
Advanced SQL capabilities.
Hands-on expertise with modern data transformation and orchestration frameworks (dbt, Airflow, Prefect, Dagster).
Deep experience with cloud data warehouses (Snowflake, Databricks, BigQuery).
• AI Technical Stack:
Understanding of feature engineering, AI agentic workflow lifecycles, and evaluation metrics.
Experience with deploying AI agentic workflows in production environments.
• Business Analysis Skills: Demonstrated ability to occasionally gather business requirements, define key metrics, and translate stakeholder needs into structured data assets.
• Software Engineering Principles: Strong experience with version control (Git), CI/CD practices for data pipelines, and production code testing.
Senior AI Analytics EngineerCrypto.com
Apply on Crypto.com (opens in a new tab)Get jobs like this by email
Once a week, we email the new remote jobs open where you live, each with the line that proves it. Every email has a one-click unsubscribe.
