4 of 4 Permanent Data Pipeline Jobs in Kent

Location: Worcester Duration: 6 month initial contract Rate: (Outside IR35) Security: Active DV clearance required Role details: We are looking for 3 x Data Engineers to join our defence & security client on a contract basis. You will helpdesign, develop, and maintain secure and scalable data pipelines using the Elastic Stack (Elasticsearch, Logstash, Kibana) and Apache NiFi … These roles are supporting our clients team in Worcester (fully onsite), and requires active UK DV clearance. Key Responsibilities: Design, develop, and maintain secure and scalable data pipelines using the Elastic Stack (Elasticsearch, Logstash, Kibana) and Apache NiFi Implement data ingestion, transformation, and integration processes, ensuring data quality and security Collaborate with data … cross-functional teams. Detail-oriented with a focus on ensuring data accuracy, quality, and security. Proactive problem-solving mindset and ability to troubleshoot complex data pipeline issues Desirable skills: Experience working in government, defence, or highly regulated industries with knowledge of relevant standards. Experience with additional data processing and ETL tools like Apache More ❯

Location: Worcester Duration: 6 month initial contract Rate: (Outside IR35) Security: Active DV clearance required Role details: We are looking for 3 x Data Engineers to join our defence & security client on a contract basis. You will helpdesign, develop, and maintain secure and scalable data pipelines using the Elastic Stack (Elasticsearch, Logstash, Kibana) and Apache NiFi … These roles are supporting our clients team in Worcester (fully onsite), and requires active UK DV clearance. Key Responsibilities: Design, develop, and maintain secure and scalable data pipelines using the Elastic Stack (Elasticsearch, Logstash, Kibana) and Apache NiFi Implement data ingestion, transformation, and integration processes, ensuring data quality and security Collaborate with data … cross-functional teams. Detail-oriented with a focus on ensuring data accuracy, quality, and security. Proactive problem-solving mindset and ability to troubleshoot complex data pipeline issues Desirable skills: Experience working in government, defence, or highly regulated industries with knowledge of relevant standards. Experience with additional data processing and ETL tools like Apache More ❯

Our client, a leading business in the Financial Services industry is seeking a Graduate Data Scientist to join their team on a full-time, permanent basis. Due to growth our client is looking to expand their team, adding a candidate with a minimum of a 2:1 degree in Computer Science (or relevant Data Science/… AI degree) as a Graduate Data Scientist. The ideal candidate will proactive, keen to learn and have a fundamental understanding of programming languages whilst being an analytical thinker. Key Responsibilities: Work alongside the rest of the data team to build clean and robust data pipelines Develop and test machine learning models to assist in … making business decisions Carry out adhoc data requests when required Organise the data and model outputs in a format that is readable and understandable for presentation to senior management Key Experience: Strong academic background with a minimum 2:1 Degree in Computer Science (or similar) Strong numerical background with a knowledge of key statistical principles – eg More ❯

Do: Develop responsive and intuitive front-end interfaces using Blazor/Razor Components Translate UX designs and wireframes into performant, user-friendly features Build and integrate APIs and data pipelines across mobile and desktop environments Contribute to a platform-wide adoption of AI-enhanced development (e.g. automated testing, design audits) Support scalable cloud architecture using Docker, Kubernetes, and … DevSecOps workflows (GitHub, CI/CD, automated testing) Experience in the enterprise infrastructure, construction, or engineering sectors is highly desirable, especially where digital workflows, field operations, or geospatial data have played a role. Bonus Points For: Exposure to event streaming platforms (e.g. Kafka, SQS, EventHub) Familiarity with SQL/NoSQL, CosmosDB, or Kusto (KQL) Knowledge of IoT protocols More ❯