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Senior/ Lead Data Engineer

Newbridge · Удалённо · Singapore

# Senior/ Lead Data Engineer **Newbridge** · Singapore · `Remote` · `Full Time` 💼 **Уровень роли:** `Senior` 🕒 **Статус:** *Опубликовано: сегодня* · *Источник: Himalayas (JSON API)* --- ### Top Skills & Match 🎯 **Ключевой стек роли:** `[Data-Engineer]` `[Lead-Data-Engineer]` `[Data-Architect]` `[Analytics-Engineer]` `[Senior-Lead-Data-Engineering]` `[Senior-Data-Engineering]` `[Senior-Data-Engineering-Leader]` `[Lead-Data-Engineer-Jobs]` `[Senior-Data-Engineer-Jobs]` `[Senior-Data-Engineer-Positions]` `[Data-Engineering-Lead]` --- ### About the Role Our client is a global consulting firm operating from 30+ offices worldwide across the Americas, Europe, and Asia-Pacific. As a trusted advisor to the Office of the CFO, they partner with management teams and private equity sponsors to solve complex finance, accounting, and transformation challenges - free from audit independence constraints. The Mandate: You will build governed, audit-ready pipelines that turn fragmented client data into trusted, AI-ready assets. This is a central, load-bearing role working alongside AI Engineers and Data Scientists. Key Responsibilities: - Build and operate end-to-end ingestion pipelines from ERP, clinical, customer and operational systems (batch + streaming) into a governed lakehouse. - Own transformation, modelling, and semantic layer to ensure consistent business logic across BI and AI. - Prepare and serve AI-ready data - curated datasets, embeddings, and RAG corpora. - Own data quality, master data / entity resolution, and end-to-end lineage for audit readiness. - Embed governance, privacy & security by design (PDPA and APAC data residency / cross-border rules). - Build reusable accelerators and set engineering standards for the practice. Must Have: 5-10 years of hands-on production data engineering, end-to-end delivery experience, and client-facing stakeholder management. Tech Stack: Expert Python & SQL, dbt, Snowflake / Databricks, Airflow / Dagster, Iceberg / Delta Lake, plus strong understanding of data governance, vector stores, and cloud ( Azure / AWS / GCP). Originally posted on Himalayas

Наблюдалась 2026-10-10, впервые 2026-10-09, источник — Himalayas (JSON API).

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