4 of 4 Remote/Hybrid ETL Jobs in Newcastle upon Tyne

months. It is also fully remote. Key Responsibilities • Design, develop, and maintain batch and streaming data pipelines using Databricks (Apache Spark) • Build and optimize ETL/ELT workflows for large-scale structured and unstructured data • Implement Delta Lake architectures (Bronze/Silver/Gold layers) • Integrate data from multiple sources ...

data pipelines and analytics solutions on the Azure cloud platform. The ideal candidate will have hands-on expertise across Azure data services, data modeling, ETL/ELT development, and collaborative engineering practices. Key Responsibilities * Design, develop, and maintain scalable data pipelines using Azure Databricks (Python, PySpark, SQL). * Build and … optimize ETL/ELT workflows that ingest data from various on-prem and cloud-based sources. * Work with Azure services including Azure Data Lake Storage, Azure Data Factory, Azure Synapse Analytics, Azure SQL, and Event Hub. * Implement data quality validation, monitoring, metadata management, and governance processes. * Collaborate closely with data ...

and Order to Cash Hands-on experience with SAP ECC and SAP S/4HANA environments Proven experience designing integrations using APIs, middleware, and ETL approaches Familiarity with SAP BTP, CPI, and enterprise integration best practices Experience with LeanIX, Draw.io, or similar architecture tooling Excellent stakeholder management, communication, and facilitation ...

Real Time Monitoring and Predictive AI Key responsibilities: Design and maintain scalable data pipelines. Structure, transform, and optimize data in Snowflake. Implement multi-source ETL/ELT flows (ERP, APIs, files). Leverage the AWS environment, including S3, IAM, and various data services. Prepare data for Data Science teams and … services including S3, IAM, Glue, and Lambda. Languages: Advanced SQL and Python for data manipulation, automation, and ML integration. Data Engineering: Proven experience in ETL/ELT pipeline design. AI/ML Integration: Ability to prepare data for model training and deploy AI models into production workflows (batch or real ...