National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Senior Data Engineer

IDEXX
London
1 month ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer - Azure - Leeds

Senior Data Engineer - Snowflake - £100,000 - London - Hybrid

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 

National AI Awards 2025

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.

Machine Learning Jobs UK 2025: 50 Companies Hiring Now

Bookmark this page—we refresh the Hotlist every quarter so you always know who’s really scaling their ML teams. The UK’s National AI Strategy, a £2 billion GenAI accelerator fund and a record flow of private capital have kicked ML hiring into overdrive for 2025. Whether you build production‑grade LLM services or optimise on‑device models for edge hardware, employers need your skills now. Below you’ll find 50 organisations that advertised UK‑based machine‑learning vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the type of employer—and mission—that excites you. For each company we list: Main UK hub Example live or recent vacancy Why it’s worth a look (stack, impact, culture) Search any employer on MachineLearningJobs.co.uk to see real‑time adverts, or set a free alert so fresh openings drop straight in your inbox.

Return-to-Work Pathways: Relaunch Your Machine Learning Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.

LinkedIn Profile Checklist for Machine Learning Jobs: 10 Tweaks to Drive Recruiter Interest

The machine learning landscape is rapidly evolving, with demand soaring for experts in modelling, algorithm tuning and data-driven insights. Recruiters hunt for candidates proficient in Python, TensorFlow, PyTorch and MLOps processes. A generic profile simply won’t cut it. Our step-by-step LinkedIn for machine learning jobs checklist covers 10 targeted tweaks to ensure your profile ranks in searches and communicates your technical impact. Whether launching your ML career or seeking leadership roles, these optimisations will sharpen your professional narrative and boost recruiter engagement.