12 of 12 ETL Jobs in Scotland

governance, metadata, lineage, master data management, data quality, interoperability and information architecture. Significant experience designing and delivering enterprise data platforms, data warehouses/lakehouses, ETL/ELT processes, APIs, data pipelines and cloud integration solutions. Advanced technical skills in SQL, Python, Power BI and enterprise data governance tools. Strong understanding ...

and data architecture solutions. Strong experience with the Microsoft Fabric ecosystem . Expertise in: SQL Power BI Azure Data Services Data Warehousing Lakehouse architecture ETL/ELT development Strong understanding of: Data governance Data quality management Data lineage Metadata management Data security principles Proven ability to engage with both technical ...

inclusive environment through collaborative leadership, resolving organisational challenges, and mentoring colleagues. What You'll Bring Core Data Engineering Foundation: Practical experience with data modelling, ETL/ELT, and various database technologies. Technical Versatility: Fluency in data processing languages (Python, SQL, PySpark) and openness to tech stacks such as SSIS, Airflow ...

automation scripts or custom AI agents using node or python. Data Engineering (30%): Experience deploying and maintaining data orchestration toolsets (e.g., dbt, Apache Airflow), ETL/ELT methodologies, real‐time streaming (e.g., AWS Kinesis, Apache Kafka), Vector databases, and RAG architectures. Observability & FinOps: Experience implementing modern observability tooling (OpenTelemetry) alongside ...

detail and quality-first mindset AI Data Quality Analyst 30/07/2026 Permanent Location United Kingdom Start date As soon as possible ETL Developer Java JSON Python +2 30/07/2026 Permanent Location Bournemouth, England, United Kingdom Start date As soon as possible Business Analyst ...

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 ...

deployability, etc. Troubleshoot development and production problems across multiple environments and operating platforms, from the AWS-based modern stack to the multiple strands of ETL and database (legacy and otherwise) that underpins the service. Routinely use collaborative development practices such as pairing and mobbing techniques in programming, code reviews, system ...

deployability, etc... - Troubleshoot development and production problems across multiple environments and operating platforms, from the AWS-based modern stack to the multiple strands of ETL and database (legacy and otherwise) that underpins the service. - Routinely use collaborative development practices such as pairing and mobbing techniques in programming, code reviews, system ...

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 ...

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 ...

education and experience. Previous experience in industry within a similar role. Proven experience in data architecture and management. Proficiencies in data modeling, data warehousing, ETL processes, and database technologies. Continuous learner that stays abreast with industry knowledge and technology. ...

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 ...