Senior Data Engineer

An opportunity has arisen for a Senior Data Engineer to join a well-established biotech company using large-scale genetic data and AI to predict disease risk and advance precision healthcare.

As a Senior Data Engineer, you will be responsible for developing, automating, and optimising scalable data pipelines using modern cloud technologies.

This is a 6-12 month contract based role with hybrid / remote working options offering a salary of £500 - £650 per day (Inside IR35) and benefits.

You Will Be Responsible For:

? Designing and implementing cloud-based data architectures using Azure services.
? Building robust and scalable data pipelines to support complex, high-volume processing.
? Deploying and managing containerised workloads through Kubernetes, Helm, and Docker.
? Automating infrastructure using Infrastructure-as-Code tools such as Terraform and Ansible.
? Ensuring system reliability through observability, monitoring, and proactive issue resolution.
? Collaborating with cross-functional teams to align data solutions with wider business needs.
? Supporting the continuous improvement of processes, deployment, and data quality standards.


What We Are Looking For:

? Previously worked as a Senior Data Engineer, Data Engineer, Data Platform Engineer, Data Architect, Data Infrastructure Engineer, Cloud Data Engineer, DataOps Engineer, Data Pipeline Engineer, Devops Engineer or in a similar role.
? Proven experience with Azure cloud platforms and related architecture.
? Highly skilled in Python for data engineering, scripting, and automation.
? Strong working knowledge of Kubernetes, Docker, and cloud-native data ecosystems.
? Demonstrable experience with Infrastructure as Code tools (Terraform, Ansible).
? Hands-on experience with PostgreSQL and familiarity with lakehouse technologies (e.g.

Apache Parquet, Delta Tables).
? Exposure to Spark, Databricks, and data lake/lakehouse environments.
? Understanding of Agile development methods