5 of 5 ETL Jobs in Reading

term sustainability. 5+ years of experience in data engineering (or 3+ years with strong Foundry depth). Key Responsibilities Implement batch, incremental, and streaming ETL/ELT workflows with reusable, production-ready components. Build and maintain high-quality, version-controlled data products aligned to business use cases. Work with federated ...

This is a non negotiable requirement Strong SQL skills and experience with reporting and visualisation tools. Understanding of data modelling, data warehousing and ETL processes. Strong analytical, problem-solving and communication skills. Ability to manage multiple priorities and handle confidential data responsibly. Experience with cloud data platforms such as BigQuery ...

paced environment. Strong understanding of modern data platforms and DataOps practices with exposure to Azure DevOps, Databricks, dbt Cloud, Azure data services, SQL, Python, ETL/ELT processes, job scheduling, monitoring, observability and deployment automation. Experience supporting production environments and service operations including monitoring, alerting, incident management, ticketing systems, release ...

/M365 (Configuration and Administration) Experience in SharePoint support - an added advantage Advanced SQL skills such as performance analysis, etc. Experience of Extract, Transform and Load type solutions Softer skills will include enthusiasm, the desire to be the best at what you do, to leave the customer smiling, and become ...

target orgs, covering data types, picklist values, record types, required fields, and validation rules. Design and maintain SQL Server staging databases and schemas to extract, cleanse, transform, and stage Salesforce data ahead of loading. Write, optimise, and test T‐SQL (stored procedures, views, ETL logic) to implement transformation and data … parent/child relationships and record ownership, preserving referential integrity through ID cross‐referencing (source ID to target ID) and correct load order. Extract and load data using appropriate tooling (e.g., Salesforce Data Loader, Bulk API, SSIS, Azure Data Factory, dbAmp, or equivalent) and manage error handling and re‐runs. ...