UK jobs. Bigger possibilities.
167,000+ live jobsRequirements
Minimum qualifications:
- Bachelor's degree in Computer Science, a related field, or equivalent practical experience.
- 7 years of Capital Markets and Exchanges experience designing and architecting solutions for issuance, clearing, trading, settlement, custody, reference, and market data.
- 4 years of experience in software or data engineering with one or more programming languages (e.g., Python, Go, or Java), including experience with design patterns, testing frameworks, and API contract design.
- Experience in Financial Services, including experience with the regulatory and operational rigors of clearing, settlement, or custody.
Preferred qualifications:
- Experience designing and implementing smart contracts within regulated Financial Market Infrastructures (FMIs). This includes managing the life-cycle of tokenized assets.
- Experience working in a high-maturity DevOps culture (trunk-based development, automated testing, blue/green deployments).
- Proficient in BigQuery, Vertex AI, Dataflow, and Pub/Sub.
- Understanding of data residency, encryption at rest/transit (CMEK), and "Explainable AI" requirements in banking.
- Strong understanding of relational, NoSQL, and analytical data modeling (Star Schema, Data Vault, etc.).
- Ability to independently drive the discovery phase, moving from a vague business problem to a structured PRD and a working technical demo.
The role
Germany: €148000 - €151000 (EUR) + 20% bonus target + equity + benefits
Learn more about benefits at Google. Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Frankfurt am Main, Germany; Zürich, Switzerland; Munich, Germany; London, UK.
Responsibilities
- Design and architect solutions such as scalable position-keeping services, hybrid financial instruments handling, low latency and stream solutions for trading exchanges.
- Evaluate and integrate solutions with modern data foundations, including Relational Databases, Data Lake Houses, and real-time streaming architectures, ensuring data pipelines are optimized for AI retrieval, agentic workflows, and real-time financial insights.
- Partner with client leads(business user) to create Product Requirement Documents (PRDs), clearly defining Critical User Journeys (CUJs) and success metrics.
- Create clear technical guides to ensure a seamless hand-off from Point of Contact to engineering teams.
- Build reusable Proof-of-Concept and MVP code, documentation, presentations demonstrating reworld solutions using Google Cloud Platform.
Hiring process
Apply online
Assessments
Online test · Not every role
You may be asked to take the Google Hiring Assessment (workstyle skills) and, for some roles, role-related assessments such as a coding exercise.
Recruiter conversations
With a recruiter · Phone call · 1–2 sessions
One or two shorter conversations assessing key skills, sharing information about the organisation and team, and asking about your preferences such as location.
Project work
In your own time · Not every role
For some roles, a small project before interviews: a case study, writing or code samples.
Interviews
With a rotating cast of Googlers
A panel of structured interviews, over video or in person, with a rotating cast of Googlers; open-ended role-related questions scored against the same rubric for every candidate, no brainteasers.
Decision and offer · With a recruiter
- Structured interviews: every candidate for a role is scored against the same rubric; no brainteasers.
- AI tools are not permitted during interviews.
- For some roles, pre-selected interviews happen virtually before final interviews onsite.
About Google
- Industry
- Technology
- Founded
- 1998
- Employees
- 100,000+
- Headquarters
- Mountain View, USA
- Website
- google.com
Location
Google · London
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