Data Engineering Manager - Treasury Global Liquidity at Wise

London, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

07 Oct, 26

Salary

145000.0

Posted On

09 Jul, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Distributed Systems, Event-Driven Systems, Data Engineering, Technical Strategy, Mentoring, Stakeholder Management, Software Engineering, Architectural Design, Liquidity Management, Financial Modeling, Machine Learning, Real-time Data Processing

Industry

Financial Services

Description

Company Description Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed. Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money. As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere. More about our mission and what we offer. Job Description Job Description About the role We are looking for a passionate Senior Data Engineer to join the Treasury Global Liquidity team and help design the foundations of the real-time liquidity observability stack and core business functions served by the team. In this role, you will be responsible for delivering key initiatives, contributing to setting the technical strategy of the team, and ensuring we build robust and scalable systems while promoting a culture of innovation and continuous improvement. You will have a direct and measurable impact across multiple Wise products, owing to the core position of the team’s domain in ensuring our platform scales efficiently. How do we work? At Wise, we work in autonomous, cross-functional teams. As an Engineering Lead, you will work in a highly collaborative environment, partnering closely with Product Managers, Analysts, Data Scientists and key stakeholders in our Treasury and Finance teams. Together, you will define the strategy, shape the roadmap, and deliver impactful solutions that advance our mission. What will you be working on? Elevated Customer Experience: Lead the development of a reliable, real-time view of our liquidity for multiple products. Enable the transition of the customer experience from pre-determined restrictions and delays to an intelligent, dynamic model. Financial Strength and Resilience: Design and implement advanced monitoring systems to optimize financial resource management systems, directly contributing to operational efficiency gains. Strengthen our foundational scaling strategy, allowing us to operate with greater agility and confidence as we grow. Controlled and Intelligent Scalability: Engineer sophisticated, fine-grained control mechanisms to manage liquidity utilization effectively. Ensure the rapid processing of high-value transactions while maintaining robust, strategic controls to manage flow as needed. Automated Investment and Risk Management Tooling: Develop systems that automate the investment of surplus cash while adhering to strict risk and regulatory parameters. Collaborate with data scientists and help develop machine learning to forecast future cash inflows and outflows across all currencies and jurisdictions with high accuracy, enabling proactive and optimal cash positioning and minimizing idle balances. What do you need? We are seeking a proven Data Engineer who thrives on complexity. The ideal candidate combines architectural depth in distributed systems with a sharp commercial and product intuition, capable of navigating the intricate trade-offs between financial cost, operational risk, and customer experience. Qualifications: • You have a strong background in software engineering, with proven experience designing, building, and operating complex and reliable event-driven systems in a production environment. • You are comfortable working on a complex and high-stakes domain, such as treasury, payments, or finance, and can guide a team through its unique technical challenges. • You have a strong sense of ownership and the ability to think beyond technical implementation to understand how your team's work directly impacts business risk, cost, and customer satisfaction. • You have experience working closely with product and stakeholders to define requirements and prioritize the most impactful work. • You have demonstrable experience leading and mentoring engineers across diverse domains and levels. You possess the skills to guide towards a high-performing team that is collaborative, supportive, and passionate about achieving goals. • You lead by example, inspiring your team to produce high-quality, maintainable code and uphold high engineering standards. • You are an excellent communicator, capable of articulating complex technical concepts clearly to both technical and non-technical audiences. Interested? Find out more: How we work – a practical guide DEI @ Wise Wise Tech Stack (2025 update) See what it's like to work at Wise London! Our Engineering career map Wise Engineering – https://medium.com/wise-engineering What do we offer: Starting salary: £115k - £145k + RSUs Wise Benefits #LI-AB3 #LI-Hybrid Additional Information For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. We're proud to have a truly international team, and we celebrate our differences. Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers. If you want to find out more about what it's like to work at Wise visit Wise.Jobs. Keep up to date with life at Wise by following us on LinkedIn and Instagram. Compensation: GBP 111000 - GBP 145000 - yearly

Responsibilities

Lead the design and implementation of a real-time liquidity observability stack and core business functions for Treasury Global Liquidity. You will drive technical strategy, automate investment tooling, and collaborate with cross-functional teams to optimize financial resource management.