work in the UK . International Manufacturing organisation is seeking to secure a Data Engineer. Member of a small Data Engineering Team which is part of a much larger IT function. Role: Data Movement & Transformation processes between Application/Services/Solutions. Azure Data Factory Pipelines & SSRS reporting solutions - maintenance & optimization ETL - Design, implement & manage ETL processes - ensure accuracy … errors & performance bottlenecks. Validate & Reconcile Data - ensuring accuracy. SSRS, Power BI & other BI tools - User Support. Provide Governance, Security & Compliance - aligned to Data best practices. Liaison with IT Business Systems & Business Teams & Third Parties. Drive Continuous Improvement. Technical Skills Required: Azure Data Factory. AWS Data Services (Redshift, S3, Lambda) - Desirable. SSRS - hands-on experience. ETL - Design, Data … Quality Frameworks & Pipeline Management. SQL - Star Schema - Data Modelling. Data Warehouse Design, Development & Testing. Data Warehousing Methodologies. User Support - Power BI - desirable experience. Undertake & Support ITGovernance processes (License review etc). Customer Focused & Proactive approach. Excellent communication skills - explain technical concepts to non-technical audiences Collaborative approach to teamwork. Contractual Hours: Monday to Friday - 40 Hours More ❯
work in the UK . International Manufacturing organisation is seeking to secure a Data Engineer. Member of a small Data Engineering Team which is part of a much larger IT function. Role: Data Movement & Transformation processes between Application/Services/Solutions. Azure Data Factory Pipelines & SSRS reporting solutions - maintenance & optimization ETL - Design, implement & manage ETL processes - ensure accuracy … errors & performance bottlenecks. Validate & Reconcile Data - ensuring accuracy. SSRS, Power BI & other BI tools - User Support. Provide Governance, Security & Compliance - aligned to Data best practices. Liaison with IT Business Systems & Business Teams & Third Parties. Drive Continuous Improvement. Technical Skills Required: Azure Data Factory. AWS Data Services (Redshift, S3, Lambda) - Desirable. SSRS - hands-on experience. ETL - Design, Data … Quality Frameworks & Pipeline Management. SQL - Star Schema - Data Modelling. Data Warehouse Design, Development & Testing. Data Warehousing Methodologies. User Support - Power BI - desirable experience. Undertake & Support ITGovernance processes (License review etc). Customer Focused & Proactive approach. Excellent communication skills - explain technical concepts to non-technical audiences Collaborative approach to teamwork. Contractual Hours: Monday to Friday - 40 Hours More ❯
Cambridgeshire, Newmarket, Suffolk, United Kingdom
Mackenzie Jones IT
work in the UK . International Manufacturing organisation is seeking to secure a Data Engineer. Member of a small Data Engineering Team which is part of a much larger IT function. Role: Data Movement & Transformation processes between Application/Services/Solutions. Azure Data Factory Pipelines & SSRS reporting solutions - maintenance & optimization ETL - Design, implement & manage ETL processes - ensure accuracy … errors & performance bottlenecks. Validate & Reconcile Data - ensuring accuracy. SSRS, Power BI & other BI tools - User Support. Provide Governance, Security & Compliance - aligned to Data best practices. Liaison with IT Business Systems & Business Teams & Third Parties. Drive Continuous Improvement. Technical Skills Required: Azure Data Factory. AWS Data Services (Redshift, S3, Lambda) - Desirable. SSRS - hands-on experience. ETL - Design, Data … Quality Frameworks & Pipeline Management. SQL - Star Schema - Data Modelling. Data Warehouse Design, Development & Testing. Data Warehousing Methodologies. User Support - Power BI - desirable experience. Undertake & Support ITGovernance processes (License review etc). Customer Focused & Proactive approach. Excellent communication skills - explain technical concepts to non-technical audiences Collaborative approach to teamwork. Contractual Hours: Monday to Friday - 40 Hours More ❯
