7 of 7 Data Ingestion Jobs in Bedford

seeking a highly experienced DevOps Engineer with a strong background in Google Cloud Platform (GCP) and a proven track record in delivering complex data analytics projects for clients. In this full-time, permanent role, you will be responsible for designing, implementing, and managing the infrastructure and deployment processes that … infrastructures tailored to each client's unique project requirements, ensuring high performance, availability, and security. Work closely with client stakeholders, full-stack developers, data engineers, and data scientists to define and execute efficient data ingestion, processing, and storage solutions that meet project deliverables. Implement and automate ...

/Spain Role Purpose: We are looking for an experienced DevOps Engineer to support the implementation, optimisation, and management of our cloud infrastructure and data pipelines. This role requires strong expertise in AWS services and DevOps best practices, with a focus on automation, security, scalability, and reliability. You will … responsible for building and maintaining Infrastructure as Code (IaC) with Terraform, deploying containerized applications using Kubernetes and Docker, and ensuring seamless integration of data ingestion processes. As a key member of our existing DevOps team, you will collaborate with development, data, and operations teams on the Clover ...

opportunity for a SC Cleared BI Developer to join a well established team to deliver a high profile data management system for a major defence organisation. Harnessing deep BI, SQL and Data engineering experience, the successful candidate will be a team player and work effectively with civil servants … Advanced expertise in SQL Server (2019, Analysis, Security, Objects, Jobs) Advanced experience with Visual Studio (SSIS, SSAS, DAX) Advanced skills in SSIS (Package creation, Data ingestion, Data Cleansing & ETL) Strong understanding of interaction with SSAS and Power BI Desktop Strong experience using DAX within Tabular Model Advanced ...

hiring a Senior Go Platform Engineer to help build and scale a next-generation agentic data analytics platform used by medium to enterprise teams. Business data is critical - but getting answers from it is still slow, complex, and overly technical. We're building an AI-native platform that … lets anyone ask natural-language questions of their business data and receive precise, secure answers in seconds. This is an opportunity to join an early-stage, high-calibre engineering team, working at the intersection of distributed systems, data infrastructure, and applied AI. This role will ...

Ortus Telematics is a cutting-edge technology firm specialising in IoT/Data solutions, predominantly serving the Emergency Services (EMS) sector. As Ortus continues its cloud transformation journey, we're looking for an experienced and visionary Platform Architect to take ownership of our AWS-based Insight platform. KEY RESPONSIBILITIES … evolve the end-to-end architecture of the Ortus Insight platform, spanning infrastructure, data, security, and application layers. Design and implement scalable, cost-effective AWS architectures that support high-throughput, mission-critical IoT and data workloads. Govern platform standards, documentation, and best practices across multiple engineering teams. Lead ...

identity warehousing solutions. Experience testing directory services including Active Directory and ADLDS. Knowledge of identity protocols including SCIM, REST API, LDAP, OIDC, and CSV data ingestion formats. Experience testing Graph Database Management Systems (GDBMS). Integration testing experience with ServiceNow, AWS, Azure, and GCP environments. Experience testing Policy ...

with 1-2 days in the Glasgow office. Job Duties Build scalable solutions that integrate AI capabilities into our products and services Collaborate with data scientists, product managers, and backend/front-end engineers to translate prototypes into reliable, maintainable code Support end-to-end development of AI systems … including data ingestion, model training, evaluation, and deployment Implement best practices in model versioning, monitoring, and continuous improvement Contribute to the evolution of our AI/ML infrastructure, including CI/CD pipelines and MLOps tools Stay current on advancements in AI, ML, and deep learning and assess ...