Job Opportunities API

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  Welcome to Ten video!     We are looking for a Data Engineer to be responsible for building a robust, scalable, and high-quality data foundation that enables analytics, reporting, and product decision-making across the organisation.  In this role, you will design, implement, and maintain the end-to-end data infrastructure, from ingestion to modelling to delivery, ensuring that data is accurate, accessible, and optimised for business use. A core part of the role is partnering with cross-functional teams including Data Analysts, Engineering, and Client Services to translate business needs into technical solutions.  Key responsibilities  1. Data Quality, Governance & Documentation  Establish and maintain data quality checks, validation processes, and governance standards.  Ensure consistent documentation across data sources, pipelines, and models.  2. Data Pipeline Development & Modelling  Build scalable pipelines that ingest, normalise, and transform data from multiple internal systems into a unified, central data store.  Develop clean, well-structured data models ready for analysis and reporting.  3. Data Access & Delivery (APIs & Feeds)  Build APIs and data delivery mechanisms that provide fast, reliable access to analytics, insights, and reports.  Partner with Data Analysts to ensure data is easily consumable for reporting and decision-making.  Develop ingestion APIs and solutions for importing external or client data into databases.  Own and maintain Data Feeds, ensuring timely fixes and high reliability.  4. Performance & Database Optimisation  Improve data accessibility, query performance, and database efficiency.  Work closely with Engineering to align on best practices and architectural improvements.  5. Impact & Roadmap Support  Model and analyse the impact of potential product or engineering roadmap items to support prioritisation and decision-making.  6. Scalable Infrastructure & DevOps  Design and operate modern, scalable data infrastructure in AWS (or an equivalent cloud platform).  Apply software engineering and DevOps best practices including CI/CD, infrastructure-as-code, monitoring, and automation.  7. Our Tech Stack SQL Python, AWS (Lambda, ECS), Airflow Snowflake MS SQL Server, PostgreSQL GitHub, Jira Requirements What we need from you: Bachelor's degree in computer science, software or computer engineering or a related field.   Minimum 5 years’ experience building data pipelines using Python – coding experience is essential  Experience working with AWS specifically Lambda, ECS Knowledge and experience using Airflo