2 of 2 Change Data Capture Jobs in Northern Ireland

a legacy that you can feel proud of.Join us and discover how our people write our story. MAIN PURPOSE OF THE ROLE & RESPONSIBILITIES IN THE BUSINESS: As a Senior Data Engineer (Senior Associate) at Kainos, you will be responsible or designing and developing data processing and data persistence software components for solutions which handle data at … scale. Working in agile teams, Senior Data Engineers provide strong development leadership and take responsibility for significant technical components of data systems. You will work within a multi-skilled agile team to design and develop large-scale data processing software to meet user needs in demanding production environments. Your responsibilities will include: Working to develop data … Experience of data visualisation and complex data transformations Experience with steaming and event-processing architectures including technologies such as Kafka and change-data-capture (CDC) products Expertise in continuous improvement and sharing input on data best practice So what are you waiting for? Let’s write the next incredible chapter of our story together. More ❯

you can feel proud of. Join us and discover how our people write our story. MAIN PURPOSE OF THE ROLE & RESPONSIBILITIES IN THE BUSINESS: As a Principal Architect for Data & AI in Kainos, you’ll be accountable for successful delivery of contemporary data/AI solutions across multiple customers. You’ll have gravitas within the data/… ll do this whilst advising about new technologies and approaches, with room to learn, develop, and grow. MINIMUM (ESSENTIAL) REQUIREMENTS Broad knowledge of a spectrum of current and emerging data and AI technologies, and able to communicate clearly and influence C-level stakeholders (such as IOT, edge processing, event driven data architectures, serverless processing, file system, object, document … key-value, search, RDBMS, graph, cognitive services, machine learning). Proven experience being accountable for designing, building, and productionising modern data or AI intensive applications, including systems that are distributed and scalable. Experience with public cloud data platforms, at least one of AWS, Azure or GCP including use of IaaS, SaaS and PaaS offerings. Comfortable with data More ❯