3 of 3 Remote Data Integration Jobs in Sheffield

Senior Data Engineer, Databricks (Mid Level roles also available), £ 50000 - 65000 + benefits. SQL Performance Tuning, Databricks. Home Based with one day a month at the office in Nottingham. Strong commercial knowledge of Databricks is required for this role. Knowledge of the finance sector or energy sector is an advantage. Expanding SaaS product company are looking for a number … of Data Engineers as they continue to grow. In these hands-on roles you will be part of the team responsible for designing, creating, deploying and managing the companies data assets and you will guide and influence other members of the data engineering team with the ultimate goal of writing excellent quality, clean and high performant code. … Responsibilities include - Work with the Data Architects and Data team to determine technical delivery and functionality. Design data solutions based on optimal performance, scalability and reliability. Create, optimise and maintain logical and physical data models, including data warehouses and data lakes. Design and manage the data integration process. Work with the team More ❯

Senior Data Engineer, Databricks (Mid Level roles also available), £ 50000 - 65000 + benefits. SQL Performance Tuning, Databricks. Home Based with one day a month at the office in Nottingham. Strong commercial knowledge of Databricks is required for this role. Knowledge of the finance sector or energy sector is an advantage. Expanding SaaS product company are looking for a number … of Data Engineers as they continue to grow. In these hands-on roles you will be part of the team responsible for designing, creating, deploying and managing the companies data assets and you will guide and influence other members of the data engineering team with the ultimate goal of writing excellent quality, clean and high performant code. … Responsibilities include - Work with the Data Architects and Data team to determine technical delivery and functionality. Design data solutions based on optimal performance, scalability and reliability. Create, optimise and maintain logical and physical data models, including data warehouses and data lakes. Design and manage the data integration process. Work with the team More ❯

complex decisioning strategies using Pega CDH, including Next-Best-Action (NBA) frameworks, real-time containers, and adaptive models. * Business to Technical Translation: Collaborate with business stakeholders, product owners, and data scientists to translate customer engagement goals and business requirements into effective and scalable decisioning frameworks. * Defining Policies & Rules: Define and implement engagement policies, arbitration rules, and predictive models to … optimize customer interactions across various channels. * Data Integration: Ensure seamless integration with enterprise systems, including CRMs, data warehouses, marketing platforms, and third-party tools to support the decisioning engine. 2. Hands-on Configuration & Implementation (Technical Execution): * Decisioning Artifacts: Be responsible for the end-to-end build, unit testing, and deployment of Pega decisioning artifacts, such as … configuring arbitration, taxonomy, and strategies. * Model Management: Work hands-on with Pega's Adaptive Decision Manager (ADM) and Prediction Studio to create, monitor, and optimize adaptive and predictive models. * Data Flows & Sets: Develop and configure data flows, data sets, and data transform rules to support the decisioning and reporting requirements. * Troubleshooting & Performance: Actively participate in performance More ❯