1 to 25 of 64 SQL Jobs in Edinburgh

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 ❯

and delivering data solutions in the Databricks Data Intelligence platform, either on Azure or AWS. Good working knowledge of Databricks components: DeltaLake, Unity Catalog, ML Flow, etc. Expertise in SQL, Python and Spark (Scala or Python). Experience working with relational SQL databases either on premises or in the cloud. Experience delivering multiple solutions using key techniques such as Governance 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 ❯

MO teams, from technical staff to business, with a knack for clear and effective communication. Desirable Knowledge of data management principles, database systems, and data warehousing concepts. Knowledge of SQL, writing clear, concise and performant SQL queries. Proficiency in business intelligence tools and technologies (e.g., OAS, PowerBI, Looker). Understanding of cloud technologies Who you'll be working with The More ❯

and more. What You’ll Be Doing: Design and develop Data Solutions, Pipelines and ETL Processes using tools such as Azure Data Factory/Azure Data Lake/Azure SQL/SSIS and other relevant offerings Build and tailor Data Models and Data Warehouses Work with other Data personnel such as Analysts/Scientists as well as stakeholders to gather … You’ll Bring: A background as a Data Engineer with skills across as many of the following Microsoft tooling as possible including Azure Data Factory, Azure Data Lake, Azure SQL, Azure Synapse Analytics, SQL Server/SSIS/T-SQL Strong skills across Data Modelling, Warehousing and ETL processes Skills in Business Intelligence tooling such as Power BI/similar 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 ❯

visualization using Tableau, Quicksight, or 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, DynamoDB, S3, and Redshift Experience More ❯

nationalities People management - track record of hiring and developing stars P&L management Entrepreneurial spirit, get-things-done attitude Exposure to IT and Product Development data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server machine learning statistics More ❯

as Spark, dbt, Airflow, Kafka, 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 communication skills with the ability More ❯

a team of 4–5 developers, fostering a collaborative and high-performance environment. Design, develop, and maintain robust applications using C# , MAUI , WinForms , Web API , and Angular . Leverage SQL , CI/CD pipelines , and Azure DevOps (ADO) to streamline development and deployment. Collaborate with cross-functional teams to translate business needs into technical solutions. Uphold best practices in coding … and resolve software defects efficiently. ✅ What We’re Looking For: 7+ years of hands-on experience in software development. Strong command of C# and Angular . Solid experience with SQL , CI/CD , and Azure DevOps . Excellent problem-solving and communication skills. Proven ability to lead and inspire development teams. Bachelor’s degree in Computer Science, Engineering, or a More ❯

delivering C# .NET solutions Microsoft 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 patterns RESTful APIs Continuous improvement More ❯

the AWS Well-Architected Framework Assess, document and translate goals, objectives, problem statements, etc. to offshore/onshore management teams Advise on database performance, altering the ETL process, providing SQL transformations, discussing API integration, and deriving business and technical KPIs Guide the transition of solutions into the hands of the client, providing documentation to operate and maintain the solution Design More ❯

Giving support to customers • Writing technical documentation Essential Skills and experience • At least 4 years of experience of: Web development on the Microsoft tech stack. (C#, .NET, HTML, CSS) • SQL database programming. Ideally SQL Server • JavaScript programming • Using a source control system (we use TFS and git) • You have good problem-solving skills • You have a professional attitude and approach More ❯

Spark, dbt, Airflow, Kafka, Databricks, 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 communication skills with the ability More ❯

about technology, especially the Microsoft 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 to building sustainable solutions. Confident More ❯

Docker) Managing applications deployed to Kubernetes, Istio, Helm Cloud platforms such as GCP, GKE, IaC (Terraform) Build tools and DevOps principles: Git, Maven, Jenkins CI/CD, Nexus, SonarQube SQL/NoSQL databases, basic Unix/Linux skills, TDD with JUnit Preferred additional skills Experience with Spring Boot and Hibernate Experience with JavaScript or other front-end technologies Building microservice More ❯

tools, including advancements in AI applications for data analysis. What you'll bring Proven experience delivering impactful data insights that have influenced business or product decisions. Strong proficiency in SQL for data extraction and manipulation. Experience of Python for data analysis, statistical modelling, and automation. Experience with data visualization tools (e.g., PowerBI, Tableau, Looker) with a focus on creating insightful More ❯

in Edinburgh . The ideal candidate will have 3 to 8 years of professional experience in software development, with strong Java programming skills and hands-on knowledge of MS SQL Server and Azure DevOps. This role requires on-site presence four days a week. Key Responsibilities Identify and resolve syntax and semantic errors in application code and core libraries Write … and maintain universally compatible SQL code Functionally validate code fixes, including reviewing and managing pull requests (PRs) Support regression, integration, and load testing activities for remediated applications Collaborate with cross-functional teams to ensure high-quality software delivery Required Skills & Experience Proficiency in Java programming (core and advanced) Experiencie with LLMs Solid experience with MS SQL Server Familiarity with Azure More ❯

complex problems and delivering scalable solutions that create real business impact. You’re proactive, hands-on, and comfortable working across both technical and business domains. ✅ Key technical skills: Strong SQL and ELT/data pipeline development experience Expertise in Data Warehouse & Data Lake design (including Star Schema, Snowflake Schema, Data Vault) Hands-on experience with enterprise databases: Oracle, Snowflake, Teradata … or SQL Server Solid understanding of AWS (S3, Lambda, IAM, etc.) Proficiency in Python (especially working with Boto3 and AWS APIs) Familiarity with data replication tools (e.g., AWS DMS) Understanding of MLOps and modern data science platforms is a plus Experience working in Agile environments 🌟 What we offer: Up to £90,000 + discretionary annual bonus 28 days holiday (with More ❯

Proven experience in data management, 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 in the company's Edinburgh More ❯

understanding of CI/CD, 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 on Offer: High-trust, flexible More ❯

ll have good Problem-solving 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 deployments, proficient in using orchestrations More ❯

mentoring and coaching Data Scientists/Data Analysts Experience of managing multiple senior stakeholders A broad understanding of data science, BI and analytics tools and languages, such as Tableau, SQL, R, Python In-depth experience of applying analytics/data science techniques including the use of predictive modelling, data mining and/or the analysis of large data sets Experience More ❯

data used in the production of SG-based client services. Contribute to maintenance and creation of new tools to improve operational efficiency on data manipulation (e.g. via Python/SQL/VBA) Sourcing market data using various third-party software solutions. Develop and maintain internal workflow processes and tools to automate service delivery. Quality assurance and user acceptance testing of … customer focus and a desire to go the extra mile. Desirable Skills: Knowledge of financial mathematics and quantitative/statistical analysis. Knowledge of database management systems and Python/SQL query construction. Basic knowledge of software programming. Basic understanding of service management best practice and processes. The Department/Team Moody's Analytics provides financial intelligence and analytical tools supporting More ❯

technical solutions. About the Candidate 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 non-technical stakeholders. Strong communicator More ❯