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 designing and implementing modern, cloud-native data platforms using Databricks and AWS, with a focus on data mesh principles and scalable data architectures. You'll lead the development of batch and real-time data pipelines, build Medallion Architecture-based data lakes, and enable self-service analytics for enterprise clients. The position emphasizes technical leadership in data engineering best practices and transformation from legacy systems to advanced cloud ecosystems.
As a Senior Data Engineer, you will build and maintain scalable data pipelines using Databricks, Apache Spark, and Azure. You will collaborate with Data Scientists, Analysts, and Product teams to deliver high-impact data solutions, drive best practices, and optimize cloud costs.
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 leading a team of account executives in the Energy & Utilities sector, focusing on achieving sales quotas, expanding business, and delivering accurate sales forecasting. The position requires experience in high-growth enterprise software sales, particularly in the Data, AI, Cloud, or SaaS industries, and a strong network within the Energy sector.
This role leads the go-to-market strategy for Databricks in the EMEA financial services sector, focusing on Banking, Capital Markets, and Insurance. The individual will shape vertical-specific growth plans, drive C-level relationships, and act as a thought leader through content and industry events. They will work cross-functionally to enable sales, develop partner strategies, and ensure Databricks' security positioning meets financial services requirements.
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, 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 leading an Agile engineering team to deliver secure and scalable Azure infrastructure. Responsibilities include hands-on platform engineering, sprint planning, quality assurance, and mentoring engineers. The position requires strong Azure platform engineering skills, experience with Azure Databricks, and current SC clearance.
This role involves designing, building, and enhancing a secure, scalable Databricks data platform, developing data pipelines, and contributing to platform architecture and best practices. You will work closely with Product, Analytics, and Data Science teams to deliver effective data solutions and support platform operations.
This role involves designing and building data solutions using Microsoft Fabric and Azure, developing and maintaining ETL/ELT pipelines, and working with tools like Azure Data Factory, Databricks, and Power BI. The focus is on large-scale data projects and ensuring strong data quality and governance.
This role involves designing, building, and maintaining scalable data pipelines using Databricks, PySpark, Spark SQL, and Delta Lake. You will shape the enterprise data architecture, optimize ETL/ELT processes, and mentor a junior engineer while partnering with various stakeholders to solve business challenges.
This role involves designing, building, and maintaining scalable data pipelines using Databricks, PySpark, Spark SQL, and Delta Lake. You will shape the enterprise data architecture, optimize ETL/ELT processes, and mentor a junior engineer while partnering with various stakeholders to solve business challenges.
This role involves designing and maintaining data pipelines to support business-critical decision-making within a retail organisation. You'll work with Python and SQL to build robust ETL processes, improve data quality, and enable reliable reporting. The position is based in Coventry with a 4-day onsite hybrid model, embedded within a collaborative team focused on advancing data capabilities.
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 hands-on support, maintenance, and scaling of a modern Azure-based data platform. Responsibilities include monitoring, troubleshooting, incident management, and improving automation and documentation, working closely with architecture, security, and infrastructure teams.
