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Senior Engineering Team Lead - Analytics Platform

Wise is currently seeking a Senior Engineering Team Lead - Analytics Platform for its London office. This role sits within the Data Lakehouse Platform team, which…

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Role Snapshot

Hiring Now
Work arrangement
Not specified
Location
London, United Kingdom
Salary
GBP 135,000 - 175,000/yr
Apply by
Not specified
Employment type
Full-time
Experience
Not specified
Added to Jobsiz4h agoEmployer posted Oct 27, 2026
Listing Views7
Applications0
Apply BeforeNo deadline

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About This Role

Wise is currently seeking a Senior Engineering Team Lead - Analytics Platform for its London office. This role sits within the Data Lakehouse Platform team, which operates at the core of systems storing, processing, and leveraging large volumes of data, machine learning models, and generative AI capabilities. The organization builds engines of currencies, routes, products, and features that handle terabytes of data daily. In this position, you will lead the…

Job Description

Wise is currently seeking a Senior Engineering Team Lead - Analytics Platform for its London office. This role sits within the Data Lakehouse Platform team, which operates at the core of systems storing, processing, and leveraging large volumes of data, machine learning models, and generative AI capabilities. The organization builds engines of currencies, routes, products, and features that handle terabytes of data daily.

In this position, you will lead the engineering teams responsible for building and maintaining a platform that empowers the entire company to utilize petabyte-scale data for product development and intelligent decision-making. You will guide the sustainable expansion of this function, mentor engineering leads and senior engineers, and shape multiple teams across the analytics platform. Your contributions will influence how scalable analytical capabilities are established, balancing high speed with reliability, security, and operational excellence.

The role emphasizes automation, reusable design, and holistic ecosystem thinking. You will oversee service reliability, availability, security, and ease of use, manage vendor negotiations, and explain costs to the business. Ideal candidates possess a strong engineering background, a passion for solving problems from scratch, and experience managing complex project deliveries using agile or traditional methodologies.

Responsibilities

  • Lead engineering teams building and maintaining the analytics platform
  • Guide the growth of the analytics platform function and mentor senior engineers and other engineering leads
  • Shape multiple teams across the analytics platform to scale data and analytical capabilities
  • Oversee the operation and maintenance of cloud-based services and libraries with a focus on availability, security, and observability
  • Assess and reduce engineering load while finding efficient ways to manage the cloud platform
  • Handle vendor negotiations and communicate cost details to the business
  • Collaborate with product teams to support bringing ideas into production

Requirements

  • Solid software engineering background with extensive experience launching and maintaining production solutions
  • Experience leading engineering teams through project delivery using agile or traditional methodologies
  • Experience mentoring more junior leaders and staff-plus engineers
  • Knowledge of security and privacy principles applied at both the infrastructure and application levels
  • High coding standards with a strong understanding of test coverage best practices and the test pyramid concept
  • Experience deploying microservices to cloud-based systems
  • Experience designing distributed and concurrent systems, including tradeoffs between stateful, stateless, synchronous, and asynchronous architectures
  • Willingness to give and take regular feedback

Qualifications

  • Passion for technology and its connection to user experience and product
  • Experience with platform infrastructure such as AWS or other cloud ecosystems
  • Experience with Docker, Kubernetes, and running containerized workloads
  • Familiarity with data warehousing, data processing infrastructure, and business intelligence tooling
  • Knowledge of or interest in foreign exchange and payment platforms

Core Skills

Benefits

  • Starting salary between GBP 135,000 and 175,000 per year
  • Restricted Stock Units (RSUs)

Frequently Asked Questions

Answers are based only on the employer’s listing; where it doesn’t say, neither do we.

What is the salary range for this role?

The starting salary is between GBP 135,000 and 175,000 per year, plus RSUs.

Where is the position located?

The role is located in London.

What is the employment type?

The posting specifies full-time employment.

What should I do if I am interested in multiple roles?

If you are interested in multiple positions, the posting instructs you to apply for only the one you are most excited about.

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Posted by Wise

Source: Wise

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Posted by employer: Oct 27, 2026

Added to Jobsiz: Nov 3, 2026

The description was written by Jobsiz from the employer’s listing. Always check the original listing before applying.

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