3 of 3 Integration Patterns Jobs in the East Midlands

join our Data & Analytics team, supporting the delivery of seamless data integrations across our platforms and systems. We are seeking an experienced Data Integration Engineer who will support the design, development and maintenance of data connections that help power our business systems. The Role As we continue to evolve … motivated and detail-oriented individual with experience in building and maintaining reliable integrations across enterprise systems. You will design, develop, and support integration services that ensure seamless communication between business applications. Working closely with system owners, developers and analysts, you’ll take ownership of integration workflows, ensure testing ...

Power BI, and Dynamics 365 integrations. Main Duties and Responsibilities: Data Strategy & Advisory Data Governance & Quality Data Analytics & Insights Data Management & Warehousing ETL & Data Integration Data Architecture & Engineering Knowledge and Experience * 5+ years' strong experience in data analytics, engineering, or business intelligence within a consultancy or technology services environment … modelling, warehousing, and relational database design * Experience designing and delivering cloud-based data solutions, particularly within Microsoft Azure * Knowledge of ETL processes and data integration across multiple systems * Experience integrating Microsoft technologies (e.g., Dynamics 365, Azure Data Services, Power BI) with third-party platforms * Understanding of data governance, security ...

Data Storage), Spark, and Databricks Strong knowledge of data modelling, database design, and enterprise data architecture Experience with ETL/ELT frameworks and data integration patterns using Python or PySpark Experience with structured and semi-structured data, preferably in life sciences (e.g., omics, health records) Ability to translate … research Document solutions comprehensively, understanding data, technical, and business process levels Implement data engineering best practices to standardize development processes Design and maintain data integration frameworks for multiple sources (e.g., lab systems, registries, practice management systems) Ensure high-quality data delivery to researchers and maintain data dictionaries ...