1 to 25 of 32 Permanent SQL Jobs in Glasgow

looking for experience in the following:Cloud engineering across one or more of: Azure, AWS, GCP, Databricks, Microsoft Fabric or Snowflake Python and SQL, with strong engineering fundamentals Batch and/or streaming pipeline development, or cloud infrastructure and platform engineering — or both CI/CD tooling for data ...

looking for experience in the following: Cloud engineering across one or more of: Azure, AWS, GCP, Databricks, Microsoft Fabric or Snowflake Python and SQL, with strong engineering fundamentals Batch and/or streaming pipeline development, or cloud infrastructure and platform engineering or both CI/CD tooling for data ...

Fundamentals (DP-900) Microsoft Azure AI Fundamentals (AI-901) Practical, real-world project work designed to help you develop hands-on skills in Excel, SQL, Python and PowerBI Dedicated 1-to-1 tutor support throughout your learning journey CV support, interview preparation, and career coaching Access to our employer network ...

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 system behaviour, Ability to support issue triage (defects, test cycles) Risk Management & Regulatory Awareness: Risk & Controls ...

free way. About You • Experience in a data analysis or similar analytical role. • Strong skills in Excel and at least one tool such as SQL, Power BI or Python. • Excellent attention to detail and a practical, problem-solving mindset. • The ability to explain analysis simply to non-technical colleagues. • Confidence ...

guidance to engineering and operations teams. Required Technical SkillsData Platforms: Experience in building & scaling data lakes, data warehouses, and associated data systems. Databases: SQL, PostgreSQL; MongoDB and cloud-based platforms (e.g. Snowflake, Databricks, Redshift).Semantic Layer: Design and implementation for governed reusable data views. Data Governance Tools: Collibra, Alation, Talend ...

engineering capability with demonstrated experience building dashboards and web experiences end-to-end, spanning frontend, back-of-frontend, and backend integration Experience working with SQL databases and analytical data stores at scale, including data warehouse concepts and query optimization Demonstrated engineering practices including CI/CD pipeline implementation, automated testing ...

from beginner to job-ready professional with a job guarantee or 100% of course fees refunded. The Training: 8 modules: Excel, SQL, Python, Tableau, Power BI, Azure AI Fundamentals, AI Business Professional, and Microsoft 365 Copilot & Agent Administration 4 Microsoft certifications ...

little as a few weeks. Our programme includes: • Official CompTIA Data+ Certification • Official BCS accredited Business Analysis Foundation Certification • Training in Excel, SQL, Python, Power BI, and Tableau • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support until placed • Personalised 1-1 tutor support Flexible, affordable, achievable To make ...

with access to the following additional courses to ensure you are suitably employable as a data analyst. Microsoft excel - to expert level. Learn SQL - the programming language used for extracting data from more complex databases. Learn Python 3 - Python 3 is a simple to use programming language used by many ...

little as a few weeks. Our programme includes: Official CompTIA Data+ Certification Official BCS accredited Business Analysis Foundation Certification Training in Excel, SQL, Python, Power BI, and Tableau Professional CV and LinkedIn support Interview preparation Dedicated recruitment support until placed Personalised 1-1 tutor support Flexible, affordable, achievable To make ...

skills, with the ability to explain complex problems clearly Eagerness to learn and share knowledge across diverse teamsStrong analytical skills, with experience of using SQL to interrogate large and complex datasets, identify insights and support effective problem-solvingWhat’s in it for you As well as a competitive salary which ...

weeks. Our programme includes: Official BCS accredited Business Analysis Foundation Certification Official BCS accredited Business Analysis Practice Practitioner Certification Training in SQL, Power BI, and Scrum Professional CV and LinkedIn support Interview preparation Dedicated recruitment support until placed Personalised 1-1 tutor support Flexible, affordable, achievable To make things easier ...

AzureExperience working within agile delivery environmentsDesirableFamiliarity with Infrastructure as Code tools such as TerraformExperience building and integrating with NoSQL databases, particularly MongoDB, or SQL databases such as PostgreSQLUnderstanding of web standards, accessibility requirements and software development best practicesAdditional AdvantageExperience developing microservices using C#Experience building solutions that integrate with large language ...

prioritise multiple projects and objectives. Intermediate or above experience in storage and/or Linux. Desirable skills and experience Object-oriented programming concepts. SQL programming. Experience deploying, operating or administering Linux in an enterprise environment, particularly RHEL. Knowledge of storage technologies including Fibre Channel, iSCSI, SCSI, NFS, CIFS, POSIX ...

Spring Boot proficiencyDeep knowledge of public cloud environments, preferably AWSExperience designing cloud-native, microservices, and event-driven architecturesStrong grasp of CI/CD pipelines, SQL/NoSQL databases, Kafka, and Java StreamingFamiliarity with infrastructure-as-code (e.g., CloudFormation), distributed systems, and secure design practicesBonus Points ForExperience using GitLab ...

uncertain and following security and data handling requirements Preferred qualifications, capabilities, and skills Experience with relational databases in the cloud (e.g., Oracle on RDS, SQL fundamentals) and event-driven messaging platforms (e.g., Amazon MSK/Kafka, EventBridge, SNS) Familiarity with containerization and platform engineering patterns (Docker, Kubernetes, Helm) and scripting ...

Boot, and AWS-based enterprise cloud solutionsProven track record architecting secure, scalable services using microservices and CQRS patternsStrong experience in CI/CD pipelines, SQL/NoSQL, Kafka, CloudFormation, and streaming frameworksAdvanced understanding of system security protocols (e.g., OAuth, IAM, TLS, encryption)Leadership capability to manage and mentor teams while ...

pivotal to ensuring the ongoing delivery of our analytics optimisation services.To be successful as a Data Scientist, you will need the following:Proficiency in SQL, SAS, Python, or similar programming languages.Strong knowledge of fraud detection systems.Hands-on experience working with large and complex data sets.Some other highly valued skills ...

inaccurate events.- Build and support integrations between the website, Chord, Braze, OneTrust, and related services using APIs, webhooks, 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 ...

data solutions with full stack application development. Strong expertise in database/data engineering across multiple database platforms and environments (e.g., PostgreSQL, DB2, SQL Server, Sybase, Snowflake, Azure SQL, MongoDB, Teradata, Oracle, etc.).Hands-on experience developing full-stack applications using Java/Spring Boot, Python, REST APIs, and Angular. ...

skills Strong organisational and time management skills A proactive, hands-on approach to solving technical challenges Technical Environment You'll work extensively with: Microsoft SQL Server SQL querying, optimisation and performance tuning Data manipulation and analysis SSRS Or Power BI What's On Offer Alongside a competitive package ...

maintain scalable ETL/ELT solutions across ingestion, transformation, storage, and serving layers. Build and support data platform capabilities using Microsoft technologies, including SQL-based environments and modern cloud data services. Implement robust security, tenancy isolation, and performance controls across platform components. Develop data products and APIs that support analytics … engineering experience in a technical leadership role. Strong expertise in modern data platforms, including data pipelines, ETL/ELT, data warehousing or lakehouse architectures, SQL, Python, and orchestration frameworks. Proven experience building and operating medallion architecture platforms (Bronze, Silver, Gold). Strong experience with Microsoft-based data technologies, including SQL ...

predictive models. Set automated evaluation frameworks, non-deterministic testing standards and compliance gates.Set Engineering Standards & Code Patterns: Provide senior technical authority in Python, SQL, advanced software engineering, and LLM orchestration to the wider team. Review production code and build reusable code repositories to ensure quality engineering solutions.Lead future technology: Identify … guide investment choices around data architecture, software engineering, and AI automation.Experience RequiredAI engineering: Hands-on experience building and testing AI solutions in Python and SQL, across LLMs and generative AI, RAG, agent frameworks (for example LangGraph, AutoGen, Semantic Kernel or LangChain) and machine learning. Experience taking AI into production ...

entitlements, search, onboarding, and data quality. Define requirements for mastered data, including identifier design and lifecycle, validation, matching, mapping, hierarchies, and cross-references. Use SQL or similar analytical tools to investigate datasets, validate requirements, and support product decisions. Stakeholder Collaboration & Improvement Work across Product, Engineering, Data, Research, Operations, Commercial … requirements, user stories, acceptance criteria, and prioritised backlogs. Experience working with Agile engineering teams and tools such as Jira and Confluence, with confidence using SQL or similar analytical tools. Knowledge of data products, metadata, identifiers, mastered data, data quality, and the lifecycle of data across systems. Understanding of APIs, data ...