Shape the Future of Service Excellence with Ten!
Driving Innovation. Building Trust. Redefining Service Excellence.
Ten is on a mission to become the most trusted service business in the world. We service the most valuable customers of the world’s leading private banks, premium financial services and luxury brands globally including HSBC, Bank of America, and Swisscard. Corporate clients use Ten’s services to acquire, engage and retain affluent, high net worth customers or valued employees. The service drives critical customer metrics, including revenue growth, net promoter score, and supports digital transformation initiatives.
Millions of individuals worldwide have access to Ten's services across lifestyle, travel, dining and entertainment. They rely on Ten to unlock seamless, curated experiences that enrich their lives.
We’re profitable, ambitious, and scaling fast. As the first B Corp listed on the London Stock Exchange, we’re setting the standard for sustainable growth and technology, AI driven innovation.
For more information, check out our
Requirements
We are looking for a Lead Data Engineer who will also act as the senior technical lead for our Cape Town office. This is a highly influential, hands-on leadership role responsible not only for the data platform, but for shaping how data is designed, governed, and used across all backend systems.
You will own the end-to-end data engineering strategy while formally contributing to backend architectural principles, data-driven system design, and engineering standards across teams. You will work deeply with Product, Analytics, and Engineering leadership to evolve data into a first-class product and to raise engineering maturity across the organisation.
Key responsibilities
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Provide technical leadership, architectural direction, and mentorship across data engineering, backend engineering, and analytics teams, acting as the senior technical lead in the Cape Town office.Contribute to and drive engineering standards, backend architecture, event-driven design, data contracts and data platform best practices.Own and evolve the strategic roadmap for the data platform, ensuring alignment with business priorities.Design for scalability, reliability, performance, and cost efficiency across the data ecosystem.Design, build, and review robust data pipelines to ingest, normalise, and model data from multiple sources into a central analytical store.Implement and uphold data quality checks, documentation, and governance standards.Design and build APIs and data delivery solutions to enable access to reports and insights, in close partnership with Data Analysts.Drive improvements in data access patterns, query efficiency, and database usage in collaboration with Engineering teams.Build APIs and data delivery solutions for ingesting data into databases, including ownership of data feeds and data fixes, partnering with Client Services and Engineering.Model the impact of potential roadmap initiatives to support prioritisation and decision making.Design, build, and operate scalable data infrastructure in AWS or an equivalent cloud environment.Apply modern software engineering and Dev Ops best practices, including CI/CD, infrastructure as code, monitoring, and automation.Supervisory responsibilities:
Direct line management of Data Engineers (currently 2, with expected growth over time).Indirect mentorship and technical leadership of backend engineers and data analysts across teams.Active involvement in defining career progression frameworks, technical expectations, and performance development for engineering roles.Requirements
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Extensive hands-on experience in data engineering, including data modelling, pipeline design, API design and data platform architecture.Proven experience operating as a senior technical leader (Lead, Staff, or Principal level), influencing architecture and standards across multiple teams.Hands on experience with cloud based data infrastructure, ideally AWS.Solid understanding of data governance, data quality, and documentation best practices.Practical experience with modern data technologies such as Spark, Snowflake, dbt, and orchestration tools (…
