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Salary
$54k – $67k per year
Location
Hybrid (London, United Kingdom)
Seniority
Middle · 3+ years exp
Visa
Licensed UK visa sponsor
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 22, 2026. First seen by Alion on Aug 11, 2026. IDEXX Laboratories scores A on the Alion truth index.

Overview
Company
Impact
Profile match
IDEXX Laboratories is a multinational corporation headquartered in Westbrook, Maine, and was founded in 1983. The company develops, manufactures, and distributes diagnostic products, equipment, and software for the veterinary, livestock, poultry, and dairy markets, as well as testing solutions for water quality. It operates globally through a network of reference laboratories and sales offices, serving customers in over 175 countries and maintaining a listing on the NASDAQ Stock Market.

As an Intermediate Data Engineer within our IDEXX Veterinary Software portfolio, you will help drive the modernization of our data ecosystem by leading data migration initiatives and building scalable cloud-based solutions. This is an exciting opportunity for a data engineer looking to expand their technical leadership skills while making an impact in a meaningful industry. This role is based in London with a hybrid schedule of 2 days per week in our Wimbledon office.

Why this role matters:

Veterinary practices depend on reliable, accessible data to deliver exceptional care and operate efficiently. In this role, you will help modernize how critical data is migrated, managed, and leveraged across our cloud platforms. Your work will support the continued evolution of ezyVet and help enable future AI-driven capabilities, ensuring veterinary teams have access to secure, scalable, and reliable data solutions.

In this role:

  • You will lead the migration of data assets from legacy systems into cloud-native environments using AWS and our bespoke Conversion Framework.
  • You will design, develop, and optimize scalable data pipelines across hybrid cloud environments.
  • You will build new systems and enhance existing applications that support data migration and platform growth.
  • You will implement .NET-based microservices with strong observability and integration into broader data platforms.
  • You will develop custom ETL pipelines using AWS services, Python, and MySQL.
  • You will design scalable and secure cloud architectures leveraging AWS services including S3, Lambda, EKS, EC2, VPC, and RDS.
  • You will integrate and support both legacy PHP/C# applications and modern cloud-native .NET services.
  • You will implement governance, lineage, monitoring, and observability practices to ensure data quality, traceability, and reliability.
  • You will collaborate with AI and machine learning teams to enable reliable data access for model training and advanced analytics initiatives.
  • You will leverage metadata and structured data models to support AI explainability, auditability, and long-term platform scalability.
  • You will guide engineering teams on best practices for cloud-based data handling, Terraform, infrastructure-as-code, and secure system architecture.
  • You will coach junior developers and collaborate closely with product, platform, and engineering teams to deliver high-quality solutions.

What you need to succeed:

  • Bachelor's degree in Computer Science, Information Systems, or equivalent experience
  • 3+ years of experience in software engineering, data engineering, or related fields, including recent experience supporting cloud data migration initiatives
  • Strong experience with AWS services including EC2, S3, and Lambda
  • Strong proficiency with MySQL and object-oriented programming principles
  • Experience developing with PHP, C#, .NET Core, React, and Python
  • Experience working with AWS EKS and cloud-native architectures
  • Experience designing and implementing ETL pipelines and data integration solutions
  • Strong understanding of Git, CI/CD pipelines, and containerized environments such as Docker and Kubernetes
  • Experience leading or contributing to cloud migration projects involving legacy and modern systems
  • Experience working on AI-related projects or supporting AI/ML data workflows
  • Knowledge of data governance, monitoring, and observability best practices
  • Experience working with data compliance regulations, including GDPR
  • Familiarity with technologies such as Kafka, Spark, or Flink
  • Strong communication skills and the ability to collaborate effectively across technical and non-technical teams
  • Demonstrated ability to mentor others and contribute technical leadership within engineering teams

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
  • Salary range of £40,000-£50,000
  • Hybrid working model
  • Opportunities for ongoing learning, development, and career growth

Why IDEXX:

We’re proud of the work we do, because our work matters. An innovation leader in every industry we serve since 1983, our team members help pet owners worldwide keep their companion animals healthy and happy, ensure safe drinking water for billions, and help farmers protect livestock and poultry from disease.

We have customers in over 175 countries and a collaborative global workforce. Our culture is one that embraces challenges and encourages learning and discovery. At IDEXX, you’ll be supported by competitive compensation, incentives, and benefits while enjoying purposeful work that drives improvement.

Knowing our work makes a meaningful impact on the health and well-being of pets and people is what motivates us every day. If meaningful work and a sense of purpose are at the top of your list, you’ll find it here.

Let’s pursue what matters together.

IDEXX values a diverse workforce and workplace and strongly encourages women, people of color, LGBTQ+ individuals, people with disabilities, members of ethnic minorities, foreign-born residents, and veterans to apply.

IDEXX is an equal opportunity employer. Applicants will not be discriminated against because of race, color, creed, sex, sexual orientation, gender identity or expression, age, religion, national origin, citizenship status, disability, ancestry, marital status, veteran status, medical condition, or any protected category prohibited by local, state, or federal laws.

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