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 Governance, Data Management, Data Strategy, Analytics/AI and Insight capabilities. It sets and oversees data related policies and standards, so data is collected, processed, and exploited in accordance with the Group's risk appetite. Role Overview Royal London is … models using data modelling tools (Idera ER/Studio or similar). Data engineering/datapipeline experience, with hands on experience on integration tools such as Azure Databricks Notebooks, Azure Data Factory or PySpark. Python extremely beneficial. About More ❯
glasgow, central scotland, united kingdom Hybrid / WFH Options
Apriori Technologies Uk, Limited
Description The Data Quality Engineer plays a crucial role in ensuring the integrity, accuracy, and reliability of our organization's data assets. This position combines technical expertise with strong collaborative skills to implement and maintain data quality standards across the enterprise. Location:Belfast (Hybrid … days per week in office) Key Responsibilities Data Quality Framework: Develop and implement a comprehensive data quality framework, including defining data quality metrics, setting up data quality checks, and automating quality monitoring SLA and Data Contract Enforcement: Work with domain … data owners and DPOs to ensure adherence to SLAs and data contracts, and monitor data quality against these agreements Data Analysis: Conduct in-depth data analysis to identify data quality issues, anomalies, and inconsistencies Data Validation 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 ❯
is expected to report to Concord, NC on a full-time basis. The Role We are seeking a highly skilled and motivated Senior Data Processing Engineer to join the Aero Innovation team within the Motorsports Aerodynamic Department. Your primary responsibility will be to develop complex datapipelines and data-processing systems that enhance the productivity and capabilities of our aerodynamics development activities for both motorsport and high-performance production vehicles. As a member of our multi-disciplinary team, you will be at the forefront of designing, developing, and optimizing state-of-the … with our partners and ultimately help shape the future of motorsports. What You’ll Do Architect, design, build, and maintain scalable and efficient datapipelines to process and transform large volumes of structured and unstructured data from multiple sources. Work with data engineers and More ❯
and towards a sustainable future for the world. We're looking for a highly skilled AI Developer with expertise in .NET, C#, Python, Data Science, and Data Engineering. This role requires hands-on experience in AI solution integration, API development, data processing, and cloud … based data pipelines. A deep understanding of Microsoft's Semantic Kernel and enterprise-grade AI-powered application development is essential. The ideal candidate thrives in a collaborative environment, demonstrating strong problem-solving, communication, and teamwork skills to drive innovation and deliver cutting-edge AI solutions. Why Aggreko? Here … are some of the perks and rewards. Work on cutting-edge AI and data-driven applications. Be part of an innovative and collaborative new team. Gain continuous learning and career growth opportunities. Competitive compensation and benefits package. What you'll do: AI & Software Development: Design and maintain AI 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 datapipelines 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 data warehousing solutions and More ❯
Glasgow, Renfrewshire, United Kingdom Hybrid / WFH Options
Hymans Robertson LLP
your own ideas to our initiatives. What will your role look like? You will work on a modern tech stack, addressing software and data challenges that propel our business. You will design and deliver robust, scalable solutions within an agile, DevOps environment, utilizing the latest Microsoft and Azure … technologies. Initially, you will collaborate closely with a Technical Architect to develop a cutting-edge data lake for HRPW, laying the groundwork for custom AI solutions to improve team efficiencies. Key responsibilities include: Collaborating with our AI team on developing custom copilot solutions for HRPW. Working with high … Assessing trade-offs and barriers pragmatically during software delivery. Leading non-functional improvement efforts such as security and performance profiling. Liaising with the data engineering group to stay updated on Azure data tooling and promote best practices. Ideal candidate qualities: Passionate about technology, especially the Microsoft More ❯
Distinguished Engineer - AI & Data Science Department: Engineering Employment Type: Full Time Location: Glasgow Description Encompass enables fast, accurate identity validation and verification of corporate customers, and a gold standard approach to KYC. Our award-winning corporate digital identity (CDI) platform incorporates real-time data and documents … from authoritative global public data sources and private customer information, to create and maintain digital risk profiles. Utilizing the expertise of a global transformation team of KYC and banking industry experts, as well as strategic data, technology and consulting partnerships, enables seamless integration of Encompass into … the challenge. About the role We are seeking a visionary and technically hands-on Distinguished Engineer to define and execute our AI and data science strategy. You'll work at the intersection of AI research and product engineering to build intelligent, trustworthy systems that transform how financial institutions More ❯
Software Developer - Customer Intelligence - Hybrid Nice to meet you! We're a leader in data and AI. Through our software and services, we inspire customers around the world to transform data into intelligence - and questions into answers. We're also a debt-free multi-billion-dollar … future, and how we can best support our customers both internal and external by leveraging the latest in Generative AI within our solutions. Datapipelines, orchestration and additional manipulation of data will fall within your scope of influence. You will contribute to various solutions driven by … high-quality, testable, and scalable software solutions within established timelines while adhering to CI360 best practices and processes. Ensure solutions meet the highest data security guidelines and are consistent with R&D standards. Develop multi-tenancy solutions that support multiple services and scale seamlessly. Expand knowledge of CI360 More ❯