7 of 7 Permanent Data Pipeline Jobs in Merseyside

where you can truly act as an expert in your field in support of our clients and their challenges in the world of data and technology, read on! The Role We are looking for an experienced, driven, and hands-on data engineer with strong data … lead the delivery of a key migration project. You will play a key role in the migration and redevelopment of an existing Data Warehouse into a modern AWS-based environment. This position focuses on analysing current ETL processes, understanding existing data structures, and re-engineering them ...

leading data consultancy is seeking an experienced Senior Data Engineer to join their team and deliver cutting-edge solutions for a major transportation project. This is an exciting opportunity to work on a high-impact initiative for a well-known UK transport provider, leveraging modern cloud … technologies to transform data capabilities. About the Role The successful candidate will play a key role in designing and implementing scalable data solutions using the Microsoft Azure Data Stack. You'll work closely with stakeholders to translate business requirements into robust technical architectures, ensuring ...

Data Engineer Salary: Up to £55,000 Location: Liverpool Overview I'm working with a growing, data-driven organisation looking for a Data Engineer to join their engineering team. This is an excellent opportunity for someone with a strong computer science background who enjoys … building reliable data pipelines and working with modern cloud-based data platforms. You’ll work closely with analytics and engineering teams to develop scalable, well-structured data solutions using modern tooling and best practices. Key Responsibilities Design, build, and maintain data pipelines ...

with a well‐established, values‐led organisation operating at scale across the travel and leisure sector. They are investing heavily in AI and data, and are now looking to hire a Senior AI/ML Engineer to play a key role in building and productionising machine learning solutions … impact. This is a hands‐on senior engineering role with strong ownership across end‐to‐end AI/ML delivery, working closely with data science, product and engineering teams. The Role: Design, build and maintain scalable, end‐to‐end AI/ML pipelines using Microsoft Fabric Develop, train ...

Data Engineer Salary: Up to £55,000 Experience: 2-3 years Location: Liverpool Overview I'm working with a growing, data-driven organisation looking for a Data Engineer to join their engineering team. This is an excellent opportunity for someone with a strong computer … science background who enjoys building reliable data pipelines and working with modern cloud-based data platforms. You'll work closely with analytics and engineering teams to develop scalable, well-structured data solutions using modern tooling and best practices. Key Responsibilities Design, build, and maintain ...

continually refine the AI initiatives portfolio and roadmap for the group. Run a structured intake process for new ideas, assessing value, feasibility, data readiness, ethical risk, and compliance. Define clear success measures for every proof of concept (PoC) and MVP, including KPIs, leading indicators, and decision gates … weeks) using Agile methods (Scrum or Kanban) with regular demos and retrospectives. Build and lead cross-functional squads including Product Owner, Data Scientists, ML Engineers, Integration Engineers, Solution Architect, and domain experts from Admissions, Registry and Student Services. Design experiments, test hypotheses, and iterate quickly, ensuring human ...

roadmap, combining leadership of architecture and engineering practice with hands-on development of prototypes and production features. You'll partner with Product, Data, and Platform Engineering to design and integrate AI-driven capabilities such as voice/chatbots, natural-language analytics, and predictive models. This role balances strategic … feasibility studies for emerging AI technologies. Collaborate with Product Management to scope AI features and align them with business goals. Partner with Data Engineering to operationalize models, manage training data, and implement monitoring and retraining pipelines. Work closely with Development, DevOps, and QA teams to ensure ...