Fleet, Hampshire, South East, United Kingdom Hybrid / WFH Options
Experis
matter expert, providing technical leadership, guidance, and best practices across the team. You will play a critical role in designing, developing, and implementing complex data solutions on cloud platforms (primarily AWS), ensuring they meet the highest standards of quality, scalability, and performance. Key Responsibilities: * Serve as a subject matter … expert in cloud data engineering, providing technical guidance and mentorship to the team. * Drive the design, development, and implementation of complex data pipelines and ETL/ELT processes using cloud-native technologies (e.g., AWS Glue, AWS Lambda, AWS S3, AWS Redshift, AWS EMR). * Develop and maintain data quality checks, data validation rules, and datalineage documentation. * Collaborate with data analysts, data scientists, business stakeholders, and product owners to understand their data needs and translate them into innovative and effective technical solutions. * Troubleshoot and resolve complex data quality issues, performance More ❯
Belfast, County Antrim, Northern Ireland, United Kingdom Hybrid / WFH Options
McGregor Boyall Associates Limited
Role: Data Analyst - Market Risk Controls Rate: £600.00 per day (Inside IR35, via Umbrella) Length: 6 months, until 31/12/2025 Location: Belfast (Hybrid, 2 to 3 days per week in office) We're supporting a leading investment bank as they build out the control framework for … their strategic data platform within Market Risk. This sits within a wider transformation programme focused on improving the quality, traceability and control of risk data. This role would suit someone who enjoys getting into the detail of data, has strong SQL skills, and can help define and measure … control metrics, without directly building the controls themselves. What you'll be doing: Supporting control development through analysis, helping to define metrics and assess data quality rather than coding or implementing controls Performing deep-dive data analysis using SQL on large, complex datasets Identifying and tracing dataMore ❯
Glasgow, Queen Street, City of Edinburgh, United Kingdom
Hays Technology
Your New Company and Role Hays' client is a leading Scottish public sector organisation. You will play a crucial role in their data migration project, transitioning data from our current system to a new platform. In this role, you will: Cleanse and transform data from the current … system for migration to the new platform. Map external data sources, interfaces, and third-party systems. Document off-system data sources and identify critical data for inclusion in the transformation activity. Evaluate localised reporting activities and determine gaps in specified reporting. Analyse off-system data sources … and documents for digitisation. Ensure data compliance with GDPR and retention policies. Support the development and implementation of tools for data identification and archiving. Support the cataloguing and mapping of data fields used in critical processes. What You Will Need to Succeed The following skills and experience More ❯
Strategic Resources European Recruitment Consultants Ltd
the Power Platform and Integration Developer ensures that the Power Platform forms a central part of the integration journey of our business applications and data Key Job Responsibilities Supporting Analytics and Integration Program: Collaborate with cross-functional teams to maintain and enhance our application footprint, and the modern data platform, leveraging your expertise in Power Platform, data integration and automation techniques. Stay up to date with innovation: Understand best practice of data engineering and its application and stay up to date with emerging technologies in the low-code application development and automation space. Analyse, Model and … automation which delivers the highest value for money. Ensure quality and reliability: Drive improvements in application quality, understanding how users interact with applications and data, and ensure that downstream work flows are processed effectively, efficiently, robustly and timely. Implementing data validation, processing, management, and controls were necessary, to More ❯