7 of 7 Contract Change Data Capture Jobs

responsible for moving critical data off the mainframe with zero surprises. Your responsibilities include designing robust Change Data Capture (CDC) strategies, ensuring accurate data landing and transformation, creating optimized data models, and executing a seamless cutover process. Your Responsibilities Design and implement CDC pipelines … using IBM CDC tools or equivalents, including subscription management, bookmarks, and replay strategies. Handle complex data encoding transformations, such as EBCDIC to UTF-8 and packed decimal conversions, with validation test suites. Utilize migration tooling for schema conversion and downstream analytics (Glue, Athena, Redshift), with infrastructure-as-code (Terraform ...

Details Role/Job Title: Data Architect Work Location: Warwick Mode of Working (Hybrid/Office-based): Hybrid If Hybrid, how many days are required in office? 3 day in week Role Overview The Principal Data Architect is responsible for defining enterprise-grade data architecture and solution … Profile Essential Skills/Knowledge/Experience Extensive Knowledge Cloud data platforms: Microsoft Fabric, Snowflake, Azure, Databricks Data integration, ETL/ELT, CDC, streaming, APIs, and messaging Data modelling (relational, dimensional, NoSQL) Data governance, security, privacy, and regulatory compliance Power BI, Azure ML, ML/ ...

systems and migrating data to modern cloud-based relational platforms. Youll be responsible for designing and delivering Change Data Capture (CDC) pipelines, ensuring accurate, low-risk data movement with zero-surprise cutovers. The role involves deep involvement across data modelling, integration architecture, validation, reconciliation … event-driven design. Key Responsibilities Design and operate CDC pipelines (IBM CDC, Precisely or equivalent) Migrate data from Db2/mainframe (z/OS) to PostgreSQL/Aurora Build Kafka-based integration pipelines and event-driven architectures Deliver dual-run migrations, cutover planning, rollback and reconciliation Perform logical ...

Mode of Working: Office based 5 Days in Office The Role Dev Sec Ops Engineer Role Overview We are seeking a highly skilled Senior Data Platform & Integration Engineer to design, develop, and optimize enterprise data solutions. The ideal candidate will have deep expertise in modern data platforms … Responsibilities Data Platform Management Design and implement solutions using Microsoft Fabric, Snowflake, CosmoDB, Databricks, MongoDB, and traditional RDBMS systems Data Replication & CDC Configure and manage Qlik Replicate and Oracle GoldenGate for real-time data synchronization Data Modeling Develop conceptual, logical, and physical models using ERStudio Integration ...

Principal Data Architect (Contract) We are recruiting for an experienced Principal Data Architect to lead the design and delivery of enterprise-scale cloud data platforms for a large, complex organisation. This is a hands-on architecture role with real ownership across data strategy, platform design, governance … cloud data platform implementations and migrations Define data governance, security, lineage, RBAC and compliance controls Oversee data pipelines, ETL/ELT, CDC, streaming and integrations Optimise performance and cost across platforms such as Snowflake and Azure Support analytics, reporting, ML and AI use cases ...

Lead Data Engineer - Pyspark/AWS/Python/SAS - Financial Sector As a Lead PySpark Engineer, you will design, develop, and fix complex data processing solutions using PySpark on AWS. You will work hands-on with code, modernising legacy data workflows and supporting large-scale … PySpark migrations. The role requires strong engineering discipline, deep data understanding, and the ability to deliver production-ready data pipelines in a financial services environment. Essential Skills PySpark & Data Engineering Minimum 5+ years of hands-on PySpark experience. SAS to Pyspark migration experience Proven ability to write ...

/LPG stores. Ontology and knowledge graph frameworks, reasoning tools, and production deployment experience. Data pipelines and entity work ETL/streaming or CDC pipelines feeding a knowledge graph. Entity resolution techniques, data cleansing, enrichment, and integration from many sources. Python + ML/NLP stack High quality ...