1 to 25 of 72 SQL Jobs in Edinburgh

as web services. Proficiency in frontend technologies (HTML, CSS, JavaScript) and frameworks including React, Angular, and Solid backend development skills in Go, Java, Python, REST, or GraphQL. Experienced with SQL, NoSQL, and various databases. Familiar with cloud platforms (AWS, Google Cloud, Azure) and their service ecosystems. Deep understanding of security best practices and implementation. Skilled in DevOps tools and methodologies More ❯

a preference for Microsoft Fabric and other cloud-native platforms. Develop and maintain robust data models (conceptual, logical, physical) across relational, dimensional, and NoSQL paradigms. Write and optimize complex SQL queries and Python scripts for data processing, transformation, and analysis. Apply data architecture frameworks such as TOGAF and DAMA-DMBOK to guide enterprise data strategy and governance. Design and implement More ❯

Terraform for Azure, Snowflake, and related platforms. Experience with Azure DevOps CI/CD pipelines, including YAML pipeline creation, artifact management, and automated secrets handling. Good Scripting skills in SQL, PowerShell, and Python, combined with a strong understanding of security, compliance, and agile delivery methodologies.About the department We are proud to be a Disability Confident Committed employer. If you have More ❯

continue to grow, the demand for qualified entry-level professionals is on the rise. With our Data Analytics career programme we will provide you with: 8 training modules: Excel, SQL, Python, R, Tableau, Power BI, CompTIA Data+ & Azure AI Fundamentals 3 official examinations: Microsoft Power BI Data Analyst, CompTIA Data+, & Microsoft Azure AI Fundamentals 100+ hours of live instructor-led More ❯

continue to grow, the demand for qualified entry-level professionals is on the rise. With our Data Analytics career programme we will provide you with: 8 training modules: Excel, SQL, Python, R, Tableau, Power BI, CompTIA Data+ & Azure AI Fundamentals 3 official examinations: Microsoft Power BI Data Analyst, CompTIA Data+, & Microsoft Azure AI Fundamentals 100+ hours of live instructor-led More ❯

networks. Strong understanding of dimensional and normalized data modelling techniques. Hands-on expertise in dbt for data transformation and pipeline orchestration. Solid background in data engineering with proficiency in SQL and Python. Experience with ELT/ETL frameworks and modern data stack tools. Knowledge of data governance, access control, and privacy best practices. Proficiency in applying AI foundations to ensure More ❯

driven. Therefore, we will provide you 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 analysts. Learn Tableau - Tableu More ❯

the Asset Management/Custody/Fund Services industries, and supporting technology and business processes Ability to extract and analyse data using a variety of tools such as Excel, SQL etc. Knowledge of diagram tools (like Visio) and knowledge of various modelling techniques Strong business analysis and good interpersonal skills Strategic mindset with strong conceptual, creative and analytical approach Strong More ❯

the Asset Management/Custody/Fund Services industries, and supporting technology and business processes Ability to extract and analyse data using a variety of tools such as Excel, SQL etc. Knowledge of diagram tools (like Visio) and knowledge of various modelling techniques Strong business analysis and good interpersonal skills Strategic mindset with strong conceptual, creative and analytical approach Strong More ❯

technical solutions. About the Candidate The ideal candidate will possess the following: Experience with data modelling tools and techniques (eg, ER/Studio, ERwin, UML, etc.). Proficiency in SQL/Python and data manipulation. Knowledge of Snowflake & Azure Understanding of data architecture principles and data governance. Good understanding of database management, design best practices and enterprise-level data architecture. More ❯

Financials, Procurement, SCM), including both on-premise and Cloud applications. Ability to understand and map end-to-end finance, procurement, and supply chain processes to system solutions. Proficient in SQL, Oracle reporting tools (BI Publisher, OTBI), data migration (FBDI, ADFdi), and integration platforms like Oracle Integration Cloud. Skilled in diagnosing complex issues, performing root cause analysis, and delivering data-driven More ❯

You'll be hands-on with AWS, Azure, or GCP, working in a collaborative environment that values innovation, quality, and teamwork. What you'll bring: Solid experience with Python, SQL, Spark, and Airflow Confident working across AWS, Azure, or GCP Great communication skills - able to work with both tech and business teams Comfortable in a consultancy environment Experience in the More ❯

You’ll be hands-on with AWS, Azure, or GCP, working in a collaborative environment that values innovation, quality, and teamwork. 💡 What you’ll bring: Solid experience with Python, SQL, Spark, and Airflow Confident working across AWS, Azure, or GCP Great communication skills — able to work with both tech and business teams Comfortable in a consultancy environment Experience in the More ❯

Azure, or GCP) Implementing and optimising modern data architectures (e.g. Databricks, Snowflake) Collaborating with multidisciplinary teams to deliver real business value What were looking for Strong experience with Python, SQL , and pipeline tools such as dbt or Airflow Proven background in data modelling, warehousing, and performance optimisation Hands-on experience with cloud data services (Glue, Lambda, Synapse, BigQuery, etc.) A More ❯

or GCP) Implementing and optimising modern data architectures (e.g. Databricks, Snowflake) Collaborating with multidisciplinary teams to deliver real business value What we re looking for Strong experience with Python, SQL , and pipeline tools such as dbt or Airflow Proven background in data modelling, warehousing, and performance optimisation Hands-on experience with cloud data services (Glue, Lambda, Synapse, BigQuery, etc.) A More ❯

or GCP) Implementing and optimising modern data architectures (e.g. Databricks, Snowflake) Collaborating with multidisciplinary teams to deliver real business value What we’re looking for Strong experience with Python, SQL , and pipeline tools such as dbt or Airflow Proven background in data modelling, warehousing, and performance optimisation Hands-on experience with cloud data services (Glue, Lambda, Synapse, BigQuery, etc.) A More ❯

driven. Therefore, we will provide you 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 analysts. Learn Tableau - Tableu More ❯

third-party tools Technical Skills Required: Strong hands-on experience with the Smallworld Product Suite (PNI, Core SW4/SW5, Electric Office) Proficiency in Magik and Java Experience with SQL , Oracle , and VMDS Familiarity with customer-specific customisations and third-party integrations Nice to Have: Exposure to ESRI ArcGIS and OpenGIS standards Understanding of SDLC best practices Qualifications Bachelor's More ❯

partners and internal teams to drive a culture of continuous improvement around reporting and process improvement. What You’ll Bring A proven track record in commercial data analysis. Strong SQL skills and Power BI expertise. A knack for translating business needs into real-world solutions. Excellent communication skills - ability to act as a bridge between tech and non-tech teams. More ❯

or internal MDM systems Familiarity with data modelling lineage and metadata management principles Ability to interpret and translate operational requirements into data management and technology solutions Handson exposure to SQL data analysis tools and reporting frameworks advantageous Excellent stakeholder management documentation and communication skills able to bridge Operations and Technology teams Prior experience in regulatory reporting or control functions is More ❯

or internal MDM systems Familiarity with data modelling lineage and metadata management principles Ability to interpret and translate operational requirements into data management and technology solutions Handson exposure to SQL data analysis tools and reporting frameworks advantageous Excellent stakeholder management documentation and communication skills able to bridge Operations and Technology teams Prior experience in regulatory reporting or control functions is More ❯

or internal MDM systems Familiarity with data modelling lineage and metadata management principles Ability to interpret and translate operational requirements into data management and technology solutions Handson exposure to SQL data analysis tools and reporting frameworks advantageous Excellent stakeholder management documentation and communication skills able to bridge Operations and Technology teams Prior experience in regulatory reporting or control functions is More ❯

systems). Familiarity with data modelling, lineage, and metadata management principles. Ability to interpret and translate operational requirements into data management and technology solutions . Hands-on exposure to SQL , data analysis tools , and reporting frameworks advantageous. Excellent stakeholder management, documentation, and communication skills - able to bridge Operations and Technology teams. Prior experience in regulatory reporting or control functions is More ❯

systems). Familiarity with data modelling, lineage, and metadata management principles. Ability to interpret and translate operational requirements into data management and technology solutions . Hands-on exposure to SQL , data analysis tools , and reporting frameworks advantageous. Excellent stakeholder management, documentation, and communication skills – able to bridge Operations and Technology teams. Prior experience in regulatory reporting or control functions is More ❯

internal MDM systems). Strong knowledge of data modeling, lineage, and metadata management concepts. Ability to translate operational requirements into data management and technology solutions. Hands-on experience with SQL, data analysis tools, or reporting frameworks is an advantage. Excellent stakeholder management, documentation, and communication skills, with the ability to bridge Operations and Technology. Prior exposure to regulatory reporting or More ❯