Data Architect, Enterprise OT Asset Data ProductsLocation: London (hybrid)Duration: 6 months +Umbrella onlyIf you're passionate about making complex operational data genuinely usable-trusted, standardised and governed-this is a role where your architecture decisions directly enable condition monitoring, maintenance planning and smarter...
This role involves working closely with Databricks' largest UK & Ireland enterprise customers in the retail and consumer goods sectors to design and implement data and AI solutions using the Databricks Lakehouse Platform. The Senior Solutions Architect will lead technical engagements, develop custom proof-of-concepts, and act as a trusted advisor on data architecture and Generative AI adoption. They will also mentor junior team members and contribute to technical community initiatives through workshops and thought leadership.
As a Senior Solutions Architect, you will work with Databricks' largest and most complex customers to help them adopt the Databricks Data Intelligence Platform. You will develop and execute customer engagement strategies, coach account teams, and influence stakeholders across the cloud ecosystem, while contributing to the technical community through workshops and meet-ups.
The role involves leading enterprise data architecture assessments, mapping systems and data flows, and identifying risks and inconsistencies. It focuses on defining data models, improving integration patterns, and enabling data readiness for AI. The architect will work across teams to align data strategy with business needs and improve data quality and traceability.
This role involves designing and governing the Snowflake data platform, including data warehousing, cross-cloud orchestration, and AI readiness. Responsibilities include defining data modelling standards, implementing secure data pipelines, and creating data contracts with business analysts.
This role involves building AI-native data pipelines, tailoring data capabilities for global markets, and automating insights using Python and generative AI. You will work closely with engineering and senior stakeholders to enhance the customer journey and drive strategic decisions.
The Forward Deployed Engineer role involves collaborating with investment professionals to identify and solve complex business and research challenges. You will design and build production-ready applications, workflows, and AI-powered tools, transforming ideas into scalable systems used by front-office teams. The role requires strong software engineering skills, experience with cloud platforms, and the ability to work closely with business stakeholders.
This role involves designing, building, and scaling enterprise-grade AI platforms, transforming AI research into production systems. You'll work on complex AI services, data pipelines, and cloud-native architectures, collaborating with Data Scientists and Software Engineers to productionize ML and NLP models.
This role involves building and maintaining a Python codebase and data pipelines, developing REST APIs, and creating internal tools for data ingestion, validation, and reporting. You will work closely with a senior engineer to solve real business problems and contribute to the growth of the company's internal data platform.
As a Data Engineer, you will design and build data pipelines on Databricks and Azure, focusing on modernizing the data platform and enabling AI-driven automation. You will work closely with AI/GenAI Engineers and customer teams to develop lakehouse architecture, integrate Azure data services, and prepare structured data.
The Energy Analytics Engineer will design and maintain data pipelines using Azure-based tools, automate data ingestion from APIs, and support reporting and analytics for energy and sustainability initiatives. The role involves close collaboration with cross-functional teams to deliver robust data models, ensure data quality, and enable data-driven decision-making. A key focus is on enabling carbon reporting and driving digital solutions that support Veolia’s ecological transformation goals.
The Data Architect role involves designing and evolving data and technical architecture for AI products, defining how applications, data, APIs, models, and enterprise systems connect. You will work closely with engineering, infrastructure, security, and data teams to ensure AI solutions are scalable, secure, and maintainable.
Senior Data Engineer Microsoft Fabric Azure dataThis is a new and exclusive opportunity for a Senior Data Engineer with strengths in Microsoft Azure data to be a key lead in strengthening, evolving, and modernising our core data platforms.Job detailsTitle: Senior...
This role involves leading data strategy discovery for a telecommunications client, assessing current data landscapes across customer, finance, and network domains. The Data Architect will evaluate existing GCP BigQuery Data Lakehouse implementations, identify data quality and governance issues, and define a target architecture and roadmap. Key activities include stakeholder workshops, data inventory cataloguing, and designing data ontologies for AI/analytics use cases, with opportunities to use Python and LLMs for automation.
Design and build scalable data pipelines and data models using Azure technologies for clients in financial services and other sectors. Work across the full data lifecycle, from ingestion to delivery, using modern cloud platforms and metadata-driven automation. Collaborate with technical teams and stakeholders to deliver robust, secure data solutions in an Agile consulting environment.
