An Engineering Lead role within the embedded finance team, focused on building the world's best embedded finance platform for partners, involving hands-on engineering, mentoring, and driving technical decisions.
Compensation
Starting salary: £105,000-£135,000 base + RSU's
Responsibilities
Designing, developing, and maintaining the team’s services
Mentoring and supporting a small team of engineers in their growth and development
Supporting the team in technical decisions to ensure high quality and scalability
Working closely with a Product Manager to own and drive the team’s direction and product plans
Collaborating with teams across Wise to expand platform functionality
Design, develop, and implement enterprise-level test automation frameworks and performance testing solutions for web, API, database, integration, and cloud-based environments.
Responsibilities
Design, develop, and maintain enterprise-level test automation frameworks and reusable automation components.
Develop and execute automated tests for web applications, APIs, databases, integrations, regression, and end-to-end scenarios.
Design and conduct load, stress, scalability, endurance/soak, and performance benchmark testing.
Establish performance baselines, quality gates, and production readiness criteria.
Analyze test results, identify defects and performance bottlenecks, and coordinate with development and infrastructure teams for resolution.
Requirements
University degree or college diploma in Computer Science, Information Technology, Engineering, or a related discipline
The Data Strategy and Execution Lead will own the Trading and Risk Management (TRM) data strategy and drive its execution: translating trading ambitions into a prioritized roadmap of trusted, governed and reusable data products, and defining the information architecture required for AI-enabled trading.
Compensation
We also offer competitive salary and benefits combined with outstanding career development opportunities in one of the largest and most solid private companies in the world.
Responsibilities
Defines the TRM data strategy, target state, priorities and value cases.
Translates trading and risk-management ambitions into a sequenced roadmap, investment choices, measurable outcomes and an execution backlog.
Leads directly or partners with other data teams to evolve critical datasets into governed, high-quality, reusable data products fit for analytics, AI and trading needs.
Shapes, balancing corporate standards and specific trading and risk management needs, and stewards the TRM information architecture.
Serves as the technical authority for TRM data engineering.
Requirements
Bachelor's degree in computer science, engineering, information systems, data management or a related field
Nice to have: Commodities trading experience
Nice to have: Financial-markets experience
Nice to have: Risk-management environment experience
We are seeking a Solutions Engineer with strong Informatica platform experience and deep automation and integration engineering expertise to design, architect, and deliver end-to-end solutions that enable an enterprise data marketplace and broader data platform capabilities.
Responsibilities
Architect end-to-end data marketplace and data platform integrations spanning Informatica products and non-Informatica enterprise tooling.
Design scalable, secure, and reliable architectures with an automation-first and integration-by-design mindset.
Define reference architectures, integration patterns, and extensibility models for marketplace, metadata, governance, and data product use cases.
Design and implement solutions using Informatica capabilities such as data integration, metadata management, data catalog, governance, data quality, and automation services.
Configure and extend Informatica platforms to enable automated data product onboarding, discovery, lineage capture, access workflows, and marketplace interactions.
Experienced Trading Systems Software Engineer to help build applications, platforms and engineering capabilities that support QRT’s global trading environment.
Responsibilities
Design, develop and maintain production-grade applications, services and APIs supporting QRT’s trading platform
Build shared platforms and reusable capabilities that can be adopted across multiple trading desks and engineering teams
Develop modern web applications and operational tools that improve visibility, control and efficiency across trading workflows
Design scalable distributed and event-driven systems that integrate with trading platforms, market data services and internal infrastructure
Build deployment tooling, release automation and self-service capabilities that make software easier and safer to deploy and operate
The Forward Deployed Engineer (Agentic AI) embeds with enterprise clients to design, build and operationalize agentic AI solutions in production, integrating agentic systems with enterprise platforms and systems of record.
Responsibilities
Lead technical discovery, scope agentic AI use cases, and translate business problems into engineering deliverables
Design target architectures that fit the client's environment, regulatory posture and platform preferences
Write production-grade code to deliver the solution
Build and tune retrieval pipelines, prompt architecture, guardrails, agent orchestration and human-in-the-loop controls
Implement enterprise-safe agent tool execution, including permission scoping, approval gates, audit trails and rollback paths
Requirements
Bachelor’s degree in computer science, engineering, information systems or related field, or equivalent practical experience
Lead the technical direction of a data product squad serving Nike Direct, Wholesale Demand, Inventory, 3PP Demand, Customer Dimensional data, WFM, Clickstream, Member, or Orderbook.
Responsibilities
Define the strategy and roadmap for consumption and ontology layers
Mentor SWE I and SWE II engineers
Reduce KLO/TCO while accelerating delivery
Lead the design of consumption layers, APIs, and pipelines
Drive aggressive simplification and unification of data products landscape
Requirements
Bachelor's or Master's degree in Computer Science, Information Systems, or related field
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