18 of 18 Change Data Capture Jobs in London

Head of Data & Analytics Department: Technology Reporting to: Chief Technology Officer (CTO) Location: London (Hybrid) Client My client is a rapidly growing UK fintech providing innovative consumer lending solutions through proprietary technology. As an FCA regulated business, data sits at the heart of everything we do—from customer … hands-on with the technical implementation of the data platform. Responsibilities include: Designing ETL and ELT pipelines Change Data Capture (CDC) AWS Database Migration Service (DMS) Amazon Redshift optimisation SQL performance tuning Data pipeline monitoring Automation Data lifecycle management AWS Data Platform ...

Group:Trading JobsWorker Type:RegularPosting Start Date:August 7, 2026Business Unit:Trading and SupplyExperience Level: Experienced ProfessionalsJob Description: What’s the roleAs a Lead Data Product Manager, within the Shell Energy Chief Data Office (CDO) organisation, you will own the business-led data product strategy, acquisition design … adoption outcomes that engineering teams can execute.Strong product and technical judgement across modern data platforms, ingestion patterns, APIs, streaming/batch, schema management, CDC, metadata, lineage and data quality, with the ability to assess what good looks like.Experience leading cross-functional product delivery through Product Owners, architects, engineers ...

standards. You'll also develop and support integrations using modern technologies such as REST APIs, Platform Events and Change Data Capture (CDC), ensuring secure, scalable and high-performing solutions where integration is required. You'll leverage Azure DevOps to manage deployments across user stories, enhancements and defect … have extensive experience developing with Apex, Lightning Web Components (LWC), triggers, batch classes and Flows, alongside a solid understanding of the Salesforce security model, data model and platform configuration. Experience designing and implementing integrations using REST APIs, Platform Events, Streaming API and Change Data Capture ...

Salesforce estate. In this role, you'll design and implement integrations using REST APIs, Platform Events, Change Data Capture (CDC) and other modern integration patterns, ensuring secure, scalable and high-performing solutions. You'll analyse business requirements and translate them into robust technical designs, develop and configure … have hands-on experience with OmniStudio, including OmniScripts, FlexCards, DataRaptors and Integration Procedures. A strong understanding of REST APIs, Streaming API, Platform Events and Change Data Capture is essential, as is experience implementing eID&V solutions. Experience within banking or financial services would be highly advantageous ...

Senior Data Architect, Central London An exciting Senior Data Architect role with a salary of £75,000 to £90,000 and career progression opportunities for a permanent role based full-time in our Marylebone, London office. We are offering a fantastic opportunity for an experienced Data Architect … multi-environment estates with different operational characteristics. Experience with SQL replication (transactional and merge), and the operational realities of running it in production. CDC and change tracking experience for incremental load patterns. Experience working in a data-centric organisation with significant volumes of operational data ...

seeking a Senior Data Engineer to join our dynamic Tech teams. The ideal candidate is self-learning, problem-solving oriented individual with strong analytical thinking. You will be working as part of a team to build/develop/enhance and support SCOR Data ecosystem (SCOR Data Platform, Datawarehouses...), including but not restricted to Syndicate Data Hub. The Senior Data Engineer will promote good data hygiene across the Syndicate and wider SCOR group.As a leading global reinsurer, SCOR offers its clients a diversified and innovative range of reinsurance and insurance solutions and services ...

global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. About the Job you are considering: Join Capgemini’s Integration & Data (I&D) practice, where we Consult with Purpose, Continuously Evolve, and Architect Tomorrow . As a Data Architect , you will play a strategic … role in shaping and delivering enterprise data architectures for our Financial Services clients. You will lead the design of scalable, secure, and cloud-enabled data platforms that empower organisations to harness data as a critical business asset. Hybrid working: The places that you work from ...

global business.Reporting to the VP Analytics, and working collaboratively with Product Managers, Engineers, Analysts and Commercial Leadership, you will be accountable for modelling data to provide clean, accurate data to power both decision-making and the product itself. This involves transforming, testing, and validating data.This is a great … make an impact.What you will be doingDevelop, test, and maintain robust dimensional data models from diverse data sources, including first-party CDC data, data from third-party APIs, SFTPs, and other external data sourcesEnhance the efficiency and performance of data models, focusing on improving ...

DescriptionState Street Global Alpha Data Platform , lets you load, enrich and aggregate investment data. Clients’ will be able to manage multi-asset class data from any service provider or data vendor for a more holistic and integrated view of their holdings. This platform reflects State Street … years of experience servicing complex instruments for our global client base and our investments in building advanced data management technologies. Responsibilities include:Provide analysis and input into designs of Alpha Data Services platform to support a rapidly-growing business on a massive scale. Provide data solutions ...

Available: 1 Role Purpose We are seeking a highly experienced, hands-on Azure Databricks Platform Engineer/Architect to enhance and optimise an enterprise Data Platform. This role combines architecture, engineering, operational support and platform optimisation. The successful candidate must be capable of designing, configuring, developing, troubleshooting and improving … ingestion and transformation solutions using Python, PySpark, SQL and Delta Lake. Implement batch and incremental processing patterns, including Change Data Capture (CDC), schema evolution, reconciliation processes, data quality controls and error handling. Develop reusable integration frameworks for: REST APIs SaaS platforms Databases Files and object storage ...

Drive the future of analytics and data intelligence by designing architectures that turn raw data into actionable insights at scale. As a Senior Analytics Solutions Architect, you'll partner with customers to architect end-to-end analytics platforms from data lakes and lakehouses to real-time streaming … Concept — build prototypes demonstrating query performance, cost optimisation, and scalability for customer-specific analytics workloadsCreate reference architectures — develop reusable blueprints for streaming ingestion, CDC pipelines, data mesh, and governed data sharing patternsAdvise enterprise customers — translate BI, reporting, and advanced analytics requirements into scalable, cost-effective technical designsInfluence ...

rapid expansion of AI and automation, the future of work has never been more challenging for organizations. Beamery’s unique jobs, skills and tasks data platform helps organizations navigate these challenges and make more informed decisions across Talent Lifecycle Management. Our solutions power recruitment, mobility, upskilling, diversity, work architecture … storage (SQL/NoSQL): schema design, modelling at scale, and multi-tenant isolationBack-end engineering: Python (nice to have: Typescript/Node.JS)Pipelines: streaming, CDC, correctness, replayability, and evolution over timeData quality and observability: validation, testing, data contracts, monitoring, alerting, and incident responseInfrastructure as code and containerisation (Terraform, Kubernetes ...

internal BI — you partner with them and consume their definitions; you don't rebuild what they own.What you'll ownIngestion — event-driven and CDC streams, stream processing (e.g. Flink), batch, and file-based vendor feeds (SFTP/managed file transfer), landing data from Product Engineering services into the lakeThe … business, or a data-sharing product — not only an internal warehouseDeep experience moving high-volume data in production: event-driven and CDC ingestion, stream processing (Flink), batch, file-based feeds, schema evolution, backfillsStrong on schema registries and contracts (Avro/Protobuf, evolution, breaking-change handling across producers ...

platforms that safeguard the nation's financial system . The Bank of England, in partnership with Inspire People, is seeking a Lead Solution Architect - Data Analytics with strong enterprise and solution architecture experience, deep knowledge of cloud-based data platforms, and a track record of delivering complex data … TOGAF, Zachman) Broad knowledge of enterprise data technologies, including lakehouse and medallion architectures, legacy data platforms and data engineering (ETL, ELT, CDC) Experience working within large, complex or highly regulated organisations In return, you can expect a flexible working culture, including: Non-contributory career-average pension. ...

Engineering and Integration Design and build reliable ingestion and transformation pipelines using Python, PySpark, SQL and Delta Lake. Implement full and incremental ingestion, CDC where appropriate, schema evolution, reconciliation, error handling and data quality controls. Design reusable integration patterns for REST APIs, SaaS platforms, databases, files, object storage … identity, networking, security, secrets, monitoring and private connectivity Databricks SQL, Delta Lake and performance optimisation Python, PySpark and SQL Jobs/workflows, incremental processing, CDC and data quality REST/API and external data integration patterns FinOps, cost attribution, tagging, budgets, monitoring and operational support Experience and Candidate ...

DescriptionJob Title: Enterprise Data Platform Lead & SAP Supply Chain Reporting Product Owner Department: Life Sciences, VirtusaReports to: Client Partner, Life Sciences Role SummaryWe are seeking a high-caliber Enterprise Data Platform Lead & SAP Supply Chain Reporting Product Owner to drive the strategy, design, and execution of our enterprise … schema evolution standards, and deduplication logic.Pipeline & Integration Engineering: Oversee the creation of scalable ETL pipelines in Azure Data Factory (ADF), utilizing the SAP CDC Connector and ODP framework to ingest data from S/4HANA (CDS views) and BW cubes into the ingestion layers.Digital Product Ownership: Lead ...

/multi-entity data integration experience is directly relevant given the evolving company structure.)Full-stack data platform judgement. Comfortable across ingestion (CDC/replication from operational databases, event pipelines), transformation (dbt), and consumption (BI tools, reverse ETL, AI/agent access) — even where … customer data platform (CDP) and identity resolution across multiple event sources — directly relevant to unifying data across our portfolio companies.Experience with CDC/replication tools feeding a warehouse from an operational database (MySQL, Postgres)Experience with Looker/LookML or another BI semantic layer.Experience in e-commerce, ticketing ...

accelerate discovery and support innovation across the firm.Take the next step in your career.The roleG-Research is a fast-growing, software-driven organisation where data is at the heart of everything we do.We are looking for an experienced Database Platform Engineer to join our Data Services team. … with cloud-native and distributed SQL database, such as Aurora, YugabyteDB or TiDBKnowledge of data streaming and integration tools, including Kafka, Debezium and CDC pipelinesExperience with security and compliance in database environments, for example covering encryption, auditing and RBACFamiliarity with DataOps practices and collaboration with Data Engineering teamsWhy ...