JOB DESCRIPTION
At Zimmer Biomet, we believe in pushing the boundaries of innovation and driving our mission forward. As a global medical technology leader for nearly 100 years, a patient’s mobility is enhanced by a Zimmer Biomet product or technology every 8 seconds.
As a Zimmer Biomet team member, you will share in our commitment to providing mobility and renewed life to people around the world. To support our talent team, we focus on development opportunities, robust employee resource groups (ERGs), a flexible working environment, location specific competitive total rewards, wellness incentives and a culture of recognition and performance awards. We are committed to creating an environment where every team member feels included, respected, empowered, and recognized.
What You Can Expect
The Senior Data Platform Engineer will be responsible for the development of data platforms which serve the needs of our development teams and data products that improve the quality-of-care and quality-of-life of Orthopaedic patients worldwide. The Connected Health AI and Data Science Team’s existing platform is evolving from batch processing to cater for real-time and Generative AI solutions, the Data Platform Engineer will play a critical role in driving the growth and adoption of this platform.
How You'll Create Impact
Work closely with machine learning scientists and engineers to develop data serving platforms and platforms that power products on Microsoft Azure that process both real-time and batch data from diverse sources; Integration of third-party platforms and software to build a platform for the efficient onboarding and manipulation of data; Continuously identify areas for system improvements, focussing on enhacing both backend efficiency and user experience; Develop re-usable architectures and infrastructure via Infrastructure as Code for use in current and future products; Fulfilling regulatory commitments through the use of automation; Contribute to the shaping of the technological roadmap to help progress the Connected Health team;
What Makes You Stand Out
Proficiency in the following tools:
Python for developing data pipelines; Apache Spark for the ingestion and transformation of data; SQL databases; Data stores such as Azure Blob Storage, Azure Data Lake, S3, Azure Cosmos DB; Infrastructure as code tooling such as Terraform, Pulumi, Bicep; Git and CI/CD pipeline tooling;
Your Background
Experience/competency in the following areas:
Strong communication skills as this position works as part of a cross-disciplinary product team; Programming with Python and packages associated with the data engineering workflow; Awareness of machine learning techniques and their applications; Apache Spark and Apache Airflow for ETL pipelines; Developing applications to run on the cloud in a cloud-native way; Data pipeline, application and infrastructure monitoring with tools such as NewRelic; Familiarity with infrastructure concepts such as virtual machines and networking; Communicating analyses, technical ideas, and their value to a range of audiences; Ability to learn new technologies and methodologies;
Some experience in one of the following areas is beneficial, but not essential:
Data quality monitoring Working with healthcare data; Working with and deploying applications to Kubernetes, Managed Container Environments; Working with Azure data tools such as Synapse or Fabric; Delivering software and/or artificial intelligence/machine learning in regulated spaces;
Travel Expectations
This role is home-based and the team embraces a culture of remote-first. The team regularly meets once every fortnight in Central London, but individuals can decide in-conjunction with the rest of their team whether to meet others in the team more or less regularly depending on their circumstances.
This role works closely with team members based in the U.S. therefore, occasional evening meetings will be required. There also may be occasional travel to the U.S. for internal meetings, and also travel in UK/Europe to meet with customers.
EOE/M/F/Vet/Disability
