19 of 19 ETL Jobs in Glasgow

tools to accelerate development and testing of data pipelines (e.g. GitHub CoPilot, Claude Code).Required qualifications, capabilities, and skillsProven experience in data management, ETL/ELT pipeline development, and large-scale data processing.Proficiency in SQL, Python, and PySpark, with experience in query optimization and performance tuning.Hands-on experience with data ...

analytics, data apps, AI and data science initiatives. The ideal candidate will have a deep understanding of data warehousing best practices, data modeling techniques, ETL/ELT processes, and cloud-based data platforms. The Data Architect will be a key partner in driving data-driven decisions and future-proofing Jazwares ...

based platforms (e.g. Snowflake, Databricks, Redshift).Semantic Layer: Design and implementation for governed reusable data views.Data Governance Tools: Collibra, Alation, Talend or equivalent.Expertise in ETL tools and processes (e.g., Apache NiFi, Talend, Informatica)Security: Data Privacy, Data Protection & Encryption frameworks & governanceEnterprise Architecture Frameworks: TOGAF, Zachman; familiarity with ITIL processes.Additional Helpful ...

data modelling, data architecture, and data quality management practices. Advanced proficiency in SQL and multi-faceted data modelling techniques. Experience designing and supporting ETL/ELT processes and end-to-end data pipelines. Familiarity with cloud-based data engineering and analytics ecosystems. You may be assessed on the key critical ...

Analytics & Data Skills:Proficiency in using analytics tools (e.g., Power BI, SQL, Python) for data transformation, visualization, and predictive modelling.Experience with data integration and ETL processes; familiarity with PMO systems like PRISM, Primavera and Aconex is a plus.Problem Solving & Insight Generation:Strong ability to interpret complex data sets, identify issues ...

tools such as ER/Studio, Erwin or Sparx EA Experience with Azure data services , particularly Azure Data Factory or Databricks Strong understanding of ETL, CDC, data integration and transformation Experience working in complex, agile and/or multi-vendor environments Strong communication and stakeholder management skills Experience within financial ...

deploying to and reasoning about containerised workloads in a managed K8s environment. Experience orchestrating pipelines with Dagster, Airflow, Prefect, or similar. Solid grasp of ETL concepts and production‐grade pipeline design. Beneficial Skills Interest in chemistry, life sciences, robotics, or manufacturing. Hands‐on experience with scientific data, chemical, biological ...

modern data engineering technologies Practical experience developing Production‐scale Cloud-native data engineering solutions in commercial environments Familiarity with Cloud Data engineering services (e.g., ETL, Glue, S3, Athena) and MLOps stack Ability to convey design choices and results clearly and communicate effectively to stakeholders of various backgrounds Preferred qualifications, capabilities ...

modern data engineering technologies Practical experience developing Production-scale Cloud-native data engineering solutions in commercial environments Familiarity with Cloud Data engineering services (e.g., ETL, Glue, S3, Athena) and MLOps stack Ability to convey design choices and results clearly and communicate effectively to stakeholders of various backgrounds Preferred qualifications, capabilities ...

modern data engineering technologies Practical experience developing Production-scale Cloud-native data engineering solutions in commercial environments Familiarity with Cloud Data engineering services (e.g., ETL, Glue, S3, Athena) and MLOps stack Ability to convey design choices and results clearly and communicate effectively to stakeholders of various backgrounds Preferred qualifications, capabilities ...

Build and evolve the serving layer - including graph and vector retrieval, GraphRAG, response assembly, and a Model Context Protocol endpoint consumed by downstream agents Extract and promote reusable components into a shared core library, reducing duplication across the platform's repositories Integrate with data sources and services across the firm … tool/function calling, Model Context Protocol), or platforms such as Bedrock or Azure OpenAI Experience with Databricks, MongoDB, or large‐scale extract, transform, and load/data integration workflows Knowledge of data governance, lineage, and entitlements concepts in an enterprise environment ABOUT US J.P. Morgan is a global leader ...

patterns (tool/function calling, Model Context Protocol), or platforms such as Bedrock or Azure OpenAIExperience with Databricks, MongoDB, or large-scale extract, transform, and load/data integration workflowsKnowledge of data governance, lineage, and entitlements concepts in an enterprise environmentJ.P. Morgan is a global leader in financial services, providing ...

migration cycles and strategy, aligned with project plan timelines, adopting best practice methodology for Workday Financials, covering all phases from data extraction, transformation, loading (ETL), validation, and reconciliation.Define data migration scope, objectives, and success criteria in alignment with programme goals and business requirements.Lead and manage the data migration team, providing ...

Build and evolve the serving layer — including graph and vector retrieval, GraphRAG, response assembly, and a Model Context Protocol endpoint consumed by downstream agents Extract and promote reusable components into a shared core library, reducing duplication across the platform's repositories Integrate with data sources and services across the firm … tool/function calling, Model Context Protocol), or platforms such as Bedrock or Azure OpenAI Experience with Databricks, MongoDB, or large-scale extract, transform, and load/data integration workflows Knowledge of data governance, lineage, and entitlements concepts in an enterprise environment #J-18808-Ljbffr ...

will shape the data strategy, collaborating across departments to create a robust data ecosystem. The ideal candidate brings deep expertise in data warehousing, modeling, ETL/ELT, and cloud platforms, and will partner with teams to enable reliable, high-quality data for decision making and future AI initiatives. #J ...

and SFTP integrations between internal applications and third-party platforms. Developing and supporting Microsoft Fabric Lakehouses, Warehouses, Dataflows and Data Pipelines. Designing and implementing ETL and ELT solutions that integrate data from SQL Server, APIs, CSV, Excel, JSON and XML sources. Collaborating with Data Architects, Solution Architects, Business Analysts, Project ...

required. The role offers the opportunity to work on every aspect of our internally built systems, which includes connectivity to multiple database platforms, ETL, web and container infrastructure and a range of other technologies. Prior experience in the financial industry is not required; candidates from software companies and other industries ...

design event‐driven and asynchronous integration patterns. Collaborate with stakeholders to ensure seamless data flow across interconnected systems. Design, develop, and maintain background ETL processes for data ingestion, transformation, and loading. Build and optimize data pipelines that support analytics, reporting, and operational workflows. Ensure data integrity, reliability, and traceability across … similar message brokers for asynchronous processing. Practical experience with cloud services, preferably Microsoft Azure and/or GCP. Demonstrated expertise in designing and implementing ETL pipelines and background processes. Strong understanding of system architecture principles – microservices, event‐driven design, and API gateways. Soft Skills Strong team player with excellent collaboration ...