4 of 4 Data Pipeline Jobs in Merseyside

Work Pattern: Office-based About the Role A well-established and expanding organisation is seeking a SQL Developer to join its data function. This position offers exposure across database administration, data engineering, and business intelligence, providing a varied and hands-on workload. It’s a great … across both production and test environments Data Engineering (DE) Build and maintain SQL-driven ETL/ELT processes Support data pipeline development and scheduled workflows Transform raw data into structured, analysis-ready formats Assist with data modelling, including fact and dimension ...

have demonstrable experience using Power BI and SQL Are you motivated by autonomy, ownership and turning data into meaningful insight? Consider the role of Business Intelligence Analyst at Reed in Partnership in Liverpool. Please note, internal applications for this role close on 17th April. What is the role … about? The Business Intelligence Analyst plays a critical role in transforming data into insight that drives performance, decision-making and impact across the RinP Network. You will maintain and develop scalable, secure data architecture and analytics solutions, while owning end-to-end insight projects that investigate ...

platforms (Meta, Google) and how AI tooling integrates with creative testing Python or JavaScript skills for custom tooling or API integrations Experience with data pipelines or analytics tooling (GA4, Big Query, etc.) Behaviours & Traits Builder, not recommender - you ship things, you don't deck things Commercially grounded - every ...

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 ...