7 of 7 Contract Change Data Capture Jobs in England

Role/Job Title: Data Engineer Work Location: Norwich-3 Days (Flexible) Duration of Assignment: 6 Months The Role Hands on experience to Design & Develop a ETL pipelines in aws Glue for ingesting data from sql server or other sources Hands on experience on PySpark & Python Experience … implementing change data capture pipelines using aws dms for near-real time or batch ingestion Experience of developing incremental loads Glue job pipelines Experience of building or using reusable glue templates Strong SQL skills (joins, subqueries, window functions) Knowledge in dbt coding for data pipelines/ ...

Title: Senior Data Engineer Work Model: Hybrid (3 Days Week) Location: Coventry, UK Role Description The Senior Data Engineer is responsible for designing, building, and maintaining scalable, high performance data platforms on Microsoft Azure. The role involves leading the development of secure, reliable, and efficient data … from various structured and unstructured sources. Develop and optimize data models and data transformations within Azure Synapse Analytics. Implement incremental loads, CDC, and real-time data ingestion when needed. Architect and manage datasets in Azure Data Lake Storage (ADLS Gen2). Optimize data storage ...

Customer 360 (e.g., Reltio/Informatica/Semarchy): match/merge, survivorship, stewardship, integrations. Data integration: APIs/events, batch/streaming ingestion, CDC, lineage. Data engineering: data lake/lakehouse, orchestration (Airflow/MWAA), ETL/ELT (e.g., Glue), DQ frameworks. Discovery services: BI/analytics … vendors, and data providers - ensuring SLA and contractual compliance. Solid technical delivery background across MDM/Customer 360, data integration (APIs, streaming, CDC), data engineering (lakehouse, ETL/ELT, orchestration), and BI/analytics platforms. Strong understanding of architecture alignment, data privacy/security (PII/ ...

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 ...

Role/Job Title: Data Engineer Work Location: Norwich-3 Days (Flexible) Duration of Assignment: 6 Months The Role Hands on experience to Design & Develop a ETL pipelines in aws Glue for ingesting data from sql server or other sources Hands on experience on PySpark & Python Experience … implementing change data capture pipelines using aws dms for near-real time or batch ingestion Experience of developing click apply for full job details ...

Lead PySpark Engineer As a Lead PySpark Engineer , you will design, develop, and optimise complex data processing solutions on AWS. You will work hands-on with PySpark, modernise Legacy data workflows, and support large-scale SAS-to-PySpark migration programmes. This role requires strong engineering discipline, deep data expertise, and the ability to deliver production-ready data pipelines within a financial services environment. Skill Profile: PySpark - P3 (Advanced) AWS - P3 (Advanced) SAS - P1 (Foundational) Key Responsibilities Technical Delivery Design, develop, and fix complex PySpark code for ETL/ELT and data-mart workloads. Convert ...

Your new company Working for a renowned financial services organisation Your new role Seeking a Data Engineer to help design and maintain scalable … batch and near-real-time ingestion pipelines, modernizing legacy ETL/ELT processes into Azure and Snowflake, and implementing best-practice patterns such as CDC, incremental loading, schema evolution, and automated ingestion frameworks. They build cloud-native solutions using Azure Data Factory/Synapse, Databricks/Spark, ADLS Gen2 ...