Data Enablement Lead

Lalamove
Hong Kong
Workplace: OnsiteFull timeFunction: Administration & Executive AssistanceSkills: ["Stakeholder management","Project coordination","Cross-functional collaboration","Risk management"]

Build and optimize business-unit analytics engineering capabilities by bridging backend data infrastructure with self-service analytics products. Own localized data pipelines and coordinate with central platform teams to keep upstream data flowing. Design next-generation data consumption tools such as high-performance cubes/semantic layers and AI/LLM query bots (e.g., text-to-SQL) while establishing standards for modeling, monitoring, and data quality.

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FursaFursa
Lalamove
Lalamove
1 month ago

Data Enablement Lead

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Source: Company careers pageValidated by: Fursa AI
Last checked: 4 hours agoStatus: Live

Job Summary

Build and optimize business-unit analytics engineering capabilities by bridging backend data infrastructure with self-service analytics products. Own localized data pipelines and coordinate with central platform teams to keep upstream data flowing. Design next-generation data consumption tools such as high-performance cubes/semantic layers and AI/LLM query bots (e.g., text-to-SQL) while establishing standards for modeling, monitoring, and data quality.
Location: Hong Kong
Workplace: Onsite
Employment Type: Full time
Job Function: Administration & Executive Assistance

Key Responsibilities

  • •Build, maintain, and optimize data pipelines feeding the business unit’s analytics layer across Apache Hive and Apache Doris.
  • •Architect non-data-person-facing tools (data cubes/semantic layers and AI/LLM-powered query bots such as text-to-SQL).
  • •Establish best practices for data modeling, pipeline monitoring, and data quality within the business unit’s local repository.
  • •Act as the primary technical interface between analytics/operational teams and the central platform data engineering team.
  • •Scope, prioritize, and manage end-to-end analytics engineering projects, educating stakeholders on self-serve tools and data literacy initiatives.

Key Requirements

  • •5+ years in data engineering, analytics engineering, or technical data product management.
  • •Strong proficiency in SQL and Python with experience in large-scale warehouses (Apache Hive) and OLAP engines (Apache Doris, ClickHouse, StarRocks, or similar).
  • •Experience building interactive data tools (e.g., Cube.js, semantic layers) or using AI/LLM frameworks (e.g., LangChain, OpenAI APIs, Text-to-SQL).
  • •Deep understanding of dimensional modeling (star schemas), data aggregation, and query optimization.
  • •Ability to coordinate across cross-functional engineering teams and translate non-technical needs into clear technical specifications.
Skills:Stakeholder managementProject coordinationCross-functional collaborationRisk management
Tech Stack:SQLPythonApache HiveApache DorisClickHouseStarRocksCube.jsSemantic layersLangChainOpenAI APIsText-to-SQL

Company Brief

Lalamove
On-demand logistics platform providing same-day delivery, courier, and freight services for individuals and businesses across urban centers, connecting drivers with customers via a mobile and web app.
Industry: Last Mile Delivery
Company Size: Enterprise (1,001+ employees)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series E+
Headquarters: Hong Kong, Hong Kong
Founded: 2013
WebsiteLinkedIn