Senior Data Engineer

Additional Resources; United Kingdom; Hybrid; GBP 60,000 - 80,000; Full time

Job summary

A leading biotech company in the United Kingdom is seeking a Senior Data Engineer to develop and optimize data pipelines using cloud technologies. The role offers hybrid working options and a daily rate of £500-£650. Candidates should have strong skills in Azure, Python, and containerization tools like Kubernetes and Docker, along with a collaborative approach to data solutions.

Qualifications

• Experience as a Senior Data Engineer or similar role.
• Proven experience with Azure cloud platforms.
• Skilled in Python for data engineering.

Responsibilities

• Design cloud-based data architectures using Azure services.
• Build scalable data pipelines for processing.
• Deploy and manage containerized workloads.

Skills

Azure cloud platforms

Python

Kubernetes

Docker

Terraform

Ansible

PostgreSQL

Spark

CI/CD pipelines

GitHub

Job description

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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