1 to 25 of 74 SQL Jobs in Edinburgh

expert group and promoting best practices. Essential skills: Strong experience with Microsoft’s development stack (or similar), Azure cloud tools, and/or MS SQL database technologies. A keen interest in AI and developing custom solutions using Microsoft’s Copilot capabilities. A continuous learner with a growth mindset, passionate about More ❯

expert group and promoting best practices. Essential skills: Strong experience with Microsoft’s development stack (or similar), Azure cloud tools, and/or MS SQL database technologies. A keen interest in AI and developing custom solutions using Microsoft’s Copilot capabilities. A continuous learner with a growth mindset, passionate about More ❯

similar tools Experience with data modeling, warehousing and building ETL pipelines Experience in Statistical Analysis packages such as R, SAS and Matlab Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling Experience with AWS solutions such as EC2 More ❯

native services (AWS, GCP, or Azure). Deep understanding of data modeling , distributed systems , streaming architectures , and ETL/ELT pipelines . Proficiency in SQL and at least one programming language such as Python , Scala , or Java . Demonstrated experience owning and delivering complex systems from architecture through implementation. Excellent More ❯

Databricks, and cloud-native services (AWS, GCP, or Azure) Understanding of data modeling, distributed systems, ETL/ELT pipelines, and streaming architectures Proficiency in SQL and at least one programming language (e.g., Python, Scala, or Java) Demonstrated experience owning complex technical systems end-to-end, from design through production Excellent More ❯

and cloud-native services (AWS, GCP, or Azure) Deep understanding of data modeling, distributed systems, ETL/ELT pipelines, and streaming architectures Proficiency in SQL and at least one programming language (e.g., Python, Scala, or Java) Demonstrated experience owning complex technical systems end-to-end, from design through production Excellent More ❯

and cloud-native services (AWS, GCP, or Azure) Deep understanding of data modeling, distributed systems, ETL/ELT pipelines, and streaming architectures Proficiency in SQL and at least one programming language (e.g., Python, Scala, or Java) Demonstrated experience owning complex technical systems end-to-end, from design through production Excellent More ❯

development ecosystem, Azure cloud services, and modern data engineering tools – and ideally have hands-on experience with Azure or a solid background in MS SQL technologies. Interested in or experienced with AI development, particularly in building tailored copilot applications. Take initiative and ownership in solving problems, with a practical approach More ❯

development ecosystem, Azure cloud services, and modern data engineering tools – and ideally have hands-on experience with Azure or a solid background in MS SQL technologies. Interested in or experienced with AI development, particularly in building tailored copilot applications. Take initiative and ownership in solving problems, with a practical approach More ❯

Node.js + TypeScript (Express.js or NestJS) or FastAPI (Python). Expertise in relational databases (PostgreSQL), caching/queues (Redis, BullMQ or Celery), and advanced SQL (joins, indexes, migrations). Experience building microservices architectures, Docker, and CI/CD. Frontend Development (Strongly Preferred): Proficiency in Next.js (v13+), React (Hooks), TypeScript, and More ❯

reporting, and analysis. Strong analytical and problem-solving skills. Some experience or exposure to MS Fabric Proficiency in data analysis tools and software (including SQL, Excel & Power BI). Excellent communication and interpersonal skills. Ability to work independently and as part of a team. This role will be mostly onsite More ❯

reporting, and analysis. Strong analytical and problem-solving skills. Some experience or exposure to MS Fabric Proficiency in data analysis tools and software (including SQL, Excel & Power BI). Excellent communication and interpersonal skills. Ability to work independently and as part of a team. This role will be mostly onsite More ❯

containerisation, and cloud-native infrastructure. Familiarity with frontend architecture (Angular or similar) and its integration with backend services. Solid grounding in data architecture, both SQL and NoSQL; experience with data warehousing and ADF is advantageous. Comfortable leading architecture across multiple teams in a fast-moving Agile delivery environment. What’s More ❯

skills within a technical environment. You'll be able to work with 3rd party supplier to drive defect management Proven experience using these technologies SQL, Oracle, Unix/Linux, MQ, WebSphere, UrbanCode, jenkins. Have hands on experience in designing, implementing and managing infrastructure. Can independently design, implement, manage and optimise More ❯

The ideal candidate will possess the following: Experience with data modelling tools and techniques (e.g., ER/Studio, ERwin, UML, etc.). Proficiency in SQL/Python and data manipulation. Knowledge of Snowflake & Azure Understanding of data architecture principles and data governance. Ability to communicate complex technical ideas clearly to More ❯

in data quality management and related business processes Hands on expertise with agile methodologies, product delivery and data analysis Understanding of how Python and SQL can be utilised for Data delivery Good stakeholder engagement and communication skills Solid understanding of data modelling techniques and exploitation and BI tools SME knowledge More ❯

mentoring other scientists, engineers in the use of ML techniques BASIC QUALIFICATIONS - 5+ years of data scientist experience - Experience with data scripting languages (e.g. SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab) - Experience with statistical models e.g. multinomial logistic regression - Experience in data applications More ❯

job responsibilities -Design, develop, and evaluate highly innovative models for Natural Language Programming (NLP), Large Language Model (LLM), or Large Computer Vision projects. -Use SQL to query and analyze the data. -Use Python, Jupyter notebook, and Pytorch to train/test/deploy ML models. -Use machine learning and analytical More ❯

and provide full technical documentation Collaborate with cross-functional teams and support knowledge transfer Key Skills: .NET Core/Entity Framework Oracle PL/SQL Angular/HTML/CSS/JavaScript API Development & Integration Agile & Modular Architecture Desirable: Experience in secure environments (NCSC, OWASP, PSNP) RabbitMQ/JMS/ More ❯

and uphold best practices across the team. Key Responsibilities: Develop scalable server-side Java logic Collaborate across teams to deliver full-stack features Optimize SQL performance Integrate search engines like Solr Conduct testing to ensure quality Mentor junior developers Support customer issue resolution Follow industry best practices Ideal candidate, degree More ❯

and uphold best practices across the team. Key Responsibilities: Develop scalable server-side Java logic Collaborate across teams to deliver full-stack features Optimize SQL performance Integrate search engines like Solr Conduct testing to ensure quality Mentor junior developers Support customer issue resolution Follow industry best practices Ideal candidate, degree More ❯

Strong full-stack development experience, with strong skills in C#, Java, Python, or C++ Experience building and maintaining live web applications Solid understanding of SQL, RESTful APIs, and CI/CD workflows Familiarity with Azure cloud is highly beneficial A detail-oriented, proactive mindset with a passion for building impactful 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 ❯

database-based systems. Demonstrated ability to work productively on a cross functional and cross geographic team. Fluent English – both writing and verbal. Knowledge of SQL and Excel, experience with other programming languages desirable. Good to have skills: Previous experience working with a Life or Pensions policy administration system, digital platform More ❯