Analytics & Data Engineering Team Lead

Proxymity does not discriminate on the basis of race, colour, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, marital status, or based on an individual’s status in any group or class protected by applicable federal, state or local law. Proxymity encourages application from minorities, women, the disabled, protected veterans and all other qualified applicants.

About Proxymity

Proxymity is a market leading digital investor communications platform focused on providing regulatory compliant products focused initially on Proxy Voting and Shareholder Disclosure services. Founded in London and spun out of Citi, from the very beginning our mission focused on benefitting the whole capital markets ecosystem, rather than just one part or one player within it. This ethos is endorsed by investment from global consortium of some the industry’s most influential financial institutions.

About Us - Proxymity

Proxymity’s service offering is now a Global one, matching the needs of our custodian and broker community respectively. This is reflected by a fast-growing client base who have long desired an improved service by a trusted vendor. As a result, we are a fast-growth company and have already gone from 10 - 200+ employees in the last four years with a global footprint in London, Manchester, New York, Tel-Aviv, Melbourne, and Malasiya.

The role

Proxymity is looking for an experienced Engineering Team Lead to help drive the delivery of our next generation data infrastructure and monetise Proxymity’s unique data universe.

As the Analytics & Data Engineering Team Lead, you will guide a team of Data Engineers and Data Analysts, providing technical leadership, fostering collaboration, and ensuring timely delivery of key projects. You will also offer clear technical direction that aligns with Proxymity’s long-term data infrastructure strategy.

Working closely with our Product team, the Analytics & Data Engineering Team Lead will also help shape the Analytics and Reporting roadmap and identify technologies and techniques to improve how we deliver initiatives and insights effectively.

You will collaborate with other Engineering Team Leads and Engineering Directors to contribute to Proxymity’s broader technical strategy and ensure alignment across teams. This role requires hands-on experience in AWS-based data infrastructure and modern data modelling tools, as well as the ability to engage in detailed technical discussions with engineers across different teams.

• 5+ years experience as Analytics & Data Engineering Team Lead or similar role that encompasses leadership of both data engineering and data analytics teams.
• Strong collaboration and problem-solving skills; Can form effective, supportive relationships with colleagues across the business and demonstrates a “problem solving” rather than a “problem watching” approach to challenges.
• Experience in managing predictable delivery through effective forward planning, ensuring initiatives meet expected timelines while managing risks.
• Technical leadership experience; able to clearly articulate technical decisions to other directors and engineers across the business.
• Passionate about developing people; Invest their own time into the personal development of their team members and cares deeply about the continual improvement of their team’s productivity and capabilities.
• Proficiency in AWS-based data solutions, including pipelines and data warehouses/lakes. Experience with DBT or similar data modelling tools and strong SQL skills, including query optimization.
• Broad experience of data analytics and reporting platforms for a large and diverse user base; Experience of Looker, Power BI or Tableau as well as experience of developing a self-service reporting solution.
• Has hands on experience of a modern programming language (Python, Java, etc.).