1 to 25 of 29 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 ...

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 ...

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 ...

performance tuning, data modelling, and complex query development. Strong Java development experience, including object-oriented design and enterprise application development. Experience designing and developing ETL/ELT pipelines. Experience working with relational databases such as PostgreSQL, SQL Server, Oracle, or MySQL. Understanding of data warehousing concepts and dimensional modelling. Experience ...

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 ...

Amazon Redshift, or AWS Understanding of data integration processes and tools such as Databricks, DBT, or Glue Ability to design data models aligned with ETL pipelines Understanding of data management standards, regulatory compliance including GDPR and HIPAA, and security protocols Deep knowledge of entity-relationship modeling, normalization and denormalization, and ...

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 ...

Financial Services & Insurance experience. Domain & Technical Expertise Data & AI Architecture Fluency: Deep understanding of modern data stacks (Data Lakehouses, Data Mesh, Real-time Streaming, ETL/ELT pipelines) and AI/ML lifecycle management (MLOps, GenAI integration, Model Governance). Ability to challenge architectural patterns and supervise technical teams without ...

core operational systems Build and develop data warehousing solutions using Microsoft Fabric, transforming data for reporting and analytics Work hands-on with SQL, APIs, ETL processes and Python to automate and improve existing data processes Support the integration of systems including Salesforce, alongside the organisation's wider move towards ...

acceptance criteria that meet Definition of Ready/Definition of Done. Exposure to Broader Banking Product Stacks: Payments domain deep‐dive, Core banking systems, ETL/reporting flows, Integration with middleware (Kafka, MQ, file‐based patterns) Technical Awareness & Analytical Tools: SQL/data interpretation, Understanding of data models, interfaces and ...

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 ...

coding hygiene and system architectureRequired qualifications, capabilities, and skillsFormal 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 stabilityExperience in developing ...

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 ...

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 ...

and security expectations; ability to guide peers on safe and effective usage within team practices Hands-on experience building and operating data pipelines (e.g., ETL/ELT patterns, orchestration/scheduling, monitoring, and data quality checks) in a production environment Preferred qualifications, capabilities, and skills Experience leading engineering teams within ...

and security expectations; ability to guide peers on safe and effective usage within team practices Hands-on experience building and operating data pipelines (e.g., ETL/ELT patterns, orchestration/scheduling, monitoring, and data quality checks) in a production environment Preferred Qualifications, Capabilities, And Skills Experience leading engineering teams within ...

resiliency and security expectations; ability to guide peers on safe and effective usage within team practicesHands-on experience building and operating data pipelines (e.g., ETL/ELT patterns, orchestration/scheduling, monitoring, and data quality checks) in a production environmentPreferred qualifications, capabilities, and skillsExperience leading engineering teams within a large ...

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 ...

results, supporting data engineers and stakeholders on data analysis issues.Designing and implementing a data streaming service, including the development of new data models and ETL processes.Ensuring the successful delivery of completed data loads for customers, Data Analysts and Data Scientists, troubleshooting where required.Designing, building and testing data products and solutions … data analysis, solution design and end user reporting.Experience of any of the following: IT programming and automation, using tools such as industry standard ETL tools, network databases and scheduling and orchestration tools, using modern/open source programming languages in order to deliver data development/engineering products, using public ...

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 ...