6 of 6 Change Data Capture Jobs in the UK excluding London

Data and AI Consultant We are looking for a technical implementer to build designs on the project. The architecture, analytics strategy, governance framework, and client-facing expertise will be provided. This candidate will executes the vision.The proposal is to build three production-quality POCs that demonstrate the technical leadership in; data modernisation, AI-powered insights, and systems integration. … This is for one senior data engineer to build three flagship demonstrations Real-time Azure-to-AWS migration showcase (client-ready demo) AI-powered email intelligence system with natural language querying Document validation integration POC with working … interface Essential skills Cloud Data Engineering: AWS (Aurora, DMS, Lambda, Kinesis), Azure Data Factory Real-time Streaming: Apache Kafka, AWS Kinesis, change data capture (CDC) Vector Databases: Pinecone, Weaviate, or Chroma etc. with LangChain integration API Development: RESTful services, third-party integrations Production Systems: Enterprise-grade monitoring, error handling, cost optimisation Outside IR35 Fully Remote More ❯

extensive experience in designing, implementing, and optimizing database solutions in a microservices-based environment. As a member of our team, you will contribute to the full lifecycle of our data persistence layer, from schema design and performance tuning to ensuring robust replication, disaster recovery, and seamless integration within our cloud-native microservice ecosystem. Responsibilities: Design & Develop Database Solutions: Architect … design, and implement highly optimized relational (e.g., MySQL, PostgreSQL, AWS Aurora, SQL Server) and NoSQL (e.g., MongoDB, DynamoDB, Redis) database schemas, ensuring data integrity, performance, and scalability for microservices. Performance Optimization & Tuning: Proactively analyze and optimize complex queries, implement efficient indexing strategies, and manage partitioning/sharding to ensure peak database performance and handle high throughput. Reliability & Disaster Recovery … in English spoken and written Nice-to-Haves: Experience with ETL/ELT pipeline design and tools (e.g., Apache Airflow). Familiarity with Change Data Capture (CDC) solutions. Knowledge of database services on other cloud platforms (e.g., Azure SQL Database, Google Cloud Spanner). Understanding of ORM frameworks (Entity Framework, Dapper, SQLAlchemy, Hibernate) from a database performance More ❯

extensive experience in designing, implementing, and optimizing database solutions in a microservices-based environment. As a member of our team, you will contribute to the full lifecycle of our data persistence layer, from schema design and performance tuning to ensuring robust replication, disaster recovery, and seamless integration within our cloud-native microservice ecosystem. Responsibilities: Design & Develop Database Solutions: Architect … design, and implement highly optimized relational (e.g., MySQL, PostgreSQL, AWS Aurora, SQL Server) and NoSQL (e.g., MongoDB, DynamoDB, Redis) database schemas, ensuring data integrity, performance, and scalability for microservices. Performance Optimization & Tuning: Proactively analyze and optimize complex queries, implement efficient indexing strategies, and manage partitioning/sharding to ensure peak database performance and handle high throughput. Reliability & Disaster Recovery … in English spoken and written Nice-to-Haves: Experience with ETL/ELT pipeline design and tools (e.g., Apache Airflow). Familiarity with Change Data Capture (CDC) solutions. Knowledge of database services on other cloud platforms (e.g., Azure SQL Database, Google Cloud Spanner). Understanding of ORM frameworks (Entity Framework, Dapper, SQLAlchemy, Hibernate) from a database performance More ❯

with natural language querying Document Validation POC - including interface and full integration Key Skills Required Cloud Data Engineering: AWS (Aurora, DMS, Lambda, Kinesis), Azure Data Factory Streaming & CDC: Apache Kafka, AWS Kinesis, change data capture AI/Vector Search: Pinecone, Weaviate, or Chroma with LangChain API Development: RESTful services, 3rd-party system integrations Production Standards More ❯

Data Engineer/Data Engineering/Lakehouse/Delta Lake/Data Warehousing/ETL/Azure/Azure Databricks/Python/SQL/Based in the West Midlands/Solihull/Birmingham area (1 day per week), Permanent role, £50,000 70,000 + car/allowance + bonus. One of our leading clients is … looking to recruit a Data Engineer Azure/Python. Location Hybrid/West Midlands (Birmingham/Solihull) Permanent role Salary £50,000 70,000 + car/allowance + bonus … Experience: Experience in a Data Engineer/Data Engineering role Large and complex datasets Azure, Azure Databricks Microsoft SQL Server Lakehouse, Delta Lake Data Warehousing ETL CDC Stream Processing Database Design ML Python/PySpark Azure Blob Storage Parquet Azure Data Factory Desirable: Any exposure working in a software house, consultancy, retail or retail automotive sector More ❯

Lead Data Engineer | Enterprise Retail Tech | Newcastle – Hybrid Salary & Benefits - £70,000 to £85,000 + 34 days annual leave, health, cycle to work, staff discounts A cutting-edge retailer at the intersection of tech and luxury fashion is on the hunt for a Lead Data Engineer to spearhead its growing data platform strategy. The company—one … UK's fastest expanding—offers a dynamic, digitally driven environment where innovation is the heartbeat of everything they do.This is your chance to own and evolve an enterprise-scale data ecosystem, with Fabric at its core, and help shape the next generation of insight delivery for a global audience. What You’ll Tackle Leading a new in-house Data … capabilities Experience: Solid experience architecting and delivering solutions using Microsoft Fabric Proven leadership in growing and mentoring high-performing data teams Advanced knowledge of data integration strategies (CDC, APIs, ELT) and fabric-native tools Strong understanding of Power BI, Synapse, and Dynamics 365 integration Experience maintaining cloud data platforms (Azure preferred) Hands-on proficiency with SQL Server More ❯