1 to 25 of 28 ETL Jobs in Glasgow

Databricks Integrate data from multiple systems into Azure Data Lake Storage or OneLake, ensuring consistency, reliability, and performance Develop and maintain ELT/ETL processes using Azure-native tools and Fabric capabilities, optimising for cost and performance Build and maintain Microsoft Fabric artefacts including lakehouses, warehouses, notebooks, dataflows, and semantic ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

Office Suit (Word, Excel, PowerPoint, Outlook, etc.).May also have: Previous experience implementing and configuring tax technology solutions. Annin depth understanding of data modelling, ETL/ELT processes, and data warehousing. An understanding of the broader Microsoft ecosystem and cloud services. An understanding of tax and accounting with prior experience ...

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 ...

across the organisation. Key Experience To be successful in this role, you'll ideally have experience with: Microsoft Fabric. Azure Data Services. Data integration, ETL and data warehousing. Data cleansing, transformation and migration projects. SQL Server, complex SQL queries and stored procedures. API development and systems integration. Power BI and ...

with stakeholders to gather and understand data requirements Experience supporting data management solutions, system implementations, migrations or integrations An understanding of data integration and ETL processes Strong analytical and problem‐solving skills The ability to communicate effectively with both technical and non-technical stakeholders The ability to manage multiple priorities ...

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 ...

onsite. Required Skills & Experience 5+ years of experience as a Data Engineer. Strong expertise in SQL and Python/Scala. Hands-on experience with ETL tools and frameworks. Experience with data warehousing concepts and dimensional modeling. Strong experience in cloud platforms such as AWS/Azure/GCP. Experience with ...

Improve data reliability, coverage, traceability and timeliness. Key Skills Data engineering and analytics expertise. Experience with Power BI and Databricks. Strong data modelling and ETL skills. Understanding of cyber security technologies and security data sources. #J-18808-Ljbffr ...

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 ...

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 ...

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 ...

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 ...

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 ...

comfortable collaborating across engineering, product, and operations teams. Preferred qualifications, capabilities, and skills Proficiency in Python for data processing, automation, and service integration (e.g., ETL/ELT jobs, orchestration, or platform tooling). Demonstrated expertise in Agile/Scrum practices, including facilitating ceremonies (standups, planning, refinement, reviews, retrospectives), backlog hygiene ...

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 ...

prem and multi-cloud environments, security and performance. You will collaborate across teams to build AI-driven, metadata-enabled solutions and robust ETL pipelines, while aligning with #J-18808-Ljbffr ...

leverage Java and Scala to build pipelines, manage distributed big data frameworks, and optimize our data platform. The role emphasizes strong SQL, Java development, ETL/ELT experience, and collaboration with data architects and stakeholders to translate requirements into robust data solutions. Onsite in Glasgow with 3 days per week ...