Design and govern enterprise-scale data architectures across hybrid and cloud environments, including data lakes, warehouses, and modern data pipelines. Provide technical leadership on data management frameworks, cloud migration, and AI-enabled analytics solutions within an Agile transformation programme. Collaborate with stakeholders and delivery teams to ensure robust, scalable data platforms aligned with governance and business needs.
Data Engineer (SC Clearance)Location: Telford (2 days/week in the office)Clearance: Active SC ClearanceInside IR35: Umbrella rate £450.00 - £500.00We are working with a client who is hiring a Data Engineer for a contract opportunity starting soon. If you already hold...
As a Data Engineer, you will build and maintain data pipelines using SQL and Python, develop data models for analytics and AI applications, and work with cloud platforms like Azure, AWS, or GCP. You will collaborate closely with Product Managers, AI Engineers, and Analysts to support the development of next-generation analytics and decision intelligence products.
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.
This role involves designing, building, and maintaining scalable data pipelines and cloud-based data infrastructure on AWS, with a focus on Python development and Infrastructure as Code. The engineer will work on automated data acquisition, transformation, and containerised analytics applications within a multidisciplinary government team. The position supports public-interest projects and emphasizes reproducible, high-quality data solutions.
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.
This role involves building data pipelines and robust metric frameworks to improve customer success measurement across international markets. You'll create scalable dashboards, conduct deep-dive analysis on customer journey pain points, and leverage Gen AI to automate insights and replace manual workflows. The position emphasizes cross-functional collaboration, experimentation, and data-driven storytelling to enhance customer experience and operational performance.
This role involves transforming reporting, building behavioural analytics, and working across the entire customer lifecycle. You will collaborate with engineering to develop data pipelines, create user-friendly dashboards, and conduct deep-dive analytics to improve customer journeys and operational efficiency. The position also focuses on leveraging AI tools for automation and supporting A/B testing.
This role involves building and maintaining secure data pipelines for a UK public sector programme, with a focus on data ingestion, transformation, and curation. The engineer will work within Agile teams to develop robust data integration solutions on modern cloud platforms, supporting digital transformation and AI initiatives. The position requires collaboration with product teams and adherence to engineering best practices in a regulated environment.
The Data Architect role involves taking over responsibility for an enterprise-level data architecture, focusing on Databricks and Azure Cloud. Key responsibilities include migrating customer data to cloud-based servers, designing data systems, and setting long-term data strategy.
This role involves leading the final stages of a migration from a legacy data warehouse to Microsoft Fabric, with responsibilities including testing data outputs, debugging discrepancies, and implementing fixes. Post go-live, the engineer will build data pipelines and support ongoing development and reporting needs. The role requires hands-on technical delivery within a modernising data environment.
Design and build data pipelines to migrate and integrate data from diverse sources like Oracle, SharePoint, and Informatica into Azure Data Lake and Datab游戏副本ricks. Focus on establishing scalable ingestion patterns and improving data engineering maturity in a developing Azure environment, with strong collaboration across technical and business teams.
Design and build scalable data pipelines to migrate and integrate data from diverse legacy and enterprise systems into Azure Data Lake and Databricks. Focus on ETL/ELT development, source system integration, and data transformation within a maturing Azure environment. Collaborate with stakeholders to define patterns and improve data engineering standards.
Lead a team of data engineers while remaining hands-on with modernising a cloud-based data platform centred on Databricks and Spark. Design and maintain scalable data pipelines and lakehouse architectures, collaborating closely with data science, BI, and technology teams. Drive engineering best practices and support Agile delivery within a large-scale data transformation programme.
Design and maintain enterprise data architecture for a major nuclear energy project, focusing on data domains, models, and integration within Microsoft Azure. Collaborate across architecture, IT, and delivery teams to ensure alignment with business capabilities and technology components. Work with tools like ArchiMate, BPMN, and Sparx Enterprise Architect in a complex infrastructure environment.
