Senior Data Engineer

Overview

IDEXX is looking for a Senior Data Engineer to join the Veterinary Software team in London! This is an exciting opportunity for a a data engineer looking to expand their technical leadership skills and make an impact in a meaningful industry.

This role will be hybrid 2 days onsite in our Wimbledon office, London.

As a Senior Data Engineer, you will lead data migration strategies and implementation across hybrid cloud environments (primarily AWS), enabling smooth and secure movement of legacy and modern systems. You’ll design, develop, and optimise scalable and efficient data pipelines integrating PHP, and C#-based applications using .NET framework backend services and React frontends. You’ll utilise tools such as Terraform for infrastructure-as-code (IaC), AWS (Lambda, EC2, EKS, Step Functions, VPC etc.)

for ETL, Airflow pipelines, Snowflake, and ensure architectural alignment with AI/ML initiatives and data-driven services.

• End-to-end data migration architecture (on-premise to cloud or cloud-to-cloud).
• Designing scalable and secure systems using AWS services like S3, Lambda, EKS, EC2, VPC, RDS.
• Interfacing with both legacy PHP/C# systems and modern .NET cloud-native services.
• We’re also looking for someone with some experience in AI to help us drive our AI data projects forward.

This role will support the ezyVet product, a cloud based Veterinary Practice Management Software. We provide easy to use Software that helps veterinary practices save time, increase revenue, communicate better with clients and reduce workload stress. We are a premium software product and a part IDEXX’s Veterinary offerings. Pets and tech, it’s a winning combo!

Within IDEXX we are a part of the IDEXX Veterinary Software portfolio, focused on software solutions that enhance the health and well-being of pets, people, and livestock around the world. Through the power of the cloud, our solutions simplify the flow of information across any practice and link vets to what they need when they need it. Patient data. Client communications.

Business insights. All at their fingertips. Our journey is solving veterinary practices’ most pressing needs by focusing on innovation to drive meaningful improvements in animal health.

• Lead migration of data assets from legacy systems to our cloud-native environments using AWS and our bespoke Conversion Framework.
• Build new and maintain existing bespoke systems.
• Implement .NET-based microservices with strong observability and integration with data platforms.
• Develop custom ETL pipelines using AWS, Python, and MySQL.
• Implement governance, lineage, and monitoring to ensure high availability and traceability.
• AI & Advanced Analytics Integration:
• Collaborate with AI/ML teams to enable model training pipelines with robust and reliable data access.
• Leverage metadata and structured data modeling to support AI model explainability and audit trails.
• Guide engineering teams on best practices for cloud-based data handling, Terraform, and secure service architecture.
• Coach junior developers and collaborate cross-functionally with product and platform teams.

• Bachelor's in Computer Science, Information Systems, or equivalent experience.
• 7+ years in software or data engineering, with strong recent experience in cloud data migrations.
• Proficient with MySQL, OOP, AWS (EC2, S3, Lambda).
• Experience with PHP, C#, .NET Core, React, Python, AWS EKS.
• Experience working on AI projects ideal!
• Strong knowledge of Git, CI/CD pipelines, and containerization (Docker/Kubernetes).
• Experience working in environments with AI/ML components or interest in learning data workflows for ML applications.
• Bonus if you have exposure to Kafka, Spark, or Flink.
• Experience with data compliance regulations (GDPR).

• Opportunity for annual bonuses
• Medical Insurance
• Cycle to work scheme
• Work from home and wellbeing stipends
• 10% pension contribution

If you’re looking for a role that’ll challenge you, offer a variety of work and learning, while helping an amazing industry, we’d love to hear from you!

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