4 of 4 Remote Data Pipeline Jobs in Newcastle upon Tyne

We are looking for a Lead Data Architect to provide strategic leadership and technical expertise in the design and development of data solutions. This role involves setting technical standards, evaluating new technologies, and shaping our approach to data. You will lead a team of Data Architects, Engineers, and Analysts, defining data architecture … frameworks and ensuring the development of scalable, robust, and cost-effective solutions. The ideal candidate will have a passion for data, be technology-agnostic, and possess excellent client-facing skills. Lead Data Architect Annual Salary: circa £85,000 Location: Flexible, hybrid working with some client travel Day to day of the role: Shape the approach to … platforms in Azure/AWS or significant on-premise design experience. 5+ years in data engineering or business intelligence roles. Extensive ETL and data pipeline design experience, technology agnostic. Proficiency in SQL and experience with data engineering coding languages such as Python, R, or Spark. Understanding of data warehouse and More ❯

enforce compliance. Customers from different business sectors and levels of government trust our team of 1,250 people for their expertise in R&D, security design, engineering and data-driven insights. We are an integral part of Crane NXT , a $2 billion dollar business with over 5,000 associates Position Summary & Objective The BI & Data Analyst … is responsible for collecting, analyzing, and presenting data to support decision-making across the organization. This role develops and maintains reporting solutions, dashboards, and KPIs, ensuring data accuracy, consistency and is compliant with data governance principles. The Analyst works closely with internal/external stakeholders to understand requirements and deliver actionable insights, helping the … Design, develop, and maintain regular reports and dashboards to support functions across the organization (creating prototypes where practicable) Gather and document reporting requirements from business stakeholders; proactively challenge data owners/data users as appropriate and support them during testing Ensure data accuracy, integrity, and consistency across solutions developed within the team Perform data More ❯

Role: Data & ML Engineer Location: Newcastle Upon Tyne Levels: Senior Analyst, Specialist Please Note: Due to the nature of client work you will be undertaking, you will need to be willing to go through a Security Clearance (Including BPSS) process as part of this role, which requires 5+ years UK address history at the point of application. Hybrid … you'll be working with cutting-edge technologies and will have the opportunity to develop a wide range of new skills on the job. Role Overview: As a Data & ML Engineer, you will design, build, and optimize scalable data pipelines and machine learning solutions. You’ll work with client teams to deliver intelligent data products, leveraging modern cloud and AI technologies. Key Responsibilities Design and implement robust data pipelines and ML workflows using Python, SQL, Spark, and Databricks. Develop and deploy machine learning models (including NLP, deep learning, and agentic AI) in production environments. Integrate data from diverse sources, including streaming and batch ingestion, using Azure Data More ❯

Shape the Future with AI — Start Your Career Here Are you fascinated by artificial intelligence, machine learning, and data-driven innovation? Are you excited by the potential of AI to solve real-world problems and build smarter systems? We’re looking for an ambitious and curious Graduate AI Analyst/Engineer to join our AI & Data … recent graduate who wants to kickstart their career by working on real AI projects, learning from experts, and gaining hands-on experience with modern AI tools, models, and data pipelines. Whether you studied Computer Science, Engineering, Maths, Data Science, or a related field, if you have a passion for AI and a hunger to learn — we … want to hear from you. What You’ll Be Doing You’ll work with experienced AI engineers and data scientists to: Build & Train Models : Support the development and training of machine learning and deep learning models using tools like Python, TensorFlow, PyTorch, or Scikit-learn. Explore & Prepare Data : Help clean, transform, and analyse large datasets for More ❯