326 to 350 of 4,084 SQL Jobs in England

and Dataverse . Strong integration skills with Azure Logic Apps , REST/SOAP APIs , and KingswaySoft . Experience with CI/CD , DevOps , and GIT version control. Proficient in SQL , SSIS , and Azure Data Factory (ADF) . Working knowledge of Agile/SCRUM and OWASP principles. Excellent stakeholder management, communication, and problem-solving skills. Desirable Exposure to Copilot and AI More ❯

Support self-service analytics through Power BI and QlikSense Implement best practices for data modelling, governance, and optimisation What You'll Bring Experience with ETL/ELT development and SQL/Python scripting Hands-on knowledge of Snowflake and cloud data platforms (Azure, AWS, or GCP) Understanding of data modelling , automation , and BI tools A collaborative, problem-solving mindset and More ❯

or Data Architect working with Microsoft Azure. Strong expertise in data modelling, data warehousing, and ETL development. Hands-on experience with Azure Data Factory, Azure Data Lake, and Azure SQL Database. Exposure to big data technologies such as Hadoop, Spark, and Databricks. Experience with Azure Synapse Analytics or Cosmos DB. Familiarity with data governance frameworks (e.g., GDPR, HIPAA). Experience More ❯

or Data Architect working with Microsoft Azure. Strong expertise in data modelling, data warehousing, and ETL development. Hands-on experience with Azure Data Factory, Azure Data Lake, and Azure SQL Database. Exposure to big data technologies such as Hadoop, Spark, and Databricks. Experience with Azure Synapse Analytics or Cosmos DB. Familiarity with data governance frameworks (e.g., GDPR, HIPAA). Experience More ❯

Studio, VA, VI). Familiarity with Platform LSF , Jira , and GIT . Hands-on experience with ETL tools: Pentaho , Talend . Data virtualization experience with Denodo . Proficiency in SQL and data modeling. Knowledge of Oracle (nice to have). Solid understanding of Agile/Scrum frameworks. Experience with DevOps tools (Jenkins, Git, Docker, Kubernetes). Excellent problem-solving and More ❯

Studio, VA, VI). Familiarity with Platform LSF , Jira , and GIT . Hands-on experience with ETL tools: Pentaho , Talend . Data virtualization experience with Denodo . Proficiency in SQL and data modeling. Knowledge of Oracle (nice to have). Solid understanding of Agile/Scrum frameworks. Experience with DevOps tools (Jenkins, Git, Docker, Kubernetes). Excellent problem-solving and More ❯

at least one of: Python, C++, C#, Java, or JavaScript Curiosity and problem-solving mindset — you love figuring things out Comfortable learning new technologies quickly Bonus: experience with Git, SQL, or personal projects you can show off Why You’ll Love It Here Impact: You’ll write code that ships — not sit on sidelines Growth: Weekly mentoring, technical training, and More ❯

reviews, sprint planning, code reviews, and knowledge sharing. Requirements: Strong experience in backend systems and technologies, such as .NET 8 or 9, C# or Golang etc Experience in various SQL dialects, including MySQL, MSSQL, PostgreSQL Familiarity with Redis, ElasticSearch and REST APIs Experience with Windows-based development: services, scheduled tasks, web servers (e.g. IIS) Experience with containers such as Docker More ❯

and optimisation. Familiarity with derivatives pricing, risk metrics, and financial instruments across asset classes. Experience building low-latency systems and optimising performance for computational workloads. Proficient in working with SQL and managing large financial datasets. Knowledge of cloud platforms (Azure, AWS) and DevOps tools (Git, CI/CD) desirable. Excellent problem-solving and analytical skills, with a keen attention to More ❯

platforms (Azure, AWS or GCP). Desirable: Background in recruitment or professional services. Knowledge of CRM/ATS systems and their integration with MDM platforms. Experience with Power BI, SQL or Python for data validation and reporting. Exposure to Microsoft Fabric. What's on Offer A genuine opportunity to build and own the organisation's MDM vision from the ground More ❯

Azure/AWS or significant on-premise design experience. 5+ years in data engineering or business intelligence roles. Extensive ETL and data pipeline design experience, technology agnostic. Proficiency in SQL and experience with data engineering coding languages such as Python, R, or Spark. Understanding of data warehouse and data lake principles. Experience with data visualisation tools such as PowerBI or More ❯

background in data mining, pattern recognition, and anomaly detection to improve service delivery. Proficient in Python, R, or other relevant programming languages used for data science. Strong skills in SQL and experience working with large databases and data warehouses. Ability to create intuitive and informative visualisations using tools such as Power BI, Tableau, or similar platforms. Familiarity with cloud-based More ❯

background in data mining, pattern recognition, and anomaly detection to improve service delivery. Proficient in Python, R, or other relevant programming languages used for data science. Strong skills in SQL and experience working with large databases and data warehouses. Ability to create intuitive and informative visualisations using tools such as Power BI, Tableau, or similar platforms. Familiarity with cloud-based More ❯

a plus/• Working knowledge of CRM’s interoperability capability with MS Office, MS Office 365, SharePoint, Azure and MS BI Stack • C#/VB.net, ADO.Net, XML, T/SQL, JQuery, JavaScript, Web Services, ASP.NET, and Silverlight skills • Experience in leading a Team • PowerApps Preferred • Planning and Prioritization skills • Experience in capturing requirements related to internal/external consulting, documenting More ❯

a plus/• Working knowledge of CRM’s interoperability capability with MS Office, MS Office 365, SharePoint, Azure and MS BI Stack • C#/VB.net, ADO.Net, XML, T/SQL, JQuery, JavaScript, Web Services, ASP.NET, and Silverlight skills • Experience in leading a Team • PowerApps Preferred • Planning and Prioritization skills • Experience in capturing requirements related to internal/external consulting, documenting More ❯

in data science, analytics, or applied machine learning. Strong coding ability in Python (or equivalent), with familiarity across cloud platforms (AWS, Azure, or GCP). Understanding of database technologies (SQL and NoSQL). Experience with CI/CD pipelines, software engineering best practice, and modern development workflows. Excellent communication and interpersonal skills — able to influence, advise, and collaborate effectively. Evidence More ❯

in data science, analytics, or applied machine learning. Strong coding ability in Python (or equivalent), with familiarity across cloud platforms (AWS, Azure, or GCP). Understanding of database technologies (SQL and NoSQL). Experience with CI/CD pipelines, software engineering best practice, and modern development workflows. Excellent communication and interpersonal skills — able to influence, advise, and collaborate effectively. Evidence More ❯

to turn data into something powerful. You'll bring: 3+ years' experience in data engineering or cloud platform development (including Azure, AWS, GCP, Snowflake or Databricks) Strong proficiency in SQL and Python. Proven experience with CI/CD tools, DevOps, and automation practices. Solid understanding of data modelling, orchestration, and workflow management. A desire to lead by example and elevate More ❯

with a data warehousing solution preferrably Snowflake. Excellent data modelling and analytics techniques preferrably dbt (for transforming raw data into meaningful insights within modern data warehouses) Strong Python and SQL coding skills. JavaScript is a plus but not required. Experience implementing development best practices including writing automated testing and CI/CD deployment. Responsibilities : Build and maintain reliable data pipelines More ❯

with a data warehousing solution preferrably Snowflake. Excellent data modelling and analytics techniques preferrably dbt (for transforming raw data into meaningful insights within modern data warehouses) Strong Python and SQL coding skills. JavaScript is a plus but not required. Experience implementing development best practices including writing automated testing and CI/CD deployment. Responsibilities : Build and maintain reliable data pipelines More ❯

and implementing row-level security in BusinessObjects. It would also be desirable to have experience developing custom BI products that require knowledge of scripting languages and programming languages like SQL, R, and Python. The BusinessObjects XI Developer/Analyst should be familiar with business intelligence and data analytics. They should have prior knowledge of data integration, data warehousing, modeling, business More ❯

and implementing row-level security in BusinessObjects. It would also be desirable to have experience developing custom BI products that require knowledge of scripting languages and programming languages like SQL, R, and Python. The BusinessObjects XI Developer/Analyst should be familiar with business intelligence and data analytics. They should have prior knowledge of data integration, data warehousing, modeling, business More ❯

a focus on cloud-based data pipelines and architectures Strong expertise in Microsoft Fabric and Databricks, including data pipeline development, data warehousing, and data lake management Proficiency in Python, SQL, Scala, or Java Experience with data processing frameworks such as Apache Spark, Apache Beam, or Azure Data Factory Strong understanding of data architecture principles, data modelling, and data governance Experience More ❯

preferred) Bachelor's degree in risk, business, data science, or related field (Master's or certifications like ARM/RIMS-CRMP a plus) Experience with data analytics tools (e.g., SQL, Python, Tableau, Power BI) preferred Understanding of AI/ML, data architecture, and business intelligence platforms Strong analytical and problem-solving skills Fluent English and high professional integrity Who You More ❯

tools such as Power BI, Azure Data Explorer, and Azure AI Services. Qualifications Key Competencies Demonstrable experience in data science, machine learning, or a related field. Proficiency in Python, SQL, or other programming languages for data analysis and machine learning. Experience with cloud platforms and services, preferably Azure, for data science and machine learning Experience with one or more generative More ❯