Associate Data Engineer - Audit Analytics & Pipelines

Goldman Sachs; West Midlands; On-site; GBP 75,000 - 110,000; Full time

Job summary

Goldman Sachs is seeking an Associate in Data Strategy and Analytics within Internal Audit to design and implement production-grade data pipelines and models. You will source, transform and curate data, collaborating with audit teams to deliver reusable, AI-ready data products with strong data governance.

The role emphasizes hands-on Python (Pandas/Polars/PySpark), advanced SQL, and data modelling across Snowflake, DB2 and PostgreSQL in a cloud-enabled environment.

Qualifications

• 3+ years of relevant data engineering, software engineering or data-platform experience.
• Bachelor’s degree or equivalent practical experience in computer science, engineering or a related quantitative discipline. A master’s degree is welcome.
• Hands-on proficiency in Python, including Pandas, Polars and PySpark, with experience writing testable and maintainable code.
• Strong SQL proficiency and practical understanding of OLTP databases, relational design and query performance.
• Strong understanding of data modelling, data warehousing, dimensional modelling and slowly changing dimensions.
• Experience designing and implementing ETL/ELT pipelines and working with data-lake, lakehouse or cloud data
• Strong data analytics and problem-solving skills, including the ability to profile, interpret and analyse data
• Clear written and verbal communication and the ability to collaborate across technical and non-technical teams.

Responsibilities

• Design, build, test and support production-grade ETL/ELT pipelines that source, transform and curate data for Internal Audit.
• Develop maintainable Python solutions using Pandas, Polars and PySpark, selecting fit-for-purpose approaches based on scale, performance and operational needs.
• Write advanced SQL for data transformation, reconciliation, profiling and analysis across OLTP and analytical data platforms.
• Design data models for operational and analytical use cases, including dimensional modelling, slowly changing dimensions, lakehouse and data-lake patterns.
• Work with platforms such as Snowflake and relational databases including DB2 and PostgreSQL, applying sound principles for schema design, performance and data movement.
• Implement data-quality checks, controls, lineage, observability, documentation and automated tests to improve trust and supportability.
• Contribute to AI-ready data products and semantic layers that provide consistent business meaning and governed access to data.
• Partner with audit teams and data owners to understand requirements, resolve data discrepancies and deliver reusable solutions.
• Participate in design reviews, code reviews, version-control and CI/CD practices, and provide effective production support.
• Communicate progress, issues and technical decisions clearly to both technical and non-technical stakeholders.

Skills

Python

SQL

Data modelling

ETL/ELT pipelines

Pandas

Polars

PySpark

Data warehousing

Communication

Education

Bachelor's degree or equivalent practical experience in computer science

Master's degree welcome

Tools

Snowflake

DB2

PostgreSQL

Spark

Job description

Goldman Sachs is seeking an Associate in Data Strategy and Analytics within Internal Audit to design and implement production-grade data pipelines and models. You will source, transform and curate data, collaborating with audit teams to deliver reusable, AI-ready data products with strong data governance.

The role emphasizes hands-on Python (Pandas/Polars/PySpark), advanced SQL, and data modelling across Snowflake, DB2 and PostgreSQL in a cloud-enabled environment.