Job Title : Lead Data & Machine Learning Architect Location : Yate (On-Site 2 Days Per Week) Salary : Up to £60,000 (Depending on Experience) Overview of Business: This is a chance to join a team who are creating an Energy Management Solutions to minimise energy cost & increase higher returns from energy assets. We are seeking a highly skilled Lead Data & Machine Learning Architect to design and lead the development of robust data and machine learning systems. You will take ownership of the data architecture, drive the development and deployment of machine learning models, and contribute to the strategic use of data across the organisation. Key Responsibilities: Data Architecture Schema & Model Ownership: Design, implement, and … maintain logical and physical data models, primarily using PostgreSQL. Data Integration: Build and manage robust data pipelines to ingest, clean, and unify data from APIs, sensors, and other external sources, using tools like Dagster. System Design: Select appropriate storage and processing technologies tailored to system needs. Governance & Security: Define and enforce data governance policies More ❯
Role: Snowflake Data Architect Location: Hove, UK Permanent Role Work Mode: Hybrid Role & Responsibilities Define and implement the end-end architecture of Data warehouse on Snowflake. Create and maintain conceptual, Logical and Physical Data Models in Snowflake. Design Data Pipelines and ingestion frameworks using Snowflake native tools. Work with Data Governance teams to establish … Data lineage, Data quality and access control mechanisms. Engage with Data stewards and other stake holders to build a comprehensive & scalable Data warehouse. Implement RBAC, Data Masking & encryption practices to ensure compliance with Data Security policies. You Must Posses 10+ years of experience in designing Enterprise Data Platforms with atleast 5+ years in … Snowflake. Strong Expertise in SQL, Data Warehousing. Hands on experience working in Insurance 3+ years of experience in DBT for Data Transformation. Deep understanding of Agile methodologies in Data environment. FamiliaritywithPowerBI. More ❯
Role: Snowflake Data Architect Location: Hove, UK Type: Permanent Role Work Mode: Hybrid Role & Responsibilities Define and implement the end-to-end architecture of Data warehouse on Snowflake. Create and maintain conceptual, logical, and physical data models in Snowflake. Design data pipelines and ingestion frameworks using Snowflake native tools. Collaborate with Data Governance teams … to establish data lineage, data quality, and access control mechanisms. Engage with data stewards and stakeholders to build a comprehensive and scalable data warehouse. Implement RBAC, data masking, and encryption practices to ensure compliance with data security policies. Qualifications & Skills 10+ years of experience in designing enterprise data platforms, with at least 5+ … years in Snowflake. Strong expertise in SQL and data warehousing. Hands-on experience working in the insurance industry; prior experience with L&G is an advantage. 3+ years of experience with DBT for data transformation. Deep understanding of agile methodologies in data environments. Familiarity with Power BI. More ❯
Role Overview We are seeking an experienced Data Architect to work closely with business and technology stakeholders, translating their needs into scalable, performant, and reliable data-driven solutions. You will design enterprise-wide data architectures, develop governance strategies, and deliver modern data capabilities that enable actionable insights and long-term business value. Key Responsibilities Partner with … stakeholders to identify requirements, conduct discoveries, and design data-driven solutions that align with business and technology strategies. Translate complex technical concepts into clear, concise insights for stakeholders. Design and implement enterprise-wide data architectures, ensuring scalability, security, and performance. Define and develop data strategies, governance frameworks, and operating models spanning technology, people, and processes. Build and … maintain conceptual, logical, and physical data models for databases, data warehouses, and data lakes. Enable seamless data integration across platforms using APIs, middleware, and event-driven architectures, incorporating structured, semi-structured, and unstructured data sources. Contribute to the development and productionisation of new data capabilities through discovery, prototyping, and solution delivery. Deliver customer More ❯
working together with colleagues to define, manage and achieve strategic business outcomes. This role is created in the context of increasing pace in the implementation of the multi-year Data strategy for Markets and Securities Services, and sits in the Data Operations Product team, alongside other data domain aligned Product owners. The role reports to the Head … of MSS Pricing Product. Role purpose The Technical Business Analyst will use their SME knowledge of pricing, Enterprise Data Management (EDM) software and data governance to support the Head of MSS Pricing Product to deliver a best-in-class pricing offering for MSS. The output of this role will ensure the provision of a high-quality data … to publication. Apply a technical lens to change requests to ensure the chosen solution is appropriate, feasible from both a technical and cost perspective, maintainable and meets the client data governance standards. Provide training and support to the Deriving Pricing Operations team to ensure they have the right level of technical knowledge and skill on all aspects of the More ❯
Responsibilities Engage with stakeholders to understand business objectives and translate them into comprehensive technical designs for payment systems. Develop and maintain the overall architectural structure of payment systems, including data models, APIs, and distributed systems. Oversee integration of payment platforms and gateways with client systems and third-party services. Provide technical guidance and mentorship to development teams, ensuring adherence … Proficiency in Java , Spring Boot , microservices, and cloud platforms (AWS, GCP, Azure). Strong understanding of Object-Oriented Analysis and Design (OOAD) , UML , and modern architectural patterns. Experience with logicaldata modeling, building common data models, and using data modeling tools. Ability to translate business requirements into effective technical strategies and solutions. Excellent communication and collaboration … countries, we help organizations accelerate their digital and sustainable transitions. Backed by over 55 years of experience, we deliver end-to-end solutions powered by AI, cloud, and data, and supported by deep industry expertise. In 2023, Capgemini reported global revenues of €22.5 billion. Get the future you want More ❯
Responsibilities Engage with stakeholders to understand business objectives and translate them into comprehensive technical designs for payment systems. Develop and maintain the overall architectural structure of payment systems, including data models, APIs, and distributed systems. Oversee integration of payment platforms and gateways with client systems and third-party services. Provide technical guidance and mentorship to development teams, ensuring adherence … Proficiency in Java , Spring Boot , microservices, and cloud platforms (AWS, GCP, Azure). Strong understanding of Object-Oriented Analysis and Design (OOAD) , UML , and modern architectural patterns. Experience with logicaldata modeling, building common data models, and using data modeling tools. Ability to translate business requirements into effective technical strategies and solutions. Excellent communication and collaboration … countries, we help organizations accelerate their digital and sustainable transitions. Backed by over 55 years of experience, we deliver end-to-end solutions powered by AI, cloud, and data, and supported by deep industry expertise. In 2023, Capgemini reported global revenues of €22.5 billion. Get the future you want More ❯
