Latest UK roles, updated daily.
This role involves designing and implementing complex data flows, building robust data models, and developing cloud-based data infrastructure using GCP, BigQuery, Dataform, and Airflow. You'll work closely with developers, analysts, and other data professionals to ensure strong data quality and governance.
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 leading technical strategy for customers, designing scalable data and AI solutions on the Databricks platform, and acting as a trusted advisor through architecture discussions and proof-of-concept development. The position requires deep expertise in distributed data systems, cloud platforms, and real-time analytics, with a focus on driving platform adoption and influencing product direction through customer feedback.
This role focuses on leading enterprise data warehouse migrations from legacy systems to the Databricks Intelligence Platform. The Senior Solutions Architect will design technical go-to-market strategies, develop scalable migration frameworks, and act as a top-tier technical advisor for complex customer transitions across EMEA. Key responsibilities include building automated assessment tools, mentoring regional teams, and bridging field feedback into product development.
This role involves designing and developing technology solutions for global trade and transaction reporting. Responsibilities include building regulatory reporting applications, data pipelines, and systems that support global standards, as well as investigating reporting exceptions and optimizing data processing frameworks.
This role involves developing and supporting data pipelines and ETL solutions using Python, Azure, and SQL. You will work in a hybrid environment, primarily in the office, with a focus on hands-on software engineering, data engineering, and SRE/DevOps tasks.
This role involves hands-on KDB+ and Python development, building and optimizing data pipelines for financial data in a high-performance banking environment. The position offers opportunities to work with large datasets and enhance technical skills in a hybrid work setting.
As a Senior Data Engineer, you will design, build, and optimize scalable data pipelines and ETL/ELT processes using Microsoft Fabric and Azure technologies. You will work closely with stakeholders to deliver high-quality data solutions, ensure data quality and security, and mentor junior team members.
This role involves designing, developing, and maintaining data solutions, reports, and dashboards using Microsoft Power Platform, .NET, and SQL Server. You'll work closely with technical teams and business stakeholders to translate requirements into effective technical solutions, streamline processes, and deliver meaningful insights.
This role involves leading the design and development of analytics-ready data models and transformation pipelines within a Databricks Lakehouse environment. Responsibilities include maintaining KPI definitions, ensuring data quality, and working closely with Data Architects, BI Developers, and business stakeholders to translate requirements into effective data solutions.
This role involves leading the migration of legacy Microsoft Access databases to a modern database system. Responsibilities include auditing existing schemas, designing a new database architecture, writing ETL scripts in Node.js, and developing APIs to serve the data to applications.
This role involves developing and maintaining data solutions within Azure, supporting enterprise service integration, operational reporting, and data-driven decision-making. You will work closely with service architects, management teams, and technical stakeholders to ensure data accuracy, security, and alignment with enterprise service delivery requirements.
This role involves designing and implementing backend security guardrails for AI workflows, building and deploying enterprise-level generative AI and ML solutions, and integrating user interfaces. The position also requires working with cloud infrastructure and data pipelines using AWS and Azure.
