Data Transformation Jobs in Warwickshire

2 of 2 Data Transformation Jobs in Warwickshire

Azure Data Factory Engineer

Royal Leamington Spa, England, United Kingdom
JR United Kingdom
make product development dreams a reality by designing, engineering, and validating the products of tomorrow for the world’s leading manufacturers. Job Opportunity: Azure Data Factory Engineer Due to our continued growth, we are recruiting an Azure Data Factory Engineer to be based at our site in Warwick. … Key Accountabilities Pipeline Design and Management: Creating, scheduling, and managing data pipelines using Azure Data Factory. Data Transformation: Converting raw data into structured datasets using data flows. Use of Azure Data Factory Activities: Utilizing activities like Stored procedures, IfElse, etc. Operational Support: Ensuring … smooth operation of data pipelines and resolving issues. Data Integration: Working with APIs, connectors, and integration runtimes for seamless data flow. Data Validation: Performing checks and validating data transformations for accuracy. Documentation: Recording pipeline designs and operations for future reference. Collaboration: Working closely with development More ❯
Posted:

Enterprise BI & Analytics Architect

Stratford-upon-Avon, England, United Kingdom
Enable International
can be part of our journey. Job summary As an Enterprise BI & Analytics Architect at Enable, you will design and implement a cohesive internal data ecosystem that powers scalable reporting and analytics across the organization. You will lead the design of our enterprise BI architecture, define data governance … practices, and ensure data quality, consistency, and accuracy. Collaborating with leadership, technical teams, and business stakeholders, you will deliver trusted insights and foster a data-driven culture. Reporting directly to the COO, you’ll play a critical role in defining and enabling Enable’s analytics strategy. Duties and … responsibilities Lead the design and implementation of Enable’s enterprise BI and analytics architecture. Develop and maintain authoritative data models and BI layers, consolidating data from multiple systems into a centralized platform (Snowflake). Define and implement data governance frameworks, ensuring high data quality, consistency, security More ❯
Posted: