51 to 75 of 5,259 SQL Jobs in the UK excluding London

Full Stack Software Developer - C#/Web/SQL - up to 45K plus benefits Location: Cowes, Isle of Wight We're looking for an experienced Full Stack Software Developer to join an experienced team, with strong skills in C#, web technologies (HTML5, CSS3, JavaScript/TypeScript), and SQL Server. You'll work on Microsoft Windows-based applications, contributing to the … with opportunities to lead technical work and mentor others. Key Requirements: Degree or Diploma in Computer Science or similar 3+ years in full stack development Strong experience with C#, SQL Server, and web technologies Understanding of the full software development lifecycle Excellent communication and problem-solving skills Experience working within structured development and quality systems Desirable Skills: ASP.NET Core, Visual … Studio, Azure DevOps, GitHub JavaScript frameworks (e.g. Vue.js, React) Power BI or SQL Server Reporting Services Cloud technologies and JSON Salary: up to 45K plus 25 days holiday, Company pension, bonus, healthcare, and opportunities for growth and occasional international travel This is an exciting opportunity to join a growing team. If you're ready to develop your career in a More ❯

client workshops, requirement gathering, and solution design **sessions. Required Skills &** Experience Proven experience with Microsoft Fabric and its components (Data Factory, Lakehouse, Powe - r BI, etc.).Strong proficiency in SQL, DAX, and Powe - r Query (M).Experience with Azure Data Services (e.g., Azure Synapse, Azure Data Lake, - Azure SQL).Solid understanding of data modelling, ETL processes, and BI a - rchitecture.Familiarity More ❯

scalable data pipelines to serve the easyJet analyst and data science community. Highly competent hands-on experience with relevant Data Engineering technologies, such as Databricks, Spark, Spark API, Python, SQL Server, Scala. Work with data scientists, machine learning engineers and DevOps engineers to develop, develop and deploy machine learning models and algorithms aimed at addressing specific business challenges and opportunities. … and software deployment automation with GitHub actions or Azure DevOps. Experience in testing automation of data transformation pipelines, using frameworks like Pytest or dbt Unit Test. Comfortable writing efficient SQL and debugging. Data warehouse operations and tunning experience in schema evolution, indexing, partitioning. Hands-on IaC development experience with Terraform or CloudFormation. Understanding of ML development workflow and knowledge of More ❯

scalable data pipelines to serve the easyJet analyst and data science community. Highly competent hands-on experience with relevant Data Engineering technologies, such as Databricks, Spark, Spark API, Python, SQL Server, Scala. Work with data scientists, machine learning engineers and DevOps engineers to develop, develop and deploy machine learning models and algorithms aimed at addressing specific business challenges and opportunities. … and software deployment automation with GitHub actions or Azure DevOps. Experience in testing automation of data transformation pipelines, using frameworks like Pytest or dbt Unit Test. Comfortable writing efficient SQL and debugging. Data warehouse operations and tunning experience in schema evolution, indexing, partitioning. Hands-on IaC development experience with Terraform or CloudFormation. Understanding of ML development workflow and knowledge of More ❯

scalable data pipelines to serve the easyJet analyst and data science community. Highly competent hands-on experience with relevant Data Engineering technologies, such as Databricks, Spark, Spark API, Python, SQL Server, Scala. Work with data scientists, machine learning engineers and DevOps engineers to develop, develop and deploy machine learning models and algorithms aimed at addressing specific business challenges and opportunities. … and software deployment automation with GitHub actions or Azure DevOps. Experience in testing automation of data transformation pipelines, using frameworks like Pytest or dbt Unit Test. Comfortable writing efficient SQL and debugging. Data warehouse operations and tunning experience in schema evolution, indexing, partitioning. Hands-on IaC development experience with Terraform or CloudFormation. Understanding of ML development workflow and knowledge of More ❯

scalable data pipelines to serve the easyJet analyst and data science community. Highly competent hands-on experience with relevant Data Engineering technologies, such as Databricks, Spark, Spark API, Python, SQL Server, Scala. Work with data scientists, machine learning engineers and DevOps engineers to develop, develop and deploy machine learning models and algorithms aimed at addressing specific business challenges and opportunities. … and software deployment automation with GitHub actions or Azure DevOps. Experience in testing automation of data transformation pipelines, using frameworks like Pytest or dbt Unit Test. Comfortable writing efficient SQL and debugging. Data warehouse operations and tunning experience in schema evolution, indexing, partitioning. Hands-on IaC development experience with Terraform or CloudFormation. Understanding of ML development workflow and knowledge of More ❯

scalable data pipelines to serve the easyJet analyst and data science community. Highly competent hands-on experience with relevant Data Engineering technologies, such as Databricks, Spark, Spark API, Python, SQL Server, Scala. Work with data scientists, machine learning engineers and DevOps engineers to develop, develop and deploy machine learning models and algorithms aimed at addressing specific business challenges and opportunities. … and software deployment automation with GitHub actions or Azure DevOps. Experience in testing automation of data transformation pipelines, using frameworks like Pytest or dbt Unit Test. Comfortable writing efficient SQL and debugging. Data warehouse operations and tunning experience in schema evolution, indexing, partitioning. Hands-on IaC development experience with Terraform or CloudFormation. Understanding of ML development workflow and knowledge of More ❯

secure data pipelines using NiFi and related big data technologies. Troubleshoot and optimize NiFi flows, including performance tuning, error resolution, and flow control. Integrate NiFi with cloud platforms, databases (SQL & NoSQL), APIs, and third-party systems. Ensure compliance with regulatory and security requirements across data storage, transfer, and access layers. Support data migration efforts and implement disaster recovery protocols. Continuously … SQL. Experience with C# and Scala is a plus. Experience with ETL tools and big data platforms. Knowledge of data modeling, replication, and query optimization. Hands-on experience with SQL and NoSQL databases is desirable. Familiarity with data warehousing solutions (e.g., Snowflake, Redshift, BigQuery) would be beneficial. Data Platform Management: Comfortable operating in hybrid environments (cloud and on-prem). More ❯

secure data pipelines using NiFi and related big data technologies. Troubleshoot and optimize NiFi flows, including performance tuning, error resolution, and flow control. Integrate NiFi with cloud platforms, databases (SQL & NoSQL), APIs, and third-party systems. Ensure compliance with regulatory and security requirements across data storage, transfer, and access layers. Support data migration efforts and implement disaster recovery protocols. Continuously … SQL. Experience with C# and Scala is a plus. Experience with ETL tools and big data platforms. Knowledge of data modeling, replication, and query optimization. Hands-on experience with SQL and NoSQL databases is desirable. Familiarity with data warehousing solutions (e.g., Snowflake, Redshift, BigQuery) would be beneficial. Data Platform Management: Comfortable operating in hybrid environments (cloud and on-prem). More ❯

and CI/CD pipelines. Key Skills: Proven experience in Python programming for data analysis (pandas, numpy, Jupyter). Strong object-oriented programming and design pattern knowledge. Experience with SQL and relational databases. Familiarity with data visualisation tools (e.g., Plotly Dash, Power BI). Understanding of software development best practices (Git, CI/CD, testing). Exposure to cloud computing More ❯

and CI/CD pipelines. Key Skills: Proven experience in Python programming for data analysis (pandas, numpy, Jupyter). Strong object-oriented programming and design pattern knowledge. Experience with SQL and relational databases. Familiarity with data visualisation tools (e.g., Plotly Dash, Power BI). Understanding of software development best practices (Git, CI/CD, testing). Exposure to cloud computing More ❯

business-aligned applications and services that support investment operations, ensuring scalability, performance, and maintainability. Build and support data integration and transformation pipelines using tools such as Azure Data Factory, SQL, and Power Platform, and work across a broad and evolving technology stack, adapting quickly to new tools and platforms as needed. Collaborate directly with business stakeholders to understand requirements and … Management or Finance Technology environment Flexibility across technologies and drive to learn about the business and future technology Strong understanding of DevOps tooling and code deployment Solid foundation in SQL and Python Exposure to Power Platform, including Power BI and Power Automate Familiarity with Azure DevOps (or equivalent), CI/CD pipelines, and Agile delivery Innovative approach to problem solving More ❯

technical direction and project outcomes. What You'll Need 4+ years of data engineering experience , including at least 2 years hands-on with modern data platforms. Strong proficiency in SQL , data modelling, and query optimisation. Practical experience with Snowflake, Databricks, AWS Redshift, or Microsoft Fabric . Solid understanding of ETL/ELT pipelines and data warehousing principles . Strong communication More ❯

influence technical direction and project outcomes. What Youll Need 4+ years of data engineering experience , including at least 2 years hands-on with modern data platforms. Strong proficiency in SQL , data modelling, and query optimisation. Practical experience with Snowflake, Databricks, AWS Redshift, or Microsoft Fabric . Solid understanding of ETL/ELT pipelines and data warehousing principles . Strong communication More ❯

influence technical direction and project outcomes. What Youll Need 4+ years of data engineering experience , including at least 2 years hands-on with modern data platforms. Strong proficiency in SQL , data modelling, and query optimisation. Practical experience with Snowflake, Databricks, AWS Redshift, or Microsoft Fabric . Solid understanding of ETL/ELT pipelines and data warehousing principles . Strong communication More ❯

technical direction and project outcomes. What You’ll Need 4+ years of data engineering experience , including at least 2 years hands-on with modern data platforms. Strong proficiency in SQL , data modelling, and query optimisation. Practical experience with Snowflake, Databricks, AWS Redshift, or Microsoft Fabric . Solid understanding of ETL/ELT pipelines and data warehousing principles . Strong communication More ❯

job instead. •Professional experience in full stack software development, ideally in a data-focused or product orientated environment. •Strong backend development experience, particularly with structured and unstructured data (e.g. SQL, NoSQL, data lakes). •Proficient in modern front-end technologies (HTML/CSS, JavaScript, React or similar). •Experience working with containerised applications (e.g. Docker, Swarm or Kubernetes) in a More ❯

job instead. •Professional experience in full stack software development, ideally in a data-focused or product orientated environment. •Strong backend development experience, particularly with structured and unstructured data (e.g. SQL, NoSQL, data lakes). •Proficient in modern front-end technologies (HTML/CSS, JavaScript, React or similar). •Experience working with containerised applications (e.g. Docker, Swarm or Kubernetes) in a More ❯

job instead. •Professional experience in full stack software development, ideally in a data-focused or product orientated environment. •Strong backend development experience, particularly with structured and unstructured data (e.g. SQL, NoSQL, data lakes). •Proficient in modern front-end technologies (HTML/CSS, JavaScript, React or similar). •Experience working with containerised applications (e.g. Docker, Swarm or Kubernetes) in a More ❯

job instead. •Professional experience in full stack software development, ideally in a data-focused or product orientated environment. •Strong backend development experience, particularly with structured and unstructured data (e.g. SQL, NoSQL, data lakes). •Proficient in modern front-end technologies (HTML/CSS, JavaScript, React or similar). •Experience working with containerised applications (e.g. Docker, Swarm or Kubernetes) in a More ❯

Scala. Deep understanding of data warehousing principles, data modelling techniques, and data integration patterns. Extensive experience with Azure data services, including Azure Data Factory, Azure Blob Storage, and Azure SQL Database. Experience working with large datasets and complex data pipelines. Experience with data architecture design and data pipeline optimization. Proven expertise with Databricks, including hands-on implementation experience and certifications. … Experience with SQL and NoSQL databases. Experience with data quality and data governance processes. Experience with version control systems (e.g., Git). Experience with Agile development methodologies. Excellent communication, interpersonal, and problem-solving skills. Experience with streaming data technologies (e.g., Kafka, Azure Event Hubs). Experience with data visualisation tools (e.g., Tableau, Power BI). Experience with DevOps tools and More ❯

Scala. Deep understanding of data warehousing principles, data modelling techniques, and data integration patterns. Extensive experience with Azure data services, including Azure Data Factory, Azure Blob Storage, and Azure SQL Database. Experience working with large datasets and complex data pipelines. Experience with data architecture design and data pipeline optimization. Proven expertise with Databricks, including hands-on implementation experience and certifications. … Experience with SQL and NoSQL databases. Experience with data quality and data governance processes. Experience with version control systems (e.g., Git). Experience with Agile development methodologies. Excellent communication, interpersonal, and problem-solving skills. Experience with streaming data technologies (e.g., Kafka, Azure Event Hubs). Experience with data visualisation tools (e.g., Tableau, Power BI). Experience with DevOps tools and More ❯

technical support where needed. Mentor and support junior developers to encourage best practice adoption. Skills & Experience Minimum of 8-9 years' relevant development experience. Strong technical expertise with: MS SQL Server (T-SQL, stored procedures, functions) SSIS/ETL tools (Informatica preferred) Web APIs & SOA .NET Framework, .NET Core, ASP.NET, MVC Additional beneficial skills: SSAS/SSRS Tableau or Power More ❯

technical support where needed. Mentor and support junior developers to encourage best practice adoption. Skills & Experience Minimum of 8–9 years’ relevant development experience. Strong technical expertise with: MS SQL Server (T-SQL, stored procedures, functions) SSIS/ETL tools (Informatica preferred) Web APIs & SOA .NET Framework, .NET Core, ASP.NET, MVC ✅ Additional beneficial skills: SSAS/SSRS Tableau or Power More ❯

technical support where needed. Mentor and support junior developers to encourage best practice adoption. Skills & Experience Minimum of 8–9 years’ relevant development experience. Strong technical expertise with: MS SQL Server (T-SQL, stored procedures, functions) SSIS/ETL tools (Informatica preferred) Web APIs & SOA .NET Framework, .NET Core, ASP.NET, MVC ✅ Additional beneficial skills: SSAS/SSRS Tableau or Power More ❯