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VP-level full-stack engineer in Goldman Sachs' Hong Kong Synthetics Products Group (Global Banking & Markets), designing and maintaining scalable platforms for risk hedging, trade execution, and post-trade processing, collaborating with front-office teams and leveraging AI.
VP-level data engineer at Goldman Sachs in London building the firm's modern Lakehouse and AI data platform: designing, testing and operating production batch/streaming pipelines, data models and curated datasets for analytics and AI use cases. Core tech: Python or Java, SQL, Spark, Kafka, Snowflake, Databricks and Iceberg.
Vice President-level Data Platform Engineer at Goldman Sachs in London, designing, building and supporting data pipelines and curated datasets on a modern lakehouse data platform — covering ingestion, transformation, modelling and quality controls — to power analytics and AI use cases.
A Vice President-level engineer at Goldman Sachs in Singapore who designs, builds, and operates production-grade data pipelines on the firm's lakehouse data platform. Day-to-day work spans data ingestion, modeling, optimization, governance, and data quality to power analytics and AI use cases.
A Vice President full-stack engineer at Goldman Sachs in Singapore designs and builds high-performance, low-latency platforms for risk hedging, trade execution, and post-trade processing, collaborating with trading, sales, quants, and operations while applying AI to drive efficiency.
VP-level data engineer at Goldman Sachs in Singapore building batch and streaming pipelines, curated datasets and shared tooling on the firm's Lakehouse/AI data platform, with emphasis on data modelling, quality and reconciliation. Core stack: Python or Java, SQL, Spark, Kafka, Snowflake, Iceberg and Databricks.
A Vice President-level data engineer at Goldman Sachs in Warsaw builds AI-first data governance infrastructure for Global Banking & Markets: cloud-native Lakehouse platforms on AWS (Databricks, Snowflake), event-driven pipelines, and AI/ML-driven automation and monitoring for regulatory compliance, while leading architecture and engineering best practices.
As a Vice President of Data Engineering, you will design and build cloud-native data governance infrastructure and AI-enabled workflows for a global banking platform, ensuring governance by design and collaborating with international teams.
Vice President-level hands-on Java engineer on Goldman Sachs' FICC Structured Products Technology team in Hong Kong, leading front-office trade automation. Day to day: designing, building and running trading and sales workflow systems in Java and the firm's SecDB/Slang stack, working directly with traders, sales and strategists.
Full-stack software engineer (Associate/VP) on Goldman Sachs' Synthetic Products Group front-office engineering team in Hong Kong or Tokyo, building high-performance platforms for trade execution, booking, risk hedging and post-trade processing of synthetic equity derivatives. Core stack is Java, with a strong emphasis on agentic AI/LLM tooling and low-latency, event-driven systems.
A data engineer role (Analyst/Associate level) at Goldman Sachs in London, building batch and streaming pipelines, curated datasets and data-quality controls on the firm's Lakehouse and AI data platform. Core stack includes Python or Java, SQL, Apache Spark, Kafka, Snowflake, Databricks and Iceberg.
Goldman Sachs is seeking a Data Engineer to design, build and operate data pipelines on a modern Lakehouse and AI data platform in London. You will contribute to ingestion, transformation, modelling and data quality,…
Goldman Sachs in London seeks an Associate Software Engineer to contribute to massively scalable software, building backend services and data pipelines. You will work with cross-functional partners to deliver reliable…
As a Vice President and technical lead, you will architect and build a cloud-native, AI-first data platform for Electronic Trading. The role involves designing high-performance, low-latency systems to process massive data volumes using Java, Kafka, Flink, and Snowflake while mentoring engineering teams.
Software engineer in Goldman Sachs' Core Engineering division in London, building scalable market risk data workflows, ETL pipelines and visualization tools that deliver risk metrics to senior management and regulators. Core tech: Python, SQL and Tableau.
Associate Software Engineer at Goldman Sachs in Negros Occidental, Philippines, focused on data modeling, warehousing, analytics, and automation. Day to day you build end-to-end software with global teams while ensuring data quality and compliance with control policies and risk frameworks.
Goldman Sachs Group, Inc. seeks aSenior Software Engineer/VP to redesign and maintain enterprise asset and application inventory systems across the firm. You will lead Java development, drive cloud-native…
Goldman Sachs Group, Inc. in Dallas seeks a Vice President Data Engineer to help build a Lakehouse and AI data platform, delivering reliable data pipelines and scalable data products. You will design, implement and…
Goldman Sachs is seeking a senior hands-on infrastructure engineer for the Foundational Infrastructure Cloud Architecture and Engineering team in Seattle. You will research, design, test, and develop AWS-based compute…
Goldman Sachs Sydney is hiring a GSET Production Engineer, Vice President, to own the production environment and provide critical day-to-day production support for electronic trading platforms. You will work with a…
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