Internal Audit - Data Engineering - Associate - Birmingham
Added 10 Sept · still live
Not disclosed
Salary
Not disclosed by employer
£54,900
Going rate
Skilled Worker going rate
This role likely qualifies for a Skilled Worker visa
SOC 2133 (85% match) is an eligible occupation, with a going rate of £54,900, and Goldman Sachs is a licensed sponsor. That is our reading of the rules. Whether they issue a Certificate of Sponsorship is still their call.
This could also be SOC 2134 (Programmers and software development professionals, Heavy Python/PySpark development focus could be software engineering) or SOC 3544 (Data analysts, Data analysis and reconciliation work alongside engineering). We read the code off the advert, so it is our best guess, not the employer's.
About the role
Job Description
WHAT WE DO
Internal Audit’s mission is to independently assess the firm’s internal control structure, including governance processes and controls, risk management, capital and anti-financial crime frameworks. Internal Audit communicates on the effectiveness of governance, risk management and controls, raises awareness of control risk, assesses control culture and conduct risk, and monitors management’s implementation of control measures.
Data Strategy and Analytics (DSA) partners with audit teams to translate data needs into durable, reusable capabilities. The team designs data products, engineering patterns and AI-ready data foundations that improve the efficiency, consistency and insight of audit work.
YOUR IMPACT
As an Associate in DSA, you will design and implement production-grade pipelines, models and data products for the third line of defence. You will work closely with audit teams and data owners to source, transform and curate data, turning complex requirements into reliable solutions that can be reused across audit coverage.
Responsibilities
WHAT WE DO
Internal Audit’s mission is to independently assess the firm’s internal control structure, including governance processes and controls, risk management, capital and anti-financial crime frameworks. Internal Audit communicates on the effectiveness of governance, risk management and controls, raises awareness of control risk, assesses control culture and conduct risk, and monitors management’s implementation of control measures.
Data Strategy and Analytics (DSA) partners with audit teams to translate data needs into durable, reusable capabilities. The team designs data products, engineering patterns and AI-ready data foundations that improve the efficiency, consistency and insight of audit work.
YOUR IMPACT
As an Associate in DSA, you will design and implement production-grade pipelines, models and data products for the third line of defence. You will work closely with audit teams and data owners to source, transform and curate data, turning complex requirements into reliable solutions that can be reused across audit coverage.
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.
- 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.
- Experience with Snowflake and data integration from DB2, PostgreSQL or comparable enterprise platforms.
- Exposure to Spark-based processing, orchestration frameworks, CI/CD, containers and cloud data services.
Pipelines and data products are reliable, testable, supportable and delivered with clear documentation. Data issues are identified early, investigated rigorously and resolved through sustainable engineering solutions. Audit stakeholders can use consistent, trusted data more efficiently.
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 with offices around the world.
We believe who you are makes you better at what you do. We are committed to fostering and advancing diversity and inclusion in our workplace and to providing opportunities for professional and personal growth.
We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html
Position-description note: This document describes the duties most frequently performed at this position level and is not intended to be a complete list of assigned duties. The role is performed within a professional office environment. Applicable health and safety policies are available to workers upon request
© The Goldman Sachs Group, Inc., 2026. All rights reserved.
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.
This description is the source posting as it read when we added it. We are not affiliated with Goldman Sachs, so check their own site for the current details.
Where this offer sits in the market
SOC 2133 · UK · ONS ASHE 2025 · ~163k in sampleP25 £46kP75 £82k
£36kmedian £60kgoing rate £55k£100k
Similar sponsored roles
See all UK visa jobsNo close matches live right now.
Browse more sponsored jobs at Goldman SachsAbout sponsorship for this role
Does this job guarantee visa sponsorship?
Not necessarily. Goldman Sachs holds a sponsor licence, but sponsorship for a specific hire is always the employer's decision. Be upfront in your application that you'll require it.
What salary is needed for this role to be eligible?
The offer must clear both the general threshold and the SOC 2133 going rate of £54,900. New-entrant and shortage discounts can lower it.