5 of 5 ETL Jobs in Glasgow

Reporting tools: Aqua scan, Checkmarks, SonarQube, Datadog, Soda, SSRS, etc. Cloud: Azure, AWS (S3) basic Others: REST APIs, ElasticSearch, New Relic, CI/CD, ETL, Swagger, Postman, Rancher, Data Analytics, ML Models, GitHub Copilot, Jira and Confluence. Need Hands on AI skills. Key Responsibilities Full Stack Development: Build and maintain ...

Ability to identify and implement opportunities for product differentiation. Passion for mentoring and developing high-performing teams. Technical experience with data systems such as ETL, Spark, Databricks, or Snowflake. If you’re ready to make an impact and help shape the future of Post Trade Technology, we invite ...

Ability to work independently and manage workloads in a structured project environment Desirable: Experience with Microsoft SQL Server and application server administration Exposure to ETL design and data architecture Knowledge of data protection and information security standards Experience working across complex, multi-site data environments Relevant certifications in Oracle ...

Google Deployment Manager) and DevOps practices, and familiarity with networking, security and identity management for AI Use Cases. Modern Data Patterns: Solid understanding of ETL/ELT processes and modern architecture patterns such as Data Mesh and Data Fabric. Migration & Transformation: Experience migrating legacy systems to cloud-native data stores. … Data Academy and AI upskilling programs. Opportunity to lead high-visibility, cutting-edge client engagements in the data & AI space, shaping how organisations extract value from data. Flexible working, comprehensive benefits and a culture of collaboration, innovation and growth. The chance to step into a leadership journey, influencing strategy and ...

Transformation team alongside the wider SPEN business data & technology functions • Strong experience enabling interoperability across systems (e.g. SAP, GIS) using integration patterns, APIs, and ETL/ELT pipelines • Develop a way of working with business architecture, solution architecture and external vendors to ensure compliance to defined data models Requirements • Significant … models, standards, and master data structures aligned to business needs • Strong experience enabling interoperability across systems (e.g. SAP, GIS) using integration patterns, APIs, and ETL/ELT pipelines • Experience establishing effective data governance frameworks, including ownership, quality controls, and aligned Asset Information Models ...