Senior Data Engineer

Job Description

JAN 2026 Senior Data Engineer – Data Platform Department Product & Engineering Line Manager Head of Data and AI Location UK Remote Contract Type Permanent Worker Type Individual Contributor Job Grade / Level (Skills Matrix) P4 Bonus MBO Travel Requirements Ad Hoc Travel Requirements cont. UK Estimated Annual Mileage (if applicable) N/A Job Description How you’ll make an impact As our Senior Data Engineer, you will design, build, and own the core business data platforms and pipelines that enable analytics, reporting, and future AI/ML workloads across HSO and business units such as Dentally. You will play a strategically important role in establishing best practice data engineering foundations and embed a scalable architecture, trusted data models, robust data quality, and secure access to our healthcare data. You will work on meaningful problems that will have a high visibility and a direct impact on enabling the company strategy, product innovation, automation, and commercial outcomes. What you'll do • Design and implement a modern, cloud‑native data platform on AWS, with Redshift and dbt at its core • Build scalable, reliable data ingestion and transformation pipelines from operational, product, and commercial systems, with best gold standard data models and metrics that support commercial, customer, operational, and product analytics use cases. • Deliver trusted datasets that power core reporting, dashboards, and self‑serve analytics across the business. • Partner across Data, Product, Engineering, Commercial, Operational and Finance teams to ensure data models align with real business value drivers. • Ensure data platforms are extensible to support more advanced use cases (e.g. streaming data, advanced analytics, future machine learning and AI workloads). • Collaborate with the Head of Data & AI to support emerging MLOps and AI data pipeline needs over time. • Work with the Head of Data and AI, to define and implement best practices for data quality, testing, monitoring, and documentation using modern frameworks (e.g. dbt tests, data contracts, SLAs). • Build secure, compliant data access patterns appropriate for healthcare and regulated environments, including data minimisation, hashing, tokenisation, and role‑based access. • Own operational excellence (reliable, performant, scalable, cost aware and observable) for data ingestion and transformation pipelines. • Act as a senior technical contributor and role model within the data function. • Support knowledge‑sharing and mentoring as the team expands. What you’ll bring with you • Proven experience building data platforms and pipelines from the ground up in a modern cloud environment (AWS, Azure, GCP, Redshift, Databricks, Snowflake, dbt, etc.). • Strong data engineering fundamentals, including data modelling, ETL/ELT design, performance optimisation, governance, and reliability. • Experience scaling data systems as usage, data volume, and organisational demand grow. • Experience working in healthcare or highly regulated environments is desirable. • Hands on experience with AWS data services. • Strong experience with cloud data warehouses, ideally Amazon Redshift and/or Snowflake, Databricks. • Production experience using dbt for data transformations, testing, and documentation. • Solid SQL expertise and proficiency in at least one general purpose programming language (e.g. Python). • Experience implementing data quality frameworks, data contracts, data access frameworks, and SLAs. • Understanding of data security, privacy, and compliance considerations. • Exposure to, or strong interest in, ML/AI data pipelines (Sagemaker, Bedrock) and MLOps concepts. • Comfortable operating in ambiguity and autonomous enough to make pragmatic decisions in a greenfield environment that align to data principles. • Can focus on delivering value fast and value enablement • Strong stakeholder communication skills, with the ability to translate technical concepts into business impact. • A mindset focused on building pragmatic, sustainable, well governed systems rather than ad-hoc solutions and workarounds. • Is curious, comfortable with ownership, and brings a continuous learner and improvement mindset. Diversity at Henry Schein One Diversity at Henry Schein One is all about you being you. Diversity and inclusion are integral to every aspect of our business, we push boundaries fuelled by a diverse set of voices and a desire to make a difference. We are proud to be an equal-opportunity employer. All qualified candidates are considered without regard to race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, or age. We welcome everyone to our team; we foster creativity and ambition throughout our business. We’re making a difference every day and you can too. Our Shared Values Everyone at Henry Schein One is encouraged to live and demonstrate our core values: Community • Each Person is as Important as the Next • Open Communication • Diversity & Inclusion Caring • Corporate Citizenship • People are our Greatest Asset Career • Ethics • Recognise Creativity & Encourage it

Henry Schein is committed to the principle of equal opportunities in employment in all spheres of its operation. Henry Schein UK Holdings strives to operate a policy of equal opportunity and not discriminate against any person gender, race, colour, nationality, ethnic or national origin, religion, sexual orientation, marital status, disability, age or any other characteristic protected by law.