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Software Engineering, Lakehouse and AI Data Platform Engineer, Associate, Singapore
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Full-time
bachelor degree, postgraduate degree
Training And Development Opportunities, Firmwide Networks, Wellness Programs, Personal Finance Offerings, Mindfulness Programs
Posted 10d ago
~40 hrs/week
Responsibilities
Design, build, and support scalable data pipelines and curated datasets on a modern Lakehouse and AI data platform. Ensure data reliability and quality while contributing to shared tooling and framework components to improve platform operations.
Requirements
Requires a degree in a relevant quantitative field and strong programming skills in Python or Java along with SQL proficiency. Candidates must have experience with distributed data processing frameworks like Apache Spark and software engineering fundamentals.
Full job description
The Opportunity
Join a team building the data foundations that support the firm’s AI and analytics capabilities. This role sits within the engineering effort to develop a modern Lakehouse and AI data platform that enables reliable, well-governed and high-performing data use across the firm.
At Goldman Sachs, engineering teams are positioned at the centre of the business, building scalable systems, solving complex technical problems and turning data into action. In data engineering roles, the emphasis is on designing, building and maintaining large-scale data platforms, delivering production pipelines, improving reliability and quality, and partnering closely with users of the platform.
This is a delivery-focused role for engineers who want to build robust data assets in production, work with modern data technologies, and grow over time within the firm. You will contribute to the data models, pipelines and platform capabilities that underpin analytics, operational decision-making and emerging AI use cases, and may also help extend platform tooling where additional functionality is needed.
Role Summary
As a Data Engineer in the Lakehouse and AI Data Platform team, you will design, build, test and support data pipelines and curated datasets on the firm’s modern data platform. You will work across ingestion, transformation, modelling, optimisation and data quality, helping to deliver data products that are reliable, scalable and fit for purpose. Where there are gaps in platform functionality, you may also contribute to shared tooling or framework components that improve how the platform is used and operated.
The role is suited to engineers who are comfortable writing code, working with SQL and distributed data processing, and solving practical delivery problems in a team environment. More experienced candidates may also contribute to technical design, platform standards and the shaping of delivery approaches across a wider set of use cases.
Key Responsibilities
Pipeline Engineering
Build, enhance and support batch and streaming data pipelines on the Lakehouse and AI data platform.
Refactor or modernise existing data flows where needed to improve reliability, performance and maintainability.
Where needed, build reusable tooling to improve delivery, consistency and operational support.
Ensure data pipelines are production-ready, well tested and operationally supportable.
Data Modelling and Curation
Develop raw, refined and curated datasets that support analytics, reporting and AI use cases.
Apply sound data modelling principles to represent business entities, relationships and historical change accurately.
Work with consumers to shape data products that are usable, well documented and aligned to business needs.
Data Quality and Reconciliation
Implement controls to validate completeness, accuracy and consistency of data across pipelines and datasets.
Use reconciliation approaches to build confidence in production outputs and investigate breaks where they arise.
Contribute to clear standards for testing, monitoring and issue resolution.
Contribute to practical improvements in testing, monitoring or reconciliation tooling where these strengthen platform reliability and day-to-day delivery.
Delivery and Partnership
Work closely with engineers, platform teams and data consumers to deliver agreed outcomes to time and quality expectations.
Communicate clearly on progress, risks, dependencies and design choices, including where delivery would benefit from improvements to shared platform tooling.
For more senior candidates, take a broader role in technical leadership, task breakdown and support for junior engineers.
Skills and Experience
Required
Bachelor’s or master’s degree in a relevant discipline, or equivalent practical experience, with evidence of strong quantitative skills or data engineering expertise.
Strong hands-on programming experience in Python or Java.
Good working knowledge of SQL, including troubleshooting, optimisation and data analysis.
Ability to learn new tools, internal platforms and delivery workflows quickly.
Familiarity with software engineering fundamentals, including version control, testing, release discipline and CI/CD practices.
Data Engineering Capability
Understanding of temporal data modelling, including the handling of historical state and change over time.
Knowledge of schema design, schema evolution and data compatibility considerations.
Understanding of partitioning, clustering and other techniques used to improve data performance at scale.
Ability to make sensible design choices across normalised and denormalised models, and between natural and surrogate keys.
Practical approach to data quality, reconciliation and root-cause analysis.
Experience building or supporting production data pipelines in a collaborative engineering environment.
Experience working with distributed data processing frameworks such as Apache Spark.
Working knowledge of common data formats such as JSON, Avro and Parquet.
ABOUT GOLDMAN SACHS
At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.
We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers.
Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.
Related keywords
LakehouseAI Data PlatformData EngineeringPythonJavaSQLApache SparkData ModellingCI/CDJSONAvroParquetDistributed ComputingData PipelinesSchema EvolutionTemporal Data Modelling
We aspire to be the world’s most exceptional financial institution, united by our shared values of partnership, client service, integrity, and excellence.
Operating at the center of capital markets, we act as one firm, mobilizing our people, capital, and ideas to deliver superior results across our clients’ most complex challenges.
For 157 years, Goldman Sachs has delivered world-class execution on a global scale across our leading Global Banking & Markets and Asset & Wealth Management businesses.
Apprenticeship is central to our culture, with hands-on coaching and access to leaders who bring decades of experience and expertise. With office locations around the world, we offer a broad range of career opportunities to those who insist on excellence and thrive on performance.
Find our Social Media Disclosures here: gs.com/social-media-disclosures
Offices: 200 West Street, New York, New York 10282, US
We aspire to be the world’s most exceptional financial institution, united by our shared values of partnership, client service, integrity, and excellence.
Operating at the center of capital markets, we act as one firm, mobilizing our people, capital, and ideas to deliver superior results across our clients’ most complex challenges.
For 157 years, Goldman Sachs has delivered world-class execution on a global scale across our leading Global Banking & Markets and Asset & Wealth Management businesses.
Apprenticeship is central to our culture, with hands-on coaching and access to leaders who bring decades of experience and expertise. With office locations around the world, we offer a broad range of career opportunities to those who insist on excellence and thrive on performance.
Find our Social Media Disclosures here: gs.com/social-media-disclosures
Offices: 200 West Street, New York, New York 10282, US