1 to 25 of 42 Remote Permanent SQL Jobs in Glasgow

processing and search technologies. An expert in Apache Lucene, Solr, Elasticsearch, if not you have the appetite to learn more. Hands on experience with SQL and NoSQL databases under your belt. Hold a degree in Computer Science/Software Engineering or equivalent experience. Familiar with writing automated tests and maintaining More ❯

processing and search technologies. An expert in Apache Lucene, Solr, Elasticsearch, if not you have the appetite to learn more. Hands on experience with SQL and NoSQL databases under your belt. Hold a degree in Computer Science/Software Engineering or equivalent experience. Familiar with writing automated tests and maintaining More ❯

You'll help build new features, refine existing ones, and influence the product's technical direction as it matures. Their current stack includes .NET, SQL, Microservices, Azure and VueJS, so you'll ideally feel comfortable with most of these technologies. However, they're open minded on technology, what they're More ❯

You'll help build new features, refine existing ones, and influence the product's technical direction as it matures. Their current stack includes .NET, SQL, Microservices, Azure and VueJS, so you'll ideally feel comfortable with most of these technologies. However, they're open minded on technology, what they're More ❯

latest trends like Generative AI and Agentic AI, with understanding of technology risks. Experience or understanding of programming language like Python, React, Java, or SQL from self-teaching, educational background, personal initiatives or projects delivered Understanding in AI solution development practice (including extended OOTB tools, custom agents, trained models) with More ❯

language that demands strong OO skills (e.g., C# or Java) Experience with Angular Code reviews & Continuous Improvement are paramount Experience with database design and SQL Several years of software design and development experience A solid foundation in computer science, with strong competencies in data structures, algorithms, and software design Previous More ❯

Hands-on experience with a broad suite of Azure data services Deep understanding of Data Management practices: governance, security, quality, and compliance Proficiency in SQL and familiarity with Azure DevOps Pipelines and Apache Spark Excellent stakeholder engagement and communication skills Relevant certifications (e.g., Azure Solutions Architect Expert or TOGAF) a More ❯

on AWS This role will be hands-on and you will be responsible for implementing process and reporting around governance, as such, proficiency in SQL based data manipulation and python is needed Exposure to tooling such as Unity Catalog a plus Familiarity with CICD practices, using Git, Jenkins or similar More ❯

team environment Familiarity using Infrastructure as Code tools such as Terraform Familiarity building and integrating with NoSQL database (familiarity with MongoDB is preferred) or SQL databases such as Postgres Familiarity with web standards, accessibility, and development best practice Building microservices in C# or Java Experience building solutions that integrate with More ❯

team environment Familiarity using Infrastructure as Code tools such as Terraform Familiarity building and integrating with NoSQL database (familiarity with MongoDB is preferred) or SQL databases such as Postgres Familiarity with web standards, accessibility, and development best practice Bonus: Building microservices in C# Experience building solutions that integrate with LLMs More ❯

with tools like MLFlow, LangChain, Hugging Face, Kubeflow, or similar platforms. Data Processing: Proficient with Databricks/Spark for large-scale AI data processing. SQL: Strong capabilities in data querying and preparation. Data Architectures: Understanding of modern data infrastructure (lakehouses, data lakes, vector databases). Additional (Nice-to-Have) Skills More ❯

with tools like MLFlow, LangChain, Hugging Face, Kubeflow, or similar platforms. Data Processing: Proficient with Databricks/Spark for large-scale AI data processing. SQL: Strong capabilities in data querying and preparation. Data Architectures: Understanding of modern data infrastructure (lakehouses, data lakes, vector databases). Additional (Nice-to-Have) Skills More ❯

both technical ability and business-facing skills. YOUR SKILLS & EXPERIENCE A successful Data Engineering Consultant will have the following: Solid technical ability in Python , SQL & Azure (essential). Strong proficiency in Microsoft Azure and relevant tools/technologies ( Databricks, Azure Data Factory, Azure Data Lake, Azure Synapse ). Proven understanding More ❯

both technical ability and business-facing skills. YOUR SKILLS & EXPERIENCE A successful Data Engineering Consultant will have the following: Solid technical ability in Python , SQL & Azure (essential). Strong proficiency in Microsoft Azure and relevant tools/technologies ( Databricks, Azure Data Factory, Azure Data Lake, Azure Synapse ). Proven understanding More ❯

Crime Data Modeller. Please let me know if you might be interested. Proficiency in data analytics and modelling, with experience in programming languages (eg SQL, Python, R, SAS, or similar) and data modelling tools (eg ERStudio) Experience in applying statistical analysis and machine learning techniques to enhance financial crime detection More ❯

knowledge - DNS, DHCP, routing, firewalls, web filtering Exposure to cloud migrations, ideally Azure (some AWS experience also fine) Experience supporting enterprise platforms like IIS & SQL Familiarity with compliance standards (ISO 27001, Cyber Essentials, NIST) Excellent problem solving and communication skills There's no on call requirement, though some flexibility around More ❯

knowledge - DNS, DHCP, routing, firewalls, web filtering Exposure to cloud migrations, ideally Azure (some AWS experience also fine) Experience supporting enterprise platforms like IIS & SQL Familiarity with compliance standards (ISO 27001, Cyber Essentials, NIST) Excellent problem solving and communication skills There's no on call requirement, though some flexibility around More ❯

implementing and maintaining data governance policies and procedures. Proficiency in using data management and governance tools such as Informatica, Collibra, or Talend. Understanding of SQL to analyze data structures and ensure compliance with governance standards. Familiarity with project governance tools and artifacts for product delivery (e.g. JIRA, Epic and User More ❯

clean, production-quality code. AI Model Management: Familiarity with platforms such as MLFlow, Hugging Face, or LangChain. Data Processing: Experience with Databricks/Spark. SQL: Solid querying and data preparation skills. Data Architectures: Understanding of modern data systems (lakehouses, data lakes). Additional (Nice-to-Have) Skills Infrastructure as Code More ❯

clean, production-quality code. AI Model Management: Familiarity with platforms such as MLFlow, Hugging Face, or LangChain. Data Processing: Experience with Databricks/Spark. SQL: Solid querying and data preparation skills. Data Architectures: Understanding of modern data systems (lakehouses, data lakes). Additional (Nice-to-Have) Skills Infrastructure as Code More ❯

security (encryption, PKI). Administer and troubleshoot within Office 365, Azure, Active Directory, Intune, and Entra environments. Handle a large application estate running IIS & SQL, ensuring optimal performance and availability. Utilise configuration management and application management & monitoring tools to manage infrastructure estates effectively. Lead and execute workload migrations to cloud More ❯

on developing and enhancing billing processes, is advantageous Detailed analytical abilities, an inquisitive nature and not settling until all questions are answered and understood. SQL skills are preferred but not essential Skilled in managing relationships with key stakeholders at the mid-senior level. Ability to document the change ready for More ❯

other related fields Nice to haves: Experience with and/or keen interest in cryptocurrency Experience in using data extraction and analysis tools (e.g. SQL, Tableau, SAS, Snowflake) Experience with or previous exposure to financial services regulators or Big 4 accounting firms Professional certifications (e.g. CAMS, CFCS, CFE, and CRCM More ❯

Analytical Skills: Extensive experience in and strong understanding of data modelling principles, data dictionaries and key data modelling tools such as ER studio, Oracle SQL Developer data. Knowledge of SQL and other programming languages such as R and Python. Strong understanding of data management, data quality, master data management and More ❯

development stack and Azure Cloud computing technologies, including many of the following: ASP.NET & ASP.NET Core Web Services architecture Service-oriented architectures Microservices CQRS APIs SQL Server/Transact SQL Testing frameworks such as NUnit, FakeItEasy, and SpecFlow Git & Azure DevOps Message brokers (e.g., Azure Service Bus/RabbitMQ) and messaging More ❯