This role involves designing, building, and operating secure, scalable AWS platforms. You will work hands-on with multi-disciplinary teams, support application and platform workloads, and contribute to continuous improvement of cloud platforms and delivery pipelines.
This role involves leading the modernisation of a financial services organisation's data platform, including architecture design, technology selection, and team management. Responsibilities include developing scalable data processing capabilities, building a customer data platform, and enabling secure, self-service data analysis through AI tools.
Lead the development and scaling of a company-wide data function, designing scalable data pipelines and enhancing the data warehouse and reporting environment. Drive automation, data governance, and adoption of AI-enabled analytics while supporting commercial teams with insights. Work across hybrid cloud environments and integrate diverse data sources in a high-growth consumer business.
This role involves leading the Data Hub engineering team, driving the delivery of a modern enterprise data platform, and shaping the company's data and AI strategy. Responsibilities include mentoring teams, owning technical decisions, and consolidating legacy systems into a scalable, governed environment.
This role involves designing and developing scalable ETL pipelines, building data solutions using Snowflake and Databricks, and improving data quality and governance. You'll work closely with technical teams and customers on critical MOD programmes, influencing data architecture and best practices.
This role involves leading the design and implementation of production-grade data and AI systems for enterprise customers using the Databricks platform. The Senior Architect will work hands-on to build end-to-end solutions, integrate ML/AI models, and deliver scalable architectures while collaborating closely with technical and executive stakeholders. The position emphasizes customer immersion, reusable asset development, and influencing product direction through real-world feedback.
As a Data Engineer, you will build and maintain data pipelines integrating various enterprise systems, transform raw data into clean datasets for BI and AI, and work closely with architects and analysts to design robust data models. This role offers hands-on experience with Azure and modern data tools, contributing to the company's technology transformation.
This role involves working with customers to build and productionize data and AI solutions using the Databricks platform. Responsibilities include leading architecture and design decisions, implementing end-to-end systems, and guiding strategic big data projects. The role requires strong technical skills in data engineering, cloud ecosystems, and MLOps, with a focus on customer success and project delivery.
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, developing, and maintaining scalable data pipelines using Python, Databricks, and PySpark. The Senior Data Engineer will work on complex data challenges, optimize data processing, and support enterprise data platforms in a modern cloud environment.
This role involves designing, building, and maintaining secure, scalable data solutions for a high-profile defence programme. You will work with modern data technologies, collaborate with multidisciplinary teams, and enjoy a condensed 3-day work week while being paid for 5 days.
This role involves maintaining and improving production data pipelines on Databricks and AWS, handling L2/L3 support, and ensuring reliable data processing. You will work on incident investigation, root cause analysis, and performance optimization, with a focus on Databricks, AWS, Python, and SQL.
This role involves designing, building, and optimizing scalable data pipelines using modern Microsoft technologies like Databricks, SQL, and Python. You will work closely with technical teams and business stakeholders to deliver robust data solutions, enhance data quality, and drive best practices in a growing Data & Innovation team.
This Senior Data Engineer role involves building, integrating, and transforming data to support business intelligence and strategic growth. You will own the data lake, develop integrations, and work closely with the Finance and Commercial teams to shape the future of the data platform, particularly with the migration to Microsoft Fabric.
This role involves hands-on data engineering tasks and L2/L3 production support for a large-scale government project. Responsibilities include maintaining and improving data pipelines on Databricks and AWS, resolving incidents, and ensuring reliable data processing.
This role involves designing, developing, and maintaining reliable data pipelines and processes to support sports analytics and performance activities. You'll work closely with Data Scientists, manage Databricks environments, and integrate various performance data sources, taking ownership of data engineering challenges and contributing to the organisation's data strategy.
