The role Remote£550 Inside ir35 6 Months contract Key Skills needed - Design / implementing Unix /Linux system and services open-source solutions and performance tuning.- HPC technologies: Lustre, Slurm- Configuration systems such as Ansible and Terraform- Unix /Linux scripting.- Networking: TCP / IP, DHCP, VLANs, spanning tree protocol, link aggregation for performance (MTU … settings) and reliability requirements.- Linux administration skills, including Bash scripting, ACL, users, groups, filesystems, packages management, common demons (SSH-Servers, NTP, SSSD, Apache, Ngnix, HAproxy, MySQL, PostgreSQL), etcDesirable CriteriaAs with the essential skillset the below list is desirable for the right candidate to know about an be proficient about a few of these:- Python and Perl- Singularity /More ❯
Required: Bachelor's degree in Computer Science, Software Engineering, Data Science, or a closely related field. Advantageous: Certifications or substantial hands-on experience with modern data pipeline tools (e.g., Apache Airflow, Spark, Kafka, dbt, or similar). Desirable: Familiarity with financial services regulatory frameworks (e.g., MiFID II, GDPR, SOX) and best practices for data governance Required Knowledge and Level of … Hands-on experience with Java (Spring Boot), React, and Python, covering backend, frontend, and data engineering. Data Engineering Tools: Proficient with modern data engineering and analytics platforms (e.g., Apache Airflow, Spark, Kafka, dbt, Snowflake, or similar). DevOps & Cloud: Experience with containerisation (Docker, Kubernetes), CI / CD pipelines, and cloud platforms (e.g., AWS, Azure, GCP) is highly desirable … for data engineering and analytics. DevOps: Skilled in building, deploying, and maintaining containerised applications using Docker and Kubernetes; experience with infrastructure as code (e.g., Terraform, Helm) is a plus. Linux: Solid understanding of Linux systems administration and scripting. Testing: Commitment to automated testing (unit, integration, end-to-end) and quality assurance throughout the software delivery lifecycle. Monitoring & Observability: Familiarity with More ❯
