1 to 25 of 6,047 Permanent SQL Jobs in the UK

governance initiative by developing an exceptional reports Model business logic, extract key performance metrics, and create reusable data structures. Maintain data so that it remains available and usable,e.g. SQL (Basic, Advanced modelling, Efficient, Big Data and Programmatic) Support Data munging such as reshaping, aggregating, joining disparate sources, small-scale ETL, API interaction, and automation, e.g. Python Support the data … satisfaction, and more Role Requirements Degree-level education in the relevant subject (e.g. finance, maths, physics, etc.) Other beneficial qualifications (e.g. MBA, CFA, etc.) Proficient in Structured Query Language (SQL), Critical Thinking, R or Python-Statistical Programming, Data Visualisation, Presentation Skills, Machine Learning & Data Science techniques, Econometrics Strong Data Mapping skills, knowledge of Data Warehousing Concepts, and Logical Modelling Skills. … Skills and Abilities Platforms & Tools Cloud Computing platforms (ADLS Gen2), Microsoft Stack (Synapse, DataBricks, Fabric, Profisee), Azure Service Bus, Power BI, DeltaLake, Azure DevOps, Azure Monitor, Azure Data Factory, SQL Server, Azure DataLake Storage, Azure App service, Azure ML is a plus Languages: Python, SQL, T-SQL, SSIS DB: Azure SQL Database, Cosmos DB, NoSQL, Methodologies: Agile, DevOps must have More ❯

Job Title: Senior Data Analyst Primary skills: SQL, Python, Power BI/Tableau, Data Warehousing, Reinsurance Work location: City of London (3 days a week) Experience: 10 - 12 Yrs. About the job We are seeking a highly skilled Senior Data Analyst with expertise in Azure Services to play a pivotal role in designing and developing data solutions within our organization. … Data Analyst. Technical expertise regarding data models, database design development, data mining, and segmentation techniques. Strong knowledge of and experience with reporting packages (Business Objects, Tableau, Power BI), databases (SQL, etc.), programming (XML, JavaScript, or ETL frameworks), and data visualization (Power BI, Tableau, etc.). Demonstrated analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of More ❯

Job Title: Senior Data Analyst Primary skills: SQL, Python, Power BI/Tableau, Data Warehousing, Reinsurance Work location: City of London (3 days a week) Experience: 10 - 12 Yrs. About the job We are seeking a highly skilled Senior Data Analyst with expertise in Azure Services to play a pivotal role in designing and developing data solutions within our organization. … Data Analyst. Technical expertise regarding data models, database design development, data mining, and segmentation techniques. Strong knowledge of and experience with reporting packages (Business Objects, Tableau, Power BI), databases (SQL, etc.), programming (XML, JavaScript, or ETL frameworks), and data visualization (Power BI, Tableau, etc.). Demonstrated analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of More ❯

relevant technical strategies, principles and standards are appliedcorrectly. Contribute to application, technical, and data architecture design principles. Required Knowledge : Expert knowledge and experience of software development in Java and SQL for reporting applications. Good knowledge and experienced of Spring-boot and Spring-batch application development. Expert knowledge of data frameworks, data modelling, database design, SQL, Stored Procedures, MDX, and APIs. … Good knowledge and experience of reporting technical stack MS SQL Server, SSRS, PowerBI, SSAS, PostgreSQL. Knowledge of integration and ETL technologies Informatica ETL, Spring-Batch and SSIS. Good experience of managing software development teams, process and tools. Good knowledge and experience of software engineering design, development, build, and test process and practice. Good experience in agile delivery and ceremonies e.g. More ❯

impact through data engineering, software development, or analytics Demonstrated success in launching and scaling technical products or platforms Strong programming skills in at least two of the following: Python, SQL, Java Commercial experience in client-facing projects is a plus, especially within multi-disciplinary teams Deep knowledge of database technologies: Distributed systems (e.g., Spark, Hadoop, EMR) RDBMS (e.g., SQL Server More ❯

and data engineering, including creating data models, dashboards, and reporting solutions. Additionally, you will contribute to the establishment of the gold medallion data layer for advanced analytics. Collaborating with SQL developers and system experts, you will ensure data is consumed efficiently and support end users by designing, developing, and deploying reports across the organisation. Reporting to the Head of Data … visualisation best practices. Proficiency in SSMS or Azure Data Studio, dimensional data modelling (Kimball methodology), and data presentation in Power BI using DAX. Expertise in writing efficient and robust SQL code to support dimensional data models. Experience gathering reporting requirements and translating them into dashboards and reports. Ability to communicate complex data concepts to non-technical stakeholders. Strong attention to More ❯

implementing advanced features. Data Modelling: Strong knowledge of star/snowflake schemas, dimension/fact design, and row-level security for enterprise-scale tabular models. Programming & Scripting: Proficiency in SQL; familiarity with Python or other scripting languages is a plus. Cloud Platforms: Experience with Azure services (e.g., Azure Data Factory, Azure Synapse) or other cloud-based data platforms is beneficial. More ❯

and manage the team, maintaining strong relationships across the organisation. Implement policies, documentation, governance, and establish a Centre of Excellence for insight and analysis. Support data engineering tasks including SQL modelling, data munging, ETL/ELT pipelines, API interactions, and automation using Python. Deliver trusted, high-quality data to inform customer experience and satisfaction insights. What you can bring: Degree … in relevant field (finance, maths, physics, or similar). Additional qualifications (MBA, CFA) are a plus. Proficient in SQL, R or Python, data visualisation, statistical programming, and data science techniques. Strong understanding of data warehousing, data mapping, logical modelling, and business analysis. Experience with Azure data tools and Power BI. Proven ability to lead and influence technical teams. Experience with … experience. Knowledge of change management and systems processes. Comfortable with cloud platforms and Microsoft stack tools like Synapse, Databricks, Azure Data Factory, and Azure DevOps. Programming experience in Python, SQL, T-SQL, and SSIS. Understanding of ELT/ETL processes, RESTful APIs, and integration concepts. What’s in it for you? A collaborative, innovative culture where your work makes an More ❯

and manage the team, maintaining strong relationships across the organisation. Implement policies, documentation, governance, and establish a Centre of Excellence for insight and analysis. Support data engineering tasks including SQL modelling, data munging, ETL/ELT pipelines, API interactions, and automation using Python. Deliver trusted, high-quality data to inform customer experience and satisfaction insights. What you can bring: Degree … in relevant field (finance, maths, physics, or similar). Additional qualifications (MBA, CFA) are a plus. Proficient in SQL, R or Python, data visualisation, statistical programming, and data science techniques. Strong understanding of data warehousing, data mapping, logical modelling, and business analysis. Experience with Azure data tools and Power BI. Proven ability to lead and influence technical teams. Experience with … experience. Knowledge of change management and systems processes. Comfortable with cloud platforms and Microsoft stack tools like Synapse, Databricks, Azure Data Factory, and Azure DevOps. Programming experience in Python, SQL, T-SQL, and SSIS. Understanding of ELT/ETL processes, RESTful APIs, and integration concepts. What’s in it for you? A collaborative, innovative culture where your work makes an More ❯

in BI development Qualifications/Experience: Bachelor's degree in Computer Science, Information Systems, or a related field Minimum of 3 years' experience in BI development Strong proficiency in SQL and experience with data warehousing concepts Expertise in ETL processes and tools Proficient in using business intelligence tools such as Power BI, Tableau, or QlikView Solid understanding of data modelling … techniques and best practices Experience with database management systems (e.g., SQL Server, Oracle) Knowledge of programming languages such as Python or R Proven experience in creating data visualisations and interactive dashboards Familiarity with agile methodologies Strong analytical and problem-solving skills with attention to detail Excellent communication skills and ability to explain complex technical concepts to non-technical stakeholders Understanding More ❯

processes Stay current with industry trends and best practices in BI and data analytics Required Skills: Proficiency in BI tools (Power BI, Tableau, QlikView) and data visualization techniques Strong SQL skills and experience with relational databases (e.g., SQL Server, Oracle, MySQL) Familiarity with ETL processes and data warehousing concepts Experience in data modeling and designing effective reporting structures Knowledge of More ❯

Development: Create and integrate RESTful and SOAP APIs for internal and external consumption, ensuring smooth data interchange among multiple systems and third-party providers. Database Management: Design and optimize SQL and NoSQL database structures, ensuring data integrity, security, and high performance. DevOps Integration: Collaborate with DevOps teams to automate deployment pipelines and implement continuous integration/continuous deployment (CI/… Hands-on experience with modern frontend frameworks (e.g., Angular, React, or Vue.js) and proficiency in HTML, CSS, and JavaScript. Solid understanding of RESTful API design and implementation. Experience with SQL Server, and familiarity with NoSQL databases. Software Development Lifecycle: Knowledge of Agile methodologies and commitment to collaborative problem solving, efficient coding practices, and timely delivery. Problem Solving: Excellent analytical and More ❯

candidate will have: Data Analysis & Insight: Strong analytical skills with the ability to identify trends, anomalies, and actionable insights from complex data sets. Technical Expertise: Proficient in BI reporting, SQL, data modelling, and data warehouse concepts, with a focus on accuracy and scalability. Problem Solving: Demonstrates initiative in resolving data issues and implementing data-led solutions to support continuous improvement. … Analyst Associate, SAP BusinessObjects, or comparable BI certification in data analysis, reporting, or data warehousing. Sofico Miles, Salesforce, or Dataflow Clarity experience (or equivalent systems knowledge). Proficiency with SQL and ETL tools such as SSIS, with experience in data warehouse architecture, modelling, and optimisation. Familiarity with BI platforms including Business Objects, Pan Intelligence, or similar reporting/visualisation tools More ❯

house development). Proven expertise in Front Office , Operations , and Risk requirements-specifically for Natural Gas trading. Strong understanding of the full SDLC within Agile methodologies. Highly proficient in SQL and database structures. Excellent interpersonal and communication skills-able to work with technical and non-technical stakeholders in a multicultural environment. Strong analytical, problem-solving, and documentation skills. Self-motivated More ❯

delivery (Agile, DevOps, waterfall) - SCRUM qualifications would be beneficial Experience of using agile delivery tools such as JIRA, Pivotal, Collab, Confluence Experience of engineering based on the likes of SQL, SSIS, Python, Java, Scala, XML/FpML and Power BI Solution architecture (Business, Functional, Technical) Data architecture, data lineage including an understanding of AI Integration architecture Testing/quality engineering More ❯

support data pipelines to ingest, transform and manage data in the data lake and warehouse. Design and deliver insightful MI and BI reports from a variety of sources including SQL databases and Excel. Translate business needs into technical reporting requirements, liaising with users to resolve data queries. Manage and maintain ETL processes and troubleshoot data issues, including log analysis and … and automated), extend wiki documentation, and contribute to ongoing development projects. Requirements Experience working within data engineering or analytics in a financial or regulated business environment. Proficiency in Microsoft SQL Server, Azure SQL, SSIS or Azure Data Factory. Strong skills in Excel and Power Query; experience developing reports in Power BI desirable. Knowledge of programming (e.g., C# .NET, PowerShell, Python More ❯

support data pipelines to ingest, transform and manage data in the data lake and warehouse. Design and deliver insightful MI and BI reports from a variety of sources including SQL databases and Excel. Translate business needs into technical reporting requirements, liaising with users to resolve data queries. Manage and maintain ETL processes and troubleshoot data issues, including log analysis and … and automated), extend wiki documentation, and contribute to ongoing development projects. Requirements Experience working within data engineering or analytics in a financial or regulated business environment. Proficiency in Microsoft SQL Server, Azure SQL, SSIS or Azure Data Factory. Strong skills in Excel and Power Query; experience developing reports in Power BI desirable. Knowledge of programming (e.g., C# .NET, PowerShell, Python More ❯

through technology. Responsibilities: Configure and support ERP systems, including customizing workflows and resolving user issues. Collaborate with Business Analysts to identify and automate business processes. Develop backend solutions using SQL, Oracle, and Crystal Reports to support business needs. Create and maintain technical documentation and reusable ERP components. Apply agile and continuous improvement practices to enhance system performance and user experience. … Desirable skills: Strong communication and collaboration skills, especially under pressure. Technical proficiency in SQL, Power Automate, Power Apps, and ERP systems. Analytical thinking and a structured approach to problem-solving. Ability to present technical concepts to non-technical stakeholders. Familiarity with coding languages such as .NET, Python, JavaScript, or C# is a plus. Proactive and hands-on with a “can … and credible in interactions with stakeholders. Team player with a strong sense of ownership and accountability. Demonstrable experience with automation tools (e.g., Power Automate, Power Apps). Experience with SQL (Microsoft and Oracle), data lakes, and data warehouses. Knowledge of additional coding languages is preferred but not essential. Strong written and verbal communication skills. Aptitude for logical thinking and structured More ❯

Science, Information Systems, Finance, or a related field. Proven experience as a Data Analyst/Analytics Engineer role, preferably in the payments industry with issuer processors. Proven experience in SQL,DBT and Snowflake. Proficiency in building and managing data transformations with dbt, with experience in optimizing complex transformations and documentation. Hands-on experience with Snowflake as a primary data warehouse … including knowledge of performance optimization, data modeling, and query tuning. Strong proficiency in data analysis tools and languages (e.g., SQL, Python). Strong understanding of data modeling principles and experience applying modeling techniques. Proficiency with data visualization tools such as Tableau, Power BI, or similar. Knowledge of payment processing system, card issuance, and related services. Experience with cloud-based data More ❯

decision-making within a dynamic and fast-paced insurance environment. You will be responsible for designing, developing, and maintaining end-to-end BI solutions using Power BI , DAX , and SQL , working closely with underwriters, actuaries, finance, and senior stakeholders. Key Responsibilities Design, build and optimize interactive Power BI dashboards and reports tailored to the Lloyd's insurance market. Working specifically … with underwriting teams to support their BI processes. Write efficient DAX measures and calculated columns to support analytical requirements. Develop robust SQL queries, stored procedures, and ETL processes to source and transform data. Translate complex data requirements into scalable BI solutions. Collaborate with business users to gather requirements and deliver meaningful insights. Lead data governance and quality initiatives to ensure … and best practices. Skills & Experience Required Proven experience as a BI Developer, ideally within the Lloyd's or London Insurance Market . Advanced proficiency in Power BI , DAX , and SQL . Experience working with Underwriting teams. Strong understanding of insurance-specific data models including premiums, claims, exposures, and bordereaux. Hands-on experience working with data warehouses, data marts, and ETL More ❯

decision-making within a dynamic and fast-paced insurance environment. You will be responsible for designing, developing, and maintaining end-to-end BI solutions using Power BI , DAX , and SQL , working closely with underwriters, actuaries, finance, and senior stakeholders. Key Responsibilities Design, build and optimize interactive Power BI dashboards and reports tailored to the Lloyd's insurance market. Working specifically … with underwriting teams to support their BI processes. Write efficient DAX measures and calculated columns to support analytical requirements. Develop robust SQL queries, stored procedures, and ETL processes to source and transform data. Translate complex data requirements into scalable BI solutions. Collaborate with business users to gather requirements and deliver meaningful insights. Lead data governance and quality initiatives to ensure … and best practices. Skills & Experience Required Proven experience as a BI Developer, ideally within the Lloyd's or London Insurance Market . Advanced proficiency in Power BI , DAX , and SQL . Experience working with Underwriting teams. Strong understanding of insurance-specific data models including premiums, claims, exposures, and bordereaux. Hands-on experience working with data warehouses, data marts, and ETL More ❯

decision-making within a dynamic and fast-paced insurance environment. You will be responsible for designing, developing, and maintaining end-to-end BI solutions using Power BI, DAX, and SQL, working closely with underwriters, actuaries, finance, and senior stakeholders. Key Responsibilities Design, build and optimize interactive Power BI dashboards and reports tailored to the Lloyd's insurance market. Working specifically … with underwriting teams to support their BI processes. Write efficient DAX measures and calculated columns to support analytical requirements. Develop robust SQL queries, stored procedures, and ETL processes to source and transform data. Translate complex data requirements into scalable BI solutions. Collaborate with business users to gather requirements and deliver meaningful insights. Lead data governance and quality initiatives to ensure … insurance-specific data models including premiums, claims, exposures, and bordereaux. Hands-on experience working with data warehouses, data marts, and ETL pipelines. Solid knowledge of relational databases (e.g., MS SQL Server, Azure SQL). Excellent problem-solving skills and ability to work independently or as part of a team. Strong stakeholder management and communication skills. Desirable Experience with cloud-based More ❯

for cleaning, enriching, and aggregating data. Ensure data consistency and accuracy throughout the data lifecycle. Azure Databricks Implementation: Work extensively with Azure Databricks Unity Catalog, including Delta Lake, Spark SQL, and other relevant services. Implement best practices for Databricks development and deployment. Optimise Databricks workloads for performance and cost. Need to program using the languages such as SQL, Python, R … 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 ❯

for cleaning, enriching, and aggregating data. Ensure data consistency and accuracy throughout the data lifecycle. Azure Databricks Implementation: Work extensively with Azure Databricks Unity Catalog, including Delta Lake, Spark SQL, and other relevant services. Implement best practices for Databricks development and deployment. Optimise Databricks workloads for performance and cost. Need to program using the languages such as SQL, Python, R … 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 ❯

scale data architectures in complex environments. CICD/DevOps experience is a plus. Skills: Strong expertise in data modeling, data integration (ETL/ELT), and database design. Proficiency in SQL, PL/SQL, and performance tuning in Teradata, Oracle, and other databases. Strong experience with cloud data platforms tools and services (e.g., AWS Glue, AWS Redshift, Daataproc, Google BigQuery, Azure More ❯