Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Senior Data Engineer

IDEXX
London
6 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

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. As a senior engineer, 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.

You will serve as the go-to engineer for:

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, and 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 be 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 withclients and reduce workload stress. We are a premium software product and apart IDEXX’s Veterinary offerings. Pets and tech,it’s a winning combo! 

Within IDEXX we are a part of the IDEXX Veterinary Software portfolio. With a focus on software solutions, we are dedicated to enhancing 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.

A bit more about the role, you will:

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.

So what are we looking for?

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).

What you can expect from us:

Opportunity for annual bonuses

Medical Insurance

Cycle to work scheme

Work from home and wellbeing stipends

10% pension contribution

Ifyou’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!

Why IDEXX

We’re proud of the work we do, because our work matters. An innovation leader in every industry we serve, we follow our Purpose and Guiding Principles to help pet owners worldwide keep their companion animals healthy and happy, to ensure safe drinking water for billions, and to help farmers protect livestock and poultry from disease. We have customers in over 175 countries and a global workforce of over 10,000 talented people.

So, what does that mean for you? We enrich the livelihoods of our employees with a positive and respectful work culture that embraces challenges and encourages learning and discovery. At IDEXX, you will be supported by competitive compensation, incentives, and benefits while enjoying purposeful work that drives improvement.

Let’s pursue what matters together.

#LI-AA1 

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Neurodiversity in Machine Learning Careers: Turning Different Thinking into a Superpower

Machine learning is about more than just models & metrics. It’s about spotting patterns others miss, asking better questions, challenging assumptions & building systems that work reliably in the real world. That makes it a natural home for many neurodivergent people. If you live with ADHD, autism or dyslexia, you may have been told your brain is “too distracted”, “too literal” or “too disorganised” for a technical career. In reality, many of the traits that can make school or traditional offices hard are exactly the traits that make for excellent ML engineers, applied scientists & MLOps specialists. This guide is written for neurodivergent ML job seekers in the UK. We’ll explore: What neurodiversity means in a machine learning context How ADHD, autism & dyslexia strengths map to ML roles Practical workplace adjustments you can ask for under UK law How to talk about neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in ML – & how to turn “different thinking” into a genuine career advantage.

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.