1 to 25 of 333 Permanent SQL Jobs in Scotland

performance, scalability, and reliability. Required Skills Python for data engineering (e.g., pandas, NumPy, pyodbc, SQLAlchemy, etc.) Strong experience in Power BI (DAX, Power Query, data modeling, publishing dashboards) Advanced SQL skills (joins, CTEs, indexing, optimization) Experience with relational databases (e.g., SQL Server, PostgreSQL, MySQL) Understanding of ETL/ELT principles , data architecture, and data warehouse concepts Familiarity with APIs, RESTful More ❯

a diverse mix of backgrounds. Technical skills are only part of the equation. Core - Ideally, you will have hands-on experience with the following in a previous role: Python SQL Cloud platform architecture (AWS, Azure, GCP) Data Warehousing (Snowflake, Redshift, Synapse, BigQuery, etc.) Data Lakes/Lakehouses and analytical tools (Databricks, Azure Fabric/OneLake, AWS Lake Formation, Spark, Athena More ❯

be beneficial. Understanding of the System Delivery Life Cycle. Experience of using agile delivery tools such as JIRA, Pivotal, Collab, Confluence Experience of engineering based on the likes of SQL, SSIS, Python, Java, Scala, XML/FpML and Power BI Solution architecture (Business, Functional, Technical) Data architecture, data lineage and all aspects of AI including, but not limited to, NLP More ❯

modern data engineering and reporting. Including storage, data pipelines to ingest and transform data, and querying & reporting of analytical data. You've worked with technologies such as Python, Spark, SQL, Pyspark, PowerBI etc. You’ve got a background in software engineering, including Front End technologies like JavaScript. You’re a problem-solver, pragmatically exploring options and finding effective solutions. An More ❯

Platform, with a focus on Power Apps (Canvas and Model-Driven, use of Dataverse) and/or Power Automate. Copilot Studio experience also desirable. Programming language (Python, R or SQL) Hands-on experience with tools such as Microsoft Fabric, Databricks, or Snowflake Consulting Experience: Current experience in a major consulting firm and/or significant consulting background with evidence of More ❯

solid understanding of microservices architecture. Frontend Proficiency: Expert-level proficiency in React, including core libraries, state management, and modern frontend practices. Database Acumen: Solid understanding of relational databases (e.g., SQL Server, PostgreSQL) and ORM frameworks (e.g., Entity Framework Core) Cloud Experience: Experience with leading cloud platforms (e.g., AWS, Azure, GCP) and cloud-native patterns. DevOps & Quality Focus: Experience with testing … Scotland, United Kingdom 4 days ago Glasgow, Scotland, United Kingdom 2 days ago Glasgow, Scotland, United Kingdom 2 days ago Full Stack Software Engineer II - Java/React/SQL Glasgow, Scotland, United Kingdom 1 week ago Glasgow City, Scotland, United Kingdom 1 day ago Glasgow, Scotland, United Kingdom 4 days ago Glasgow, Scotland, United Kingdom 3 weeks ago Glasgow … Scotland, United Kingdom 1 week ago Glasgow, Scotland, United Kingdom 1 week ago Glasgow, Scotland, United Kingdom 1 week ago Full Stack Software Engineer III - Java/React/SQL Glasgow, Scotland, United Kingdom 1 day ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J More ❯

tooling via our data engineering 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 new technologies and techniques. A More ❯

a continuous delivery platform with 100% infrastructure as code. Package applications in containers and deploy on Azure Kubernetes Service. Data Modelling: Use entity framework code first data with Azure SQL or a NoSQL Databases. Enterprise Expertise: Build resilient Microservice and Micro-front ends integrated via a Cloud message bus. Security Practices: Comply with secure coding & infrastructure standards and policies. Continuous More ❯

a continuous delivery platform with 100% infrastructure as code. Package applications in containers and deploy on Azure Kubernetes Service. Data Modelling: Use entity framework code first data with Azure SQL or a NoSQL Databases. Enterprise Expertise: Build resilient Microservice and Micro-front ends integrated via a Cloud message bus. Security Practices: Comply with secure coding & infrastructure standards and policies. Continuous More ❯

intelligence, machine learning, mobile, etc.) Ability to tackle design and functionality problems independently with little to no oversight Experience performing data analytics on AWS platforms Experience in writing efficient SQL's, implementing complex ETL transformations on big data platform. Experience in a Big Data technologies (Spark, Impala, Hive, Redshift, Kafka, etc.) Experience in data quality testing; adept at writing test … a plus Financial Services and Commercial and Investment Banking experience is a plus Familiarity with NoSQL database platforms(DynamoDB, Cassandra) is a plus Familiarity with relational database environment (Oracle, SQL Server, etc.) leveraging databases, tables/views, stored procedures, agent jobs, etc. About Us J.P. Morgan is a global leader in financial services, providing strategic advice and products to the More ❯

We are looking for a hands-on, technically driven Data Engineer to join our expanding data team. This role is ideal for someone with a strong foundation in SQL and data management, who has recently graduated from a Data Science or Data Engineering programme and is eager to apply their skills in a modern, forward-thinking environment. You will be … data solutions that support reporting, automation, and strategic decision-making across the business. The successful candidate will have up-to-date knowledge of data tooling and methodologies, particularly in SQL, Power BI, and data automation, with an interest in modern data architecture such as cloud-based warehousing and lakehouse solutions. As the role sits within a relatively new department, where … are still evolving, there is a significant opportunity to help shape the future of OEG’s data management practices. Key Responsibilities: Database and Data Engineering Design, develop, and maintain SQL-based solutions and data pipelines. Manage relational databases, ensuring data can be extracted, transformed, updated, and exported efficiently. Write complex T-SQL queries, stored procedures, and functions to support data More ❯

Technical Skills And Qualifications: Proficiency in front-end technologies such as HTML, CSS, JavaScript, and frameworks like React. Strong experience with back-end technologies, especially Node.js, and database management (SQL and NoSQL databases like MySQL). Familiarity with RESTful APIs and GraphQL for data communication between the front-end and back-end. Knowledge of version control systems, particularly Git, for More ❯

environments with multiple platforms and data sources. Supply Chain Knowledge : Understanding of data from supply chain software like SAP IBP, SAP APO, and SAP ECC. Technical Skills : Proficient in SQL, with strong preference for experience in Python or R; exposure to automation tools (RPA) is preferred. Agile Methodologies : Experience in Agile (certifications preferred), with a track record of leading scrums More ❯

environments with multiple platforms and data sources. Supply Chain Knowledge : Understanding of data from supply chain software like SAP IBP, SAP APO, and SAP ECC. Technical Skills : Proficient in SQL, with strong preference for experience in Python or R; exposure to automation tools (RPA) is preferred. Agile Methodologies : Experience in Agile (certifications preferred), with a track record of leading scrums More ❯

environments with multiple platforms and data sources. Supply Chain Knowledge : Understanding of data from supply chain software like SAP IBP, SAP APO, and SAP ECC. Technical Skills : Proficient in SQL, with strong preference for experience in Python or R; exposure to automation tools (RPA) is preferred. Agile Methodologies : Experience in Agile (certifications preferred), with a track record of leading scrums More ❯

to work unsupervised and to manage a varied workload efficiently You’ll need all of these. Solid understanding of data pipeline/ELT development, including performance tuning Very good SQL skills Past experience and solid understanding of end to end Data Warehouse, Data Lake and BI design and delivery at scale (high level and detailed) and various architectural strategies Solid … and Date Lake modelling experience (Star Schema, Snowflake Schema, Data Vault etc.) Past hands-on development experience in at least one enterprise analytics database like Oracle/Terradata/SQL Server/Snowflake Understanding of AWS cloud and fundamental services like IAM, Lambda, S3 etc. Experience of liaising with both in-house and third party development teams, across different geographical … sites Skilled at writing and understand Python code especially those using AWS boto3 APIs Good understanding of replication software such as DMS Very good SQL skills Past experience and solid understanding of end to end Data Warehouse, Data Lake and BI design and delivery at scale (high level and detailed) and various architectural strategies Solid information architecture skills/experience More ❯

project components. Carries out independent analysis on specific areas of forecasting or modelling projects. Delivers high-quality outputs on time, recognised for accuracy and reliability. Demonstrates strong proficiency in SQL or Python for data handling. Supports data governance and quality assurance activities. Engages directly with stakeholders, building confidence in data-driven outcomes. Works closely with peers in Research, Product, Data … Experience & Qualifications Bachelor's degree in Data Science, Computer Science, Mathematics, or a related field. 2-4 years of experience in data analysis, including handling large, complex datasets. Advanced SQL skills for querying and managing relational databases. Familiarity with data visualisation tools (e.g., Sisense, Power BI, Streamlit). Technical Skills Experience with ETL processes and APIs for data integration. Understanding More ❯

Microsoft Dataverse. Experience configuring and deploying Dynamics 365 applications. Experience with Power Apps Test Studio or other Power Platform testing solutions. Experience in configuring and using other data stores (SQL/SharePoint/Lists). Experience developing and deploying Microsoft Teams Apps. Experience with Azure DevOps (or similar tools) for CI/CD and backlog/progress tracking. Experience with More ❯

related technical field Experience with object-oriented programming preferred General familiarity with some of the technologies we use: Python, Apache Spark/PySpark, Java/Spring Amazon Web Services SQL, relational databases Understanding of data structures and algorithms Interest in data modeling, visualisation, and ETL pipelines Knowledge of financial concepts (e.g., stocks, bonds, etc.) is encouraged but not necessary Our More ❯

processes, and proactively contribute to team culture The minimum requirements for this position are: 4+ year experience shipping code to production environments Strong programming language skills in Python and SQL Experience building cloud native applications Great problem-solving and communication skills Knowledge and experience we are looking for includes: DevOps automation, idempotent deployment testing, and continuous delivery pipelines Networking and More ❯

Airflow , Kafka , Databricks , and cloud-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 communication skills with the ability More ❯

in data ingestion, transformation, and management, with a proven ability to design scalable and efficient data solutions. You're confident working with Big Data technologies and tools such as SQL, Microsoft Fabric, and Azure Data Factory (ADF), and you know how to turn complex data challenges into streamlined, reliable systems. You will excel in data warehouse modelling, especially with Kimball More ❯

of data analysis tools/techniques such as Power Bi, Tableau/Oracle is desirable but not essential. Experience of working with Enterprise IT, Database and CRM systems, (e.g. SQL and ) is desirable but not essential. Moody's is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin More ❯

unsupervised and to manage a varied workload efficiently Minimum criteria You'll need all of these. Solid understanding of data pipeline/ELT development, including performance tuning Very good SQL skills Past experience and solid understanding of end to end Data Warehouse, Data Lake and BI design and delivery at scale (high level and detailed) and various architectural strategies Solid … and Date Lake modelling experience (Star Schema, Snowflake Schema, Data Vault etc.) Past hands-on development experience in at least one enterprise analytics database like Oracle/Terradata/SQL Server/Snowflake Understanding of AWS cloud and fundamental services like IAM, Lambda, S3 etc. Experience of liaising with both in-house and third party development teams, across different geographical … sites Skilled at writing and understand Python code especially those using AWS boto3 APIs Good understanding of replication software such as DMS Desirable criteria Very good SQL skills Past experience and solid understanding of end to end Data Warehouse, Data Lake and BI design and delivery at scale (high level and detailed) and various architectural strategies Solid information architecture skills More ❯

monitoring and alerting tools and services- Dynatrace, Datadog, cloudwatch, Splunk, Grafana, Prometheus, Hands on experience of GIT, BitBucket, Jenkins, SONAR, Maven, CI/CD tools, Linux and Solaris, relational SQL and non-SQL DB technologies, streaming system – Kafka, Load balancing, IP, DNS, Experience with incident management, release management, RCA/Postmortem best practices. Ability to collaborate with high-performing teams More ❯