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, CI/CD pipelines, GitHub, and automated testing.
Practical experience monitoring live services using tools such as Grafana, Prometheus, or New Relic.
This is an excellent opportunity to play a key role in shaping innovative data solutions within a forward-thinking organisation.
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