3 of 3 Data Pipeline Jobs in Merseyside

Senior Data Engineer

Hiring Organisation
Matalan
Location
Liverpool, Merseyside, North West, United Kingdom
Employment Type
Permanent
strong data governance, including lineage, cataloguing, and eliminating shadow IT Set engineering standards across CI/CD, version control, and documentation Oversee pipeline orchestration (ETL/ELT) to ensure reliable, high-performing data flows Work cross-functionally with Finance, Data Science, and Architecture … programming skills in Python and SQL, with experience building scalable, reusable frameworks Deep understanding of lakehouse and medallion architectures Experience with data pipeline tools (e.g. DataFactory, Dataflow/Apache Beam) and workflow orchestration A track record of delivering cloud cost optimisation (FinOps) and managing large-scale data ...

Data Engineer

Hiring Organisation
Munich Re
Location
Metropolitan Borough of Wirral, United Kingdom
Employment Type
Full Time
myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. About the job Job title: Data Engineer Location: Birkenhead - Hybrid working Working hours: 35 hours per week About HSB HSB (UK and Ireland) is a leading specialist provider of engineering, technology … components Understanding of data modelling, schema design and performance optimisation Familiarity with ETL/ELT concepts and data pipeline development Experience using Git and version control practices Exposure to Azure data tools such as Azure SQL, Data Factory ...

Manufacturing Digitalisation Specialist / SPOC

Hiring Organisation
Randstad RIS
Location
Merseyside, England, United Kingdom
Employment Type
Full-Time
Salary
£46,588 per annum
play a key role in supporting the plant's digital transformation journey. Working closely with Plant IT, Ford Production System teams, Global IT, Data Science and AI teams, you will help develop, deploy and maintain digital tools that improve manufacturing processes across the site. You will support … dashboards. Work with key stakeholders to develop and support a digital transformation roadmap focused on efficiency, waste reduction and process improvement. Partner with Data Science and AI teams to explore how predictive analytics can support production processes. Identify opportunities to improve manufacturing performance through digital tools, automation, data ...