Latest UK roles, updated daily.
This role involves designing and implementing robust data integration solutions, building and operating data pipelines, and collaborating with product teams and stakeholders. The engineer will support incident resolution, contribute to Agile ceremonies, and mentor colleagues within a DevOps environment.
The CRM Data Engineer will manage, integrate, and migrate customer data across multiple systems, ensuring data quality and consistency. Key responsibilities include developing Oracle-based solutions, designing data migration processes, and working with business stakeholders to translate requirements into technical solutions.
This role involves designing and building analytics-ready data models, enabling self-service reporting, and delivering trusted datasets to support strategic business decisions. You will work closely with stakeholders to translate business requirements into robust data solutions, using SQL and cloud data platforms like GCP/BigQuery.
This role involves designing, building, and maintaining scalable data pipelines, developing data models and reports, and improving data quality and performance. You will work closely with product and engineering teams, support data governance, and help shape the company's data architecture.
This role involves designing and maintaining scalable data pipelines, developing data models and analytical datasets, and ensuring data quality and governance within a SaaS platform. The engineer will work across the full data lifecycle, collaborating with product and engineering teams to shape data architecture and support large-scale data processing. The position offers technical ownership and influence over the evolution of a modern, cloud-based data stack.
As a Specialist Solutions Architect, you will guide enterprise customers through the architecture, administration, and security of their Databricks deployments on AWS, Azure, or GCP. You will architect secure, scalable deployments, lead technical discussions, and influence product direction based on customer feedback.
This role involves guiding enterprise customers through the full lifecycle of Databricks deployments on AWS, Azure, or GCP, with a focus on secure, scalable architecture and cloud infrastructure. The engineer acts as a technical specialist in identity management, networking, and infrastructure-as-code, supporting pre-sales and competitive positioning through custom solutions. They collaborate with cross-functional teams and influence product direction based on customer feedback.
Design and maintain data pipelines and corporate data models on a Microsoft Azure-based BI platform, integrating data from multiple source systems to support reporting and analytics for children and families services. Develop Power BI dashboards and enable self-service data access for operational and senior stakeholders. Work within a transformation programme to improve data quality, governance, and performance across the local authority.
This role involves designing, building, and delivering backend services and APIs to support a new AI layer in an investment management firm's technology platform. You will work closely with a frontend engineer to integrate AI capabilities, ensure data security, and iteratively release and improve the product based on user feedback.
This role involves leading technical pre-sales and solution design for AI and data services in the pharmaceutical sector. The specialist will engage directly with clients to understand their data integration needs, build rapid proofs of concept, and translate complex data capabilities into actionable solutions using APIs, Snowflake, and MCP. Success is measured by owning key client engagements, delivering fast-paced demonstrations, and shaping product roadmaps based on real-world feedback.
This role involves collaborating with sales teams and customers to demonstrate Snowflake's data platform, translating technical capabilities into business solutions. The Senior Solution Engineer leads technical discussions, designs data architectures, and supports proof-of-concept initiatives. They stay ahead of evolving data and AI technologies to position Snowflake effectively against competitors and help shape product direction through feedback to engineering and product teams.
This role involves designing and developing secure, scalable backend services and APIs for fraud detection and data integrity. You will work with Scala, Play Framework, SQL, AWS, and CI/CD practices, collaborating with product owners and contributing to incident resolution.
AWS Data Engineer - Contract (Outside IR35)Location: OxfordWorking Patterns: Hybrid - 2 days on site, per weekContract Duration: 6 months, extension likelyOpus have partnered with a leading manufacturer who're seeking an experienced AWS Data Engineer to help to design, build...
Senior AWS Data Engineer (Fixed Term Contract)When registering to this job board you will be redirected to the online application form. Please ensure that this is completed in full in order that your application can be reviewed.We’re looking for a...
This role involves designing, building, and maintaining scalable data pipelines using Databricks, Python, and SQL. You will support cloud migration initiatives, integrate data from enterprise systems, and ensure high data quality and security in a highly regulated banking environment.
