Senior Data Engineer
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Tech stack
Job description
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 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 client s and reduce workload stress. We are a premium software product and a par t 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?
Requirements
Do you have experience in Terraform?, Do you have a Bachelor's degree?, 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 e xposure to Kafka, Spark, or Flink .
Experience with data compliance regulations (GDPR).