21 of 21 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 ...

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 ...

This role is crucial in transforming raw data into actionable insights that drive business decisions. You will design, develop, and maintain data pipelines and ETL processes, create and manage data models, dashboards, and reports using BI tools, and analyse complex datasets to identify trends and patterns. You will collaborate with … cross-functional teams to understand business needs and translate them into data requirements. Responsibilities: Design, develop, and maintain data pipelines and ETL processes. Create and manage data models, dashboards, and reports using BI tools. Analyse complex datasets to identify trends, patterns, and opportunities for improvement. Collaborate with cross-functional teams ...

modern cloud and data platforms including Azure, AWS, GCP, Databricks, Microsoft Fabric and Snowflake Developing and maintaining scalable batch and streaming data pipelines, applying ETL/ELT patterns to ingest, validate, normalise, cleanse and transform data at scale Building and supporting cloud platform infrastructure using Infrastructure as Code tools such ...

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 ...

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 ...

/Definition of Done Some other highly valued skills may include: 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 ...

Oracle eBusiness Suite background with recent cloud experience (e.g, SQL/PLSQL/Java/OAF/BI/Forms/Reports.* Data Migration, ETL, knowledge. A strong candidate will have experience in data migration from Oracle eBusiness Suite to Oracle Fusion Cloud and experience using Oracle Data Integrator ...

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 ...

Scorus Solutions in Glasgow is seeking a Business Intelligence and Data Analytics Engineer to design, build, and maintain data pipelines and ETL processes on-site. You will create data models, dashboards, and reports using BI tools, analyze large datasets for trends, and collaborate with cross-functional teams to translate business ...

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 ...

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 ...

data product journey, drive governance, and mentor teams across Azure, Databricks, Snowflake, and other cloud platforms. You will foster AI-augmented practices, modernise ETL/ELT pipelines and establish robust CI/CD standards while collaborating with multi-disciplinary teams. This role requires onsite work in Glasgow. #J-18808-Ljbffr ...

Python, FastAPI, and Pandas to power AI-driven products and client deployments. You will collaborate with cross-functional teams in an Agile environment, implement ETL pipelines, and optimize data processing across cloud platforms like Azure and GCP. #J-18808-Ljbffr ...

data modelling, pipeline delivery and ongoing governance — ensuring what the team builds is fit for business and AI consumption, not just technically correct Lead ETL/ELT modernisation and cloud migration programmes, applying AI-assisted approaches to accelerate analysis, mapping and delivery of legacy-to-cloud transitions Architect observability, resiliency … Data modelling including dimensional/Kimball design, medallion architecture and source-to-target mapping, with the ability to translate these into scalable, reusable patterns ETL/ELT delivery and legacy-to-cloud migration at scale Data product thinking — experience owning the full pipeline-to-product journey, with a consumption-first ...

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 ...

tasks or projects in the Growth Analytics roadmap Have built a new analytics platform (or enhanced an existing one) using a combination of SQL ETL and Tableau Visualisation skills Using stakeholder input, translated these for commercial business benefit via deployment within the Growth team Systems: You will have experience … and profitable business solutions Relish the opportunity to combine the above listed skills to deliver 'applied analytics:' - combining knowledge of data science, data engineering (ETL), visualisation and insight to deliver assets which address commercial 'so what' questions Are at home in a team which combines planning rigour and discipline with ...

ideal candidate will have over 5 years of experience in the banking sector, focusing on data engineering. Proficiency in SQL, Python, and various ETL tools, along with experience in cloud platforms like AWS, is essential. The responsibility includes developing data pipelines and ensuring data governance. A Bachelor’s or Master ...

and established integration patterns. - Develop SQL and dbt models that turn customer and event data into reliable datasets for engagement and personalisation. - Support reverse ETL pipelines that deliver customer data from Snowflake to downstream tools such as Braze. - Test consent behaviour, browser compatibility, data accuracy, and the performance impact … week. Preferred Qualifications - Experience with Next.js, Google Tag Manager, Chord, Braze, or OneTrust. - Exposure to Snowflake, dbt, Census, or comparable customer data and reverse ETL tools. - Exposure to AI coding tools such as Claude, Codex, or equivalent. - Experience with consent-aware tracking, event instrumentation, or marketing technology integrations. Inclusion Research ...