2 of 2 Data Engineering Jobs in Midlothian

is seeking an experienced Product Owner to become an integral part of our Agile development team. In this role, you'll drive the evolution and implementation of Finance and data products, ensuring high-quality, accessible, and trusted data that fuels analytics, machine learning, and personalised experiences. You will work cross-functionally to create data products that empower … teams across the business, from marketing to operations, and enable insight-driven decisions. Acting as the bridge between Finance business stakeholders, data scientists, analysts and engineers, you'll manage the Finance product backlog and ensure continuous delivery of capabilities that align with enterprise objectives. Acting as a liaison between stakeholders and the development team, you will translate the product … vision into a prioritised & actionable backlog that maximizes business value while ensuring to addresses customer needs. Qualifications Strong experience as a Product Owner or Data Product Owner in Agile environments. Ideally experience managing Finance and data products or platforms, ideally data warehouses (e.g. Snowflake, BigQuery), or data lakes. Familiarity with data modelling, data pipelines More ❯

Job Description: Your Impact As a Software Data Engineer, you will design, develop, deploy, and maintain data architecture which employs various methods to transform raw data into processed data. You will own the data operations infrastructure, manage and optimise performance, reliability, and scalability of the system to meeting growing demands on ingestion and processing pipelines. To … succeed in this data engineering position, you should have strong problem-solving skills and the ability to combine data from different sources. Data engineer skills also include familiarity with several programming languages. Key areas of responsibility. Orchestration ingestion and storage of raw data into structured or unstructured solutions. Design, Develop, Deploy and Support data infrastructure, pipelines and architecture. Implement reliable, scalable, and tested solutions to automate data ingestion. Development of systems to manage batch processing and real-time streaming of data Evaluate business needs and objectives. Facilitate pipelines, which prepare data for prescriptive and predictive modelling. Working with domain teams to scale the processing of data. Combine raw information from More ❯