2 of 2 Remote Data Lake Jobs in the City of Westminster

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. … 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 … 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 More ❯

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. … 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 … 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 More ❯