tuning and troubleshooting in complex environments. Data Systems Knowledge: Exposure to working in data-centric environments, supporting ETL/ELT pipelines or data processing services. Familiarity with SQL and NoSQL databases. Understanding of data privacy and security concepts. Tooling & Infrastructure: Experience with CI/CD pipelines, containerization (Docker/Kubernetes), and version control systems (e.g., Git). Ways of Working More ❯
Part Ground Floor North Wing A 100 Brook Dr Park, Reading, England
JUST I.T. TRAINING LIMITED
Key Skills and Attributes Strong interest in software development, automation and cloud technologies Understanding of programming languages such as Java, C++, Python or JavaScript Awareness of databases (SQL or NoSQL) and data structures Familiarity with version control and CI/CD processes such as Git, Jenkins or Azure DevOps Analytical and problem-solving skills with strong attention to detail Good More ❯
delivery of network automation to the business. Our client has a newly defined automation framework, and to support this have implemented a Kubernetes, Message Broker, CI/CD pipeline, NoSQL database and log management/analytics solution. This is an initial 6 month contract opportunity Inside IR35 with the prospect of extension. You will be required to be on site More ❯
data pipelines using NiFi and related big data technologies. Troubleshoot and optimize NiFi flows, including performance tuning, error resolution, and flow control. Integrate NiFi with cloud platforms, databases (SQL & NoSQL), APIs, and third-party systems. Ensure compliance with regulatory and security requirements across data storage, transfer, and access layers. Support data migration efforts and implement disaster recovery protocols. Continuously monitor … with C# and Scala is a plus. Experience with ETL tools and big data platforms. Knowledge of data modeling, replication, and query optimization. Hands-on experience with SQL and NoSQL databases is desirable. Familiarity with data warehousing solutions (e.g., Snowflake, Redshift, BigQuery) would be beneficial. Data Platform Management: Comfortable operating in hybrid environments (cloud and on-prem). Experience integrating More ❯
