4 of 4 Data Ingestion Jobs in Shrewsbury

Title: Data Engineer Location: Hybrid/Manchester Rate: £400/day Inside Ir35 Duration: until 31/03/26 to begin with About Us: Brio Digital are currently supporting a public sector consultancy who are currently looking for a skilled Data Engineer with a lot of experience … with R, Shiny & Databricks. Role Overview: As a Databricks Engineer, you will design, develop, and manage data solutions on the Databricks platform, enabling high-performance data pipelines and analytics. This role will work closely with data scientists, analysts, and engineering teams to support data-driven decision ...

Senior Data Engineer – Remote (UK) - £70K-£80K Are you passionate about building robust data solutions that power analytics and business intelligence? We're working with a global organisation seeking a talented Senior Data Engineer to join their IT team and play a key role in shaping their … centralised data platform. About the Role As a Data Engineer, you'll design, develop, and maintain scalable data pipelines and integration solutions that enable secure, efficient data flows across the business. You'll collaborate with internal stakeholders and external partners to deliver high-quality data ...

TimeXtender delivers secure, trusted, AI-ready data for every decision. Our metadata-first platform enables mid-sized enterprises to build future-proof data infrastructure 10x faster than traditional methods. By automating the complex layers of data ingestion, preparation, and delivery, TimeXtender provides a secure foundation … analytics and AI across cloud, hybrid, or on-prem environments. We give data teams the agility they need and the governance compliance demands. Role Summary As a Product Support Specialist, you will be the go-to expert for our data platform, owning complex technical escalations ...

company's clinical platform. You'll work closely with clinicians, product managers, and software engineers to transform complex healthcare challenges into robust, data-driven solutions. This is a hands-on role with broad impact—touching everything from model training and deployment to safety evaluation and infrastructure. Key Responsibilities: Design … implement NLP and ML systems for clinical and conversational applications Build and maintain data pipelines, model training, fine-tuning, evaluation, and deployment workflows Collaborate cross-functionally to translate clinical requirements into scalable technical solutions Ensure safety, performance, and regulatory compliance of ML systems Contribute to technical strategy, architectural decisions ...