17 of 17 ETL Jobs in Glasgow

accelerate development and testing of data pipelines (e.g. GitHub CoPilot, Claude Code). Required qualifications, capabilities, and skills Proven 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 ...

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 ...

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 ...

clients and our communities in more than 40 countries around the world.What you'll do in the role:Develop and maintain data pipelines and ETL (Extract, Transform, Load) processes.Work with structured and unstructured data to ensure it is accessible and usable.Optimize data systems for performance and scalability.Implement data quality and ...

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 ...

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 ...

with others and using data to create positive outcomes, we'd love to hear from you. Day to Day Design, build and maintain reliable ETL/ELT data pipelines using AWS or Azure cloud-native services and established engineering patterns Develop and support data integration components and services, including Java … Functions and Logic Apps PySpark SQL (Athena, Redshift, Azure Synapse SQL) AWS S3 or Azure Data Lake Storage Gen2 Python and/or Java ETL/ELT data pipeline development Data quality, validation and monitoring Git, CI/CD and Agile delivery practices Eligibility for SC Clearance Manchester Greater Manchester ...

with others and using data to create positive outcomes, we'd love to hear from you. Day to Day Design, build and maintain reliable ETL/ELT data pipelines using AWS or Azure cloud-native services and established engineering patterns Develop and support data integration components and services, including Java … Functions and Logic Apps PySpark SQL (Athena, Redshift, Azure Synapse SQL) AWS S3 or Azure Data Lake Storage Gen2 Python and/or Java ETL/ELT data pipeline development Data quality, validation and monitoring Git, CI/CD and Agile delivery practices Experience being most Senior of Lead within ...

and system architecture Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and advanced applied experience with SQL, Data Transformation, ETL, Python. Working knowledge of AWS, Databricks and big data technologies and concepts. Hands-on practical experience in system design, application development, testing, and operational stability ...

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 ...

seeking a Data Engineering Specialist to join the Architecture & Modernization team in a hybrid UK-based role. You will build and maintain data pipelines, ETL processes, and data platforms for Data AI initiatives, collaborating with stakeholders to drive data-driven insights. The role requires 8+ years of data engineering experience ...

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 ...

made to enable individuals with disabilities to perform the essential functions. Professional Experience Very desirable is experience with Agentic AI in a ELT/ETL capacity (Preferred) Exposure to Kafka or streaming platforms from an infrastructure or operational perspective (Preferred) Experience with observability tooling (logging, metrics, alerting) for cloud platforms … Preferred) Experience supporting Spark‐based platforms (e.g. EMR, Glue, Databricks) (Preferred) Proficient with DevOps tools and practices (Git, Jenkins, Docker, Kubernetes) as well as ETL frameworks (Apache Spark, Airflow, AWS IoT Analytics/Device Management/Events). (Preferred) Programming expertise in Python, Java, Scala, SQL, Spark, Unix shell scripting ...

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 ...