10 of 10 Permanent Data Pipeline Jobs in Newport

Summary The Data Engineering Consultant, working independently under limited oversight, empowers the organization through architecting, designing, and executing advanced analytics capabilities. In an agile team setting, they collaborate with data scientists, data analysts, and product teams to translate business needs into technical specifications … develop complex data pipelines. This role sets the strategic and technical direction for data capabilities, designing pipelines for data extraction, transformation, and loading from diverse sources. They handle large, complex data sets, solve business challenges using unstructured data ...

advisers and their clients by combining our innovative proprietary technology with exceptional customer service. As we scale, we are growing our multi-disciplinary Data, Analytics&AI function to unlock the full potential of our data assets. About the Role This is a high-impact hands … leadership role with the opportunity to design and build Fundment's data and analytics infrastructure from the ground up. Reporting to our Head of Data&Analytics, you will create the data foundations that allow us to deliver data-driven insights, automated systems ...

description Our Senior Data Engineers enable public sector organisations to embrace a data-driven approach by providing data platforms and services that are high-quality, cost-efficient, and tailored to clients' needs. They develop, operate, and maintain these services. They make sure they provide … maximum value to data consumers, including analysts, scientists, and business stakeholders. Key responsibilities As a Senior Data Engineer, you may play one or more roles according to our clients' needs. The role is very hands-on and you'll support as a senior contributor ...

Machine Learning Ops Engineer, you will play a key role in building and implementing features that empower lodging customers to make data-driven pricing decisions. Some of these features will use simple heuristic data, while others will leverage advanced machine learning techniques to optimize revenue strategies. … development to production. You'll be instrumental in establishing robust MLOps practices and rigorous testing processes across the entire ML lifecycle. From structuring data pipelines to implementing and validating ML models, you'll own the end-to-end development of our revenue management application—ensuring hotels have ...

labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Senior Data/Analytics Engineer Type: Hourly contractor Compensation: $35–$70/hour Location: Remote Commitment: 20–40 hours/week Role Responsibilities Design, build … modeling and semantic best practices. Integrate DBT workflows with Snowflake Cortex CLI to enable feature engineering pipelines, model training and inference tasks, automated pipeline orchestration, and monitoring and evaluation of Cortex-driven ML models. Establish best practices for DBT–Cortex architecture and usage patterns. Collaborate with data ...

role: Joining the Reporting product line, you would work as a member of a highly focused team. This team specialises in Java-based data engineering, designing and delivering large-scale ETL workflows on a lake house platform. You'll be working with modern big data technologies … move, transform, and optimise data for high-performance analytics and regulatory reporting. The environment encourages autonomy, problem-solving, and system-level thinking. If you're passionate about clean, well-tested, performant code and enjoy working on complex data pipelines at scale, you'll thrive here. Tech ...

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 ...

Ship production ML and agentic AI powering market leaders worldwide Boam AI builds managed data solutions that transform messy, unstructured signals from public, private, and proprietary sources into structured, reliable, and always up-to-date intelligence on millions of SMBs and enterprises worldwide. These agentic systems power CRMs … about complex, ambiguous modeling and production challenges 3. Work Sample: Solve a real Boam-style ML/AI challenge that shows your modeling approach, pipeline thinking, and execution muscle 4. Founder/Leadership Conversation: Candid discussion with our founder and Head of Engineering on ambition, values, ownership ...

top. We're working with a fintech scale-up building the next generation of intelligent financial products, automated decisioning, predictive insights, real-time data layers, and genuinely smart user experiences powered by applied AI. They're looking for a Product Manager who isn't scared of the unknown. … Turning ML capabilities (Python, TensorFlow, PyTorch) into real customer value Working closely with engineering teams using TypeScript, Node.js, React, and Next.js Partnering with data teams working across AWS, Kafka, Spark, and modern data pipelines Shaping products built on secure, scalable fintech architecture (Event-driven, microservices, serverless ...

leading global investment bank. You'll work on business-critical regulatory reporting platforms, helping modernise legacy systems and build strategic, cloud-based data solutions used across the firm. You'll be part of a collaborative Agile squad focused on Java services, Spark data pipelines, and cloud … What You'll Do Design, build, and enhance software applications supporting regulatory and financial reporting Develop Java-based backend services and Spark-driven data pipelines Contribute to the modernisation of platforms toward cloud-native architectures Work with large, complex datasets in an Agile delivery environment Support CI/ ...