2 of 2 Data Pipeline Jobs in Street

will play a key role in ensuring that critical business services have the capacity and resilience to meet regulatory and operational demands. You will focus on developing robust data pipelines and solutions that support capacity monitoring, reporting, and forecasting across complex IT environments. Role Overview: Develop ETL processes to extract and normalise capacity data from infrastructure … sources. Automate data ingestion and processing into SQL Server databases. Normalising raw infrastructure and monitoring data into structured formats suitable for graphing and trending Collaborate with DBAs and technical teams to ensure transparency and supportability. Build data flows that support capacity reporting and trending, using modern technologies. Skills & Experience Required: 3+ years' experience in … ETL/data processing roles. Proficiency with ETL tools, SQL Server, RESTful APIs. Experience working with infrastructure data (e.g., Nutanix, VMware, Dell EMC desirable). Scripting experience in Python, SQL (T-SQL), Excel VBA. Knowledge of data optimisation, large datasets, JSON/XML formats. Experience of setting up SQL DTSS and Control/M More ❯

ETL Application Developer Capacity Management & Data Engineering 6 month contract - Inside IR35 London - Moorgate tube Day rate to be confirmed Our leading bank client is seeking an experienced ETL Application Developer to join their technology resilience and capacity management team. This is a contract opportunity based in London. As an ETL Application Developer, you will play a key … role in ensuring that critical business services have the capacity and resilience to meet regulatory and operational demands. You will focus on developing robust data pipelines and solutions that support capacity monitoring, reporting, and forecasting across complex IT environments. Key Responsibilities: Design, develop, and maintain ETL processes to collect, transform, and load capacity and infrastructure data from multiple sources. Collaborate with cross-functional teams and DBAs to ensure seamless data integration and delivery. Analyse and normalise raw infrastructure and monitoring data for reporting, trending, and predictive analytics. Develop and implement automated methods to forecast future capacity requirements using historical data. Support compliance with regulatory standards (including DORA) by providing accurate More ❯