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Vice President-level backend engineer on Goldman Sachs' Private Wealth Management onboarding team in Birmingham, building microservices in Java and Spring with MongoDB to onboard and manage client and account data. The role spans distributed services, testing, monitoring, and the full SDLC.
Software Engineer - Data, Lakehouse and AI Data Platform Engineer - Analyst/Associate - London location_on London, Greater London, England, United Kingdom The Opportunity Join a team building the data foundations that…
Global Banking Markets - Software Engineer - Equities Data Platform Engineering - London - Vice President location_on London, Greater London, England, United Kingdom The Equities Data Platform team is core to…
VP-level software engineer on Goldman Sachs' Equities Data Platform team in London, owning the architecture and delivery of a cloud-native, AI-first core system for real-time analytics and fiduciary functions across Equities and Listed Options, while mentoring engineers and guiding technical direction.
GBM – Software Engineer, Quantitative Enablement Platform (Vice President) location_on Warsaw, Mazowieckie, Poland Your Impact The future of quantitative investing belongs to platforms that turn massive data into…
Design, build and operate data pipelines on a modern Lakehouse and AI data platform in London, covering ingestion, transformation, modelling and data quality to deliver reliable data products for analytics and AI. Core stack is Python or Java with SQL, and experience with Spark and Snowflake is valued.
Goldman Sachs in London is seeking a Vice President to join the Global Banking Markets team as a Low-Latency Java Software Engineer. You will help design, build and optimize high-performance trading infrastructure in a…
Build and maintain scalable data pipelines and curated datasets for a modern Lakehouse and AI data platform, enabling reliable analytics and AI use cases at a global investment bank.
The VP, Data Platform & AI Lakehouse Engineer will design, build, and maintain scalable data pipelines and curated datasets to support analytics and AI initiatives at Goldman Sachs. This role involves managing the full data lifecycle, including ingestion, transformation, and optimization to ensure high-quality data products.
At Goldman Sachs, our Engineers don’t just make things – we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our…
Builds and maintains financial systems in Java or Python to ensure accurate measurement, reporting, and regulatory compliance for a global bank.
Build and maintain scalable data pipelines and curated datasets on a modern Lakehouse and AI data platform, using Python, SQL, Spark and Kafka to support analytics and AI use cases.
Builds Java/Spring microservices for a private-wealth onboarding platform at a global bank, collaborating with cross-functional teams.
Build and maintain large-scale data pipelines and curated datasets for a modern Lakehouse and AI data platform, using Python, SQL, Spark and Snowflake to support analytics and AI use cases at a global bank.
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