Saffron Walden, Essex, South East, United Kingdom Hybrid / WFH Options
EMBL-EBI
frameworks such as Angular, React) Cloud (GCP or AWS) and popular cloud Big Data tools - BigQuery, Dataflow, Looker Containerisation (Docker or similar) and orchestration (k8s) Experience of processing biological archive data Tests and CI/CD Apply now! Benefits and Contract Information Financial incentives: depending on circumstances, monthly family/ more »
Saffron Walden, Essex, South East, United Kingdom Hybrid / WFH Options
EMBL-EBI
Experience with NoSQL databases, such as MongoDB Experience with batch scheduling systems such as SLURM Experience with containerisation (e.g. Docker) and container orchestration (e.g. Kubernetes) Infrastructure-as-code deployment tools such as Ansible or Terraform Experience working in an academic environment Apply now! Benefits and Contract Information Financial incentives: depending more »
Saffron Walden, Essex, South East, United Kingdom Hybrid / WFH Options
EMBL-EBI
maximum speed and scalability Ensure all code is clear, concise, well-documented, tested, and stored in a version control system, dockerized, and deployed in Kubernetes using continuous integration (GitLab) You have A degree in computer science, software development, or a related field Several years professional experience involving front end development … in SQL databases such as Oracle, PostgreSQL, and MySQL Experience working with CI/CD environments, particularly GitLab Familiarity with Docker and/or Kubernetes You might also have A higher degree and/or relevant post-graduate experience Knowledge of message brokers such as Kafka, RabbitMQ, and SQS Interest more »
Job Title: Azure Data Engineer (Contract) Duration: 3 months Rate: £400 per day Location: Remote Skills: Databricks/Azure Data Lake/Kubernetes IR35 Determination: Outside IR35 Company Overview: We are seeking a skilled and experienced Azure Data Engineer to join our team on a contract basis. This is an … and maintain data pipelines, ETL processes, and data warehouses on Azure, leveraging technologies such as Azure Data Factory. Implement and optimize data solutions using Kubernetes for container orchestration. Collaborate with data scientists and analysts to integrate advanced analytics and machine learning models into data workflows. Ensure data security, compliance, and more »
