3 of 3 Change Data Capture Jobs in Central London

Position: Data Modeller Location: London, UK (Hybrid-2 days from office) 6 months contract position The Role In this role, you will define the data blueprints and foundational models that underpin how customers in dynamic, data intensive industries operate, scale, and innovate. You will design robust, future … pipelines. Optimise models for performance and cost (partitioning, clustering, indexing, compression, surrogate keys, distribution strategies). Drive data integration design across sources (CDC, event streaming, APIs), mapping source-to-target, resolving conflicts, and handling historical changes. Support AI/ML readiness by modelling features, aggregations, and histories; collaborate ...

methods, and data transfer protocols. Design the DSFS integration architecture (D06b), including Salesforce API usage, AWS RDS connectivity, and MongoDB extraction patterns. Define CDC configurations for near real-time data feeds, specifying change tracking mechanisms. Specify Talend job designs for on-premises Oracle source extraction and cloud … covering both batch and real-time patterns. Experience with Salesforce integration: APIs (REST, Bulk, Streaming), platform events, and data replication patterns. Knowledge of CDC mechanisms: database log-based CDC, trigger-based CDC, and timestamp-based extraction. Experience with Talend or equivalent ETL tooling for on-premises source extraction. Familiarity ...

conventions) Lead platform engineering and infrastructure delivery (IaC, networking, security, environment setup) Oversee migration of ~8–10 enterprise databases into AWS using DMS and CDC patterns Ensure migration pipelines are scalable, automated, and resilient Enable event-driven and batch data pipelines (S3, Lambda, orchestration) Ensure data lineage, cataloguing …/networking, DMS Proven experience with Infrastructure-as-Code (Terraform) and CI/CD pipelines Experience delivering large-scale data migrations, including CDC approaches Strong Python and SQL skills Understanding of data platforms (e.g. Snowflake/CDP) and ingestion pipelines Exposure to AI/ML enablement frameworks (.e.g ...