Company: Royal London Group Contract Type: Permanent Location: Wilmslow or Edinburgh or Glasgow Working style: Hybrid 50% home/office based The Group Data Office (GDO) is responsible for enhancing the effectiveness of how data is used across Royal London (RL). The function provides Data … in accordance with the Group's risk appetite. Role Overview Royal London is seeking experienced data modellers with extensive datawarehouse design skills to join a newly formed Core Engineering team who play a pivotal part in the data engineering, modelling and data … modelling/design engagement across the EDP. Applies expert data modelling knowledge at all levels (conceptual, logical and physical), plus physical warehouse/data lakehouse data structure design experience within an Agile development environment. Working potentially over multiple projects at any one More ❯
Build and maintain the configuration of the data stack within the DevOps framework. • Develop data objects and write code in and around the data stack. • Interact with upstream and downstream systems and API for data ingestion and egestion. • Build ETL pipelines and … data framework for monitoring the pipeline. • Ensure performance, quality, and consistency in the data and processes. • Champion good data design practices and promote data quality. • Collaborate and contribute with data architecture, DBA's, and other team members. • Review use cases … data demand, envision future demands to develop data services to support Business needs. • Explore new ways of improving data utilization/consumption, discovery, and lineage. • Develop and champion data principles and define/lead efforts for adoption. • Develop tools and functions for More ❯
our team and help us develop game-changing, high-quality solutions. As a Sr Solutions Architect at JPMorgan Chase within the Technology Chief Data Office (CDO), you will be responsible for designing and overseeing the implementation of our Technical Data Lakehouse and developing supporting software that … Experience with cloud technologies (AWS or GCP), via hands-on work or certification. Practical experience with data lake or datawarehouse technologies (e.g., Spark, ETL, Databricks). Preferred Qualifications, Capabilities, and Skills Experience with metadata processes and technology, along with a background in data management and data quality. Hands-on experience in system design, application development, testing, and operational stability. About the Team J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals, and institutional investors. More ❯
Data Engineer (Azure) - Outside IR35 - 3 Months+ - Remote/Glasgow We're currently looking for an experienced Data Engineer to join a Glasgow-based organisation going through a significant transformation. As the organisation looks to mature their data capabilities, this role will be pivotal … in building out their data infrastructure, specifically focusing on designing and developing scalable data pipelines. The data to be ingested will vary; however, a focus will be placed initially on the company's analytics platforms and the company's CRM, so experience here would … be advantageous. Desired Skills Designing and building robust data pipelines for scalable data processing Developing and maintaining ETL workflows to support analytics and reporting Hands-on with Azure ecosystem: Data Factory, Databricks, and Synapse Analytics Experience working with datawarehousing solutions and More ❯
consultancy clients! They are currently looking for a skilled Technical Business Analyst to become a subject matter expert in the core system functionality, data model and key business processes. Job Responsibilities/Objectives You will be responsible for acting as functional SME and interface between the business/… maintain high quality Analysis artefacts throughout the project lifecycle - Support the Development team to translate functional specifications into technical specifications and implementation. - Utilize data analysis skills to verify that inbound data meets expectations, investigate defects and any data gaps are addressed appropriately. - Based on … the projects data requirements, determine appropriate enhancements to the data model; apply relevant data modelling techniques and follow the governance process for approval for data model updates. - Work collaboratively within the BA team to ensure on-time and quality deliverables, engage in More ❯
