have been meeting customers wherever they are in the digital lifecycle and helping them outperform their competition through speed and innovation. Apexon brings together distinct core competencies – in AI, analytics, app development, cloud, commerce, CX, data, DevOps, IoT, mobile, quality engineering and UX, and our deep expertise in BFSI, healthcare, and life sciences – to help businesses capitalize on the … are looking for a highly skilled Data Solution Architect with deep expertise in designing and implementing cloud-native data platforms . The ideal candidate will have strong experience across Azure and AWS , with the ability to create scalable, secure, and high-performing data architectures that meet complex business needs. You will play a key role in shaping data strategies … to pre-sales, and ensuring data solutions align with modern best practices in cloud architecture and governance. Responsibilities: Design and architect robust, scalable, and cost-effective data platforms on Azure and AWS . Translate business requirements into end-to-end technical solutions, covering data ingestion, transformation, storage, analytics, and visualization. Present architectural options and proposals to clients and More ❯
unified business language, contributing to the development and execution of the data strategy, ensuring data integrity, and driving continuous improvement of our data platform. Key Skills Required Proficiency in Azure Databricks, including Unity Catalog, DLT, Cluster management, and optimization. Experience with Azure Data Factory, AzureSynapseAnalytics, Azure Data Lake Storage, Azure Stream … Analytics, and Azure Event Hubs. Strong programming skills in Python, Scala, C#, .NET. Advanced SQL knowledge, including working with relational databases, query authoring (T-SQL), and optimization. Experience in building and deploying CI/CD processes with Azure DevOps and infrastructure as code tools like Terraform, BICEP, ARM. About Sciensus Sciensus is a leading European life sciences More ❯
Stoke-on-Trent, England, United Kingdom Hybrid / WFH Options
JR United Kingdom
the latest cutting-edge cloud technologies. As part of this role, you will be responsible for some of the following areas • Design and develop scalable data pipelines to support analytics and operational reporting. • Build and maintain ETL/ELT processes to ingest, transform, and store data from various sources. • Collaborate with clients including both technical and non-technical stakeholders … in the role you will have • Solid experience designing and delivering data solutions focused on Databricks • Strong ETL experience with tools such as ADF or SSIS • Experience working with Azure technologies – Synapse, Fabric, Data Lake • Knowledge of data architecture principles and data modelling What is on offer? • Starting salary of up to £60,000 • 100% remote working with More ❯
innovation, collaboration, recognition and inclusivity and offer a wide range of benefits to support staff wellbeing. Your Future Starts Here PURPOSE OF JOB: We’re looking for an experienced Azure Data & AI Engineer with a strong focus on advanced analytics, machine learning, and applied AI - particularly Generative AI. This role will suit a technically capable professional who combines … real-world AI/ML solution delivery experience with a solid understanding of the Azure ecosystem. The ideal candidate will bring hands-on expertise in designing and building AI-driven solutions using Azure-native tools and frameworks such as Azure OpenAI, Prompt Flow, Semantic Kernel, Azure AI SDKs (including azure-ai-projects, azure-ai … inference), and open-source frameworks like LangChain. Familiarity with traditional Azure AI services (e.g. Document Intelligence, Vision, Language, and Speech) is expected, alongside a developer-oriented mindset (code-first) and experience with integrating AI workloads into secure, scalable Azure environments. The role requires deep platform knowledge - especially across Azure security, identity and networking (e.g., IAMs, Private Endpoints More ❯
structured datasets that can be utlised for reporting purpose in a performent, secure way. Key responsibilities: Taking full ownership of assigned projects and BAU tasks. Maintaining current pipelines within Azure ADF and Synapse Analytics. Build a process of transforming raw data from various CRM system into a harmonised and curated layer. Develop the usage of event driven topics … practice within the Data Team. Developing and creating data science tools to give a deeper understanding of the customer book. Recording and updating of work on Project Management System (Azure DevOps). Own and enhance the BAU runbook for engineering operations Develop the instrumentation and monitoring of IT automated tasks Taking a lead in the engineering function of the … years' Cloud-based Data Engineering experience, Previous experience of formal methodologies with data engineering Experience leading or working in an engineering team or function Previous experience of using the Azure Stack Experience working in a proactive analytics function Experience of working in the Utilities sector Experience leading technical projects Skills & Technologies required: Proficiency in cloud-based data engineering More ❯