776 to 800 of 5,348 SQL Jobs in the UK excluding London

/Junior - Computer Gaming Co - Manchester (Tech stack: Graduate/Junior .NET Developer, .NET 9, ASP.NET, C#, React, Angular 19, Microservices, Vue.js, TypeScript, Azure, Web API 2, Agile, Azure SQL, Programmer, Full Stack Engineer, Architect, Graduate/Junior, .NET Developer) Having sold over 100 million games consoles and over 500 million games over the last decade, my client is undoubtedly More ❯

metadata-driven ingestion, and transformation pipelines. Experience with Master Data Management (MDM) , data cataloguing, and managing data lineage. Familiarity with Azure Cloud Services , including DataBricks, Azure Data Factory, Azure SQL, CosmosDB, and related services. Proficient in Microsoft SQL Server; skilled in designing and maintaining data warehouses, data lakes, and lakehouses. Experienced with structured and unstructured datasets and designing data applications More ❯

metadata-driven ingestion, and transformation pipelines. Experience with Master Data Management (MDM) , data cataloguing, and managing data lineage. Familiarity with Azure Cloud Services , including DataBricks, Azure Data Factory, Azure SQL, CosmosDB, and related services. Proficient in Microsoft SQL Server; skilled in designing and maintaining data warehouses, data lakes, and lakehouses. Experienced with structured and unstructured datasets and designing data applications More ❯

metadata-driven ingestion, and transformation pipelines. Experience with Master Data Management (MDM) , data cataloguing, and managing data lineage. Familiarity with Azure Cloud Services , including DataBricks, Azure Data Factory, Azure SQL, CosmosDB, and related services. Proficient in Microsoft SQL Server; skilled in designing and maintaining data warehouses, data lakes, and lakehouses. Experienced with structured and unstructured datasets and designing data applications More ❯

What We're Looking For: Proven experience in C# and .NET for back-end development Proven experience of AWS Serverless services ( Lambda, API Gateway, DynamoDB, S3, FarGate, EventBridge etc.) SQL expertise, including database design and query optimization Knowledge of DevOps practices and CI/CD pipelines. Strong experience with Docker Proficiency with Git and automated deployment strategies. Ability to work More ❯

insights. Ability to validate KPIs and metrics aligned with operational goals across departments. • Data Modeling & Snowflake Expertise: Proficiency in designing scalable and efficient data models using Snowflake. Experience with SQL for querying, transforming, and preparing data for analysis and visualization. Understanding of data warehousing principles and dimensional modeling. • Data Integration and ETL: Knowledge of ETL processes, data extraction, and transformation … along with experience in SQL and data connectors. • Data Analysis and Visualization: Skills in visualizing data (Qlik Sense), selecting appropriate chart types, and creating user-friendly, interactive dashboards. Understanding of how data structures and logic impact visualization performance and usability. • Problem-Solving and Critical Thinking: Ability to analyze and troubleshoot data issues, application errors, and performance concerns. • Communication: Effective at More ❯

What We're Looking For: Proven experience in C# and .NET for back-end development Proven experience of AWS Serverless services ( Lambda, API Gateway, DynamoDB, S3, FarGate, EventBridge etc.) SQL expertise, including database design and query optimization Knowledge of DevOps practices and CI/CD pipelines. Strong experience with Docker Proficiency with Git and automated deployment strategies. Ability to work More ❯

required. Implement solutions independently or collaboratively as part of the team. Person Specification Essential skills will include: Strong experience with Power BI, including DAX and Power Query. Proficient in SQL and data modelling principles. Experience designing and building interactive dashboards and reports. Ability to translate complex requirements into effective data solutions. Good understanding of Agile methodologies. Strong analytical and problem More ❯

required. Implement solutions independently or collaboratively as part of the team. Person Specification Essential skills will include: Strong experience with Power BI, including DAX and Power Query. Proficient in SQL and data modelling principles. Experience designing and building interactive dashboards and reports. Ability to translate complex requirements into effective data solutions. Good understanding of Agile methodologies. Strong analytical and problem More ❯

and semantic model design • Experience working with Power BI Premium and optimising for performance and scalability • Strong understanding of data architecture principles (e.g. star schema, data lakehouse environments) • Solid SQL experience for data transformation, validation, and extraction • Proven experience building reusable, governed datasets across reporting domains • Demonstrated ability to automate manual reporting processes in a commercial environment • Experience supporting and More ❯

manage multiple priorities. Strong numerical reasoning and analytical ability. Advanced Excel and Power BI (or similar) skills. Experience in the insurance industry. Desirable Marine or specialty lines insurance experience. SQL and Power Query proficiency. Experience with data governance. Chartered Insurance Institute qualifications. Understanding of reinsurance. To apply for this role please submit your CV or contact Dillon Blackburn on or More ❯

professional services, or corporate environment. Excellent understanding of data governance frameworks, regulatory compliance, and risk mitigation. Proven knowledge of AI and automation initiatives with measurable business outcomes. Experience with SQL, data orchestration tools, and Power BI. Familiarity with cloud platforms such as Azure is desirable. Demonstrated ability to influence senior stakeholders and communicate complex data concepts to non-technical audiences. More ❯

professional services, or corporate environment. Excellent understanding of data governance frameworks, regulatory compliance, and risk mitigation. Proven knowledge of AI and automation initiatives with measurable business outcomes. Experience with SQL, data orchestration tools, and Power BI. Familiarity with cloud platforms such as Azure is desirable. Demonstrated ability to influence senior stakeholders and communicate complex data concepts to non-technical audiences. More ❯

professional services, or corporate environment. Excellent understanding of data governance frameworks, regulatory compliance, and risk mitigation. Proven knowledge of AI and automation initiatives with measurable business outcomes. Experience with SQL, data orchestration tools, and Power BI. Familiarity with cloud platforms such as Azure is desirable. Demonstrated ability to influence senior stakeholders and communicate complex data concepts to non-technical audiences. More ❯

professional services, or corporate environment. Excellent understanding of data governance frameworks, regulatory compliance, and risk mitigation. Proven knowledge of AI and automation initiatives with measurable business outcomes. Experience with SQL, data orchestration tools, and Power BI. Familiarity with cloud platforms such as Azure is desirable. Demonstrated ability to influence senior stakeholders and communicate complex data concepts to non-technical audiences. More ❯

data products Mentor junior engineers and contribute to engineering best practices Required Skills & Experience: 5+ years of experience building and maintaining data pipelines in production environments Strong Python and SQL skills (Pandas, PySpark, query optimisation) Cloud experience (AWS preferred) including S3, Redshift, Glue, Lambda Familiarity with data warehousing (Redshift, Snowflake, BigQuery) Experience with workflow orchestration tools (Airflow, Dagster, Prefect) Understanding More ❯

data products Mentor junior engineers and contribute to engineering best practices Required Skills & Experience: 5+ years of experience building and maintaining data pipelines in production environments Strong Python and SQL skills (Pandas, PySpark, query optimisation) Cloud experience (AWS preferred) including S3, Redshift, Glue, Lambda Familiarity with data warehousing (Redshift, Snowflake, BigQuery) Experience with workflow orchestration tools (Airflow, Dagster, Prefect) Understanding More ❯

data products Mentor junior engineers and contribute to engineering best practices Required Skills & Experience: 5+ years of experience building and maintaining data pipelines in production environments Strong Python and SQL skills (Pandas, PySpark, query optimisation) Cloud experience (AWS preferred) including S3, Redshift, Glue, Lambda Familiarity with data warehousing (Redshift, Snowflake, BigQuery) Experience with workflow orchestration tools (Airflow, Dagster, Prefect) Understanding More ❯

experience with modern software development and release engineering practices (e.g. TDD, CI/CD). • Experience with Apache Spark or any other distributed data programming frameworks. • Comfortable writing efficient SQL and debugging on cloud warehouses like Databricks SQL or Snowflake. • Experience with cloud infrastructure like AWS or Azure. • Experience with Linux and containerisation (e.g Docker, shell scripting). • Understanding Data More ❯

experience with modern software development and release engineering practices (e.g. TDD, CI/CD). • Experience with Apache Spark or any other distributed data programming frameworks. • Comfortable writing efficient SQL and debugging on cloud warehouses like Databricks SQL or Snowflake. • Experience with cloud infrastructure like AWS or Azure. • Experience with Linux and containerisation (e.g Docker, shell scripting). • Understanding Data More ❯

experience with modern software development and release engineering practices (e.g. TDD, CI/CD). • Experience with Apache Spark or any other distributed data programming frameworks. • Comfortable writing efficient SQL and debugging on cloud warehouses like Databricks SQL or Snowflake. • Experience with cloud infrastructure like AWS or Azure. • Experience with Linux and containerisation (e.g Docker, shell scripting). • Understanding Data More ❯

experience with modern software development and release engineering practices (e.g. TDD, CI/CD). • Experience with Apache Spark or any other distributed data programming frameworks. • Comfortable writing efficient SQL and debugging on cloud warehouses like Databricks SQL or Snowflake. • Experience with cloud infrastructure like AWS or Azure. • Experience with Linux and containerisation (e.g Docker, shell scripting). • Understanding Data More ❯

experience with modern software development and release engineering practices (e.g. TDD, CI/CD). • Experience with Apache Spark or any other distributed data programming frameworks. • Comfortable writing efficient SQL and debugging on cloud warehouses like Databricks SQL or Snowflake. • Experience with cloud infrastructure like AWS or Azure. • Experience with Linux and containerisation (e.g Docker, shell scripting). • Understanding Data More ❯

a Data Engineer, ideally in a pharmaceutical, biotech, or regulated manufacturing environment. Strong hands-on experience with: Snowflake (architecture, performance tuning, cost optimisation) DBT (model development, testing, documentation, deployment) SQL (advanced query optimisation and debugging) Experience with data integration and orchestration tools (Airflow, Dagster, Prefect, or similar). Familiarity with cloud data platforms (AWS, Azure, or GCP). Contract: Initial More ❯

Oracle APEX: Proven experience developing complex, data-centric applications Strong Business Analysis (BA) capabilities: Self-starter with the ability to independently engage SMEs and document requirements Oracle PL/SQL: Solid coding and troubleshooting skills; performance tuning and DBA knowledge is a strong advantage Experience with Avaloq: Familiarity with Avaloq's physical data layer is essential Knowledge of data quality More ❯