1 to 25 of 2,354 SQL Jobs in London

transformation tools such as DBT, or Dataflow. Strong hands-on knowledge of Snowflake and PostgreSQL databases. Strong Ability to work autonomously in a fast-paced and dynamic environment. Strong SQL and Python coding skills, particularly in automation & integrations. Sound experience in AWS cloud services and modern ETL technologies. Sound understanding of data architecture, quality frameworks, and reporting tools. Sound understanding More ❯

Java development, including Spring Framework, Spring Boot, and JVM optimisation techniques for high-performance applications. Database Management : Proficiency with both relational databases (Oracle, PostgreSQL) and NoSQL solutions, with strong SQL skills and data modelling capabilities. API Development : Strong capabilities in designing and implementing RESTful APIs with a focus on security, performance, and usability. Master Data Concepts : Understanding of master data More ❯

in an Agile environment Programming - expertise in Python, Java, Scala, or other programming languages used to build data pipelines, implement data transformations, and automate data workflows Has expertise in SQL AI and Machine Learning knowledge as it applies to end-to-end data production Has a strong knowledge of data visualisation tools knowledge such as Power BI, Tableau, QlikView etc More ❯

in an Agile environment Programming - expertise in Python, Java, Scala, or other programming languages used to build data pipelines, implement data transformations, and automate data workflows Has expertise in SQL AI and Machine Learning knowledge as it applies to end-to-end data production Has a strong knowledge of data visualisation tools knowledge such as Power BI, Tableau, QlikView etc More ❯

in an Agile environment Programming - expertise in Python, Java, Scala, or other programming languages used to build data pipelines, implement data transformations, and automate data workflows Has expertise in SQL AI and Machine Learning knowledge as it applies to end-to-end data production Has a strong knowledge of data visualisation tools knowledge such as Power BI, Tableau, QlikView etc More ❯

New York, and Ireland. Key Responsibilities: Design, implement, and optimize Oracle Data Warehouse systems, ensuring scalability, performance, and alignment with analytics needs. Develop efficient ETL processes and optimize complex SQL and PL/SQL scripts. Provide guidance on data modelling, indexing, and partitioning strategies. Troubleshoot and resolve performance, ETL, and data pipeline issues while maintaining data quality. Support .NET development … ensure business continuity. Serve as a technical consultant for cross-functional projects, advising on data architecture and performance optimization. Key Skills & Experience: Strong expertise in Oracle Database, PL/SQL, SQL, ETL design, data modeling, indexing, and partitioning . Experience in supporting enterprise-scale Oracle Data Warehouse environments. Proven ability to troubleshoot complex data and ETL issues. Familiarity with working More ❯

New York, and Ireland. Key Responsibilities: Design, implement, and optimize Oracle Data Warehouse systems, ensuring scalability, performance, and alignment with analytics needs. Develop efficient ETL processes and optimize complex SQL and PL/SQL scripts. Provide guidance on data modelling, indexing, and partitioning strategies. Troubleshoot and resolve performance, ETL, and data pipeline issues while maintaining data quality. Support .NET development … ensure business continuity. Serve as a technical consultant for cross-functional projects, advising on data architecture and performance optimization. Key Skills & Experience: Strong expertise in Oracle Database, PL/SQL, SQL, ETL design, data modeling, indexing, and partitioning . Experience in supporting enterprise-scale Oracle Data Warehouse environments. Proven ability to troubleshoot complex data and ETL issues. Familiarity with working More ❯

and cost management. Knowledge of data security, compliance, and governance in Azure, including Azure Active Directory (AAD), RBAC, and encryption. Experience working with big data technologies (Spark, Python, Scala, SQL). Strong problem-solving and troubleshooting skills. Excellent communication skills with the ability to collaborate with cross-functional teams to understand requirements, data solutions, data models and mapping documents. Preferred More ❯

models. Essential Skills & Experience 5+ years in data engineering, ideally at senior or lead level. Strong hands-on experience with Python , Azure Databricks , and Azure Synapse Analytics . Advanced SQL skills, including stored procedures and formal database design. Proven data modelling capabilities. Proficiency with Microsoft Azure data services and CI/CD pipelines. Experience integrating data across systems using APIs. More ❯

models. Essential Skills & Experience 5+ years in data engineering, ideally at senior or lead level. Strong hands-on experience with Python , Azure Databricks , and Azure Synapse Analytics . Advanced SQL skills, including stored procedures and formal database design. Proven data modelling capabilities. Proficiency with Microsoft Azure data services and CI/CD pipelines. Experience integrating data across systems using APIs. More ❯

models. Essential Skills & Experience 5+ years in data engineering, ideally at senior or lead level. Strong hands-on experience with Python , Azure Databricks , and Azure Synapse Analytics . Advanced SQL skills, including stored procedures and formal database design. Proven data modelling capabilities. Proficiency with Microsoft Azure data services and CI/CD pipelines. Experience integrating data across systems using APIs. More ❯

models. Essential Skills & Experience 5+ years in data engineering, ideally at senior or lead level. Strong hands-on experience with Python , Azure Databricks , and Azure Synapse Analytics . Advanced SQL skills, including stored procedures and formal database design. Proven data modelling capabilities. Proficiency with Microsoft Azure data services and CI/CD pipelines. Experience integrating data across systems using APIs. More ❯

of 1 years of experience in software development. Technical Skills: Proficiency in programming languages such as Python, Java, or Scala. Knowledge of data modeling and schema design. Familiarity with SQL skills and relational databases (e.g., PostgreSQL, MySQL). Familiarity with at least one cloud platform (e.g., AWS, Azure, Google Cloud) and its data services. Analytical Skills: Strong problem-solving skills More ❯

Required Qualifications Technical Skills Bachelor's degree in Data Science, Statistics, Mathematics, Economics, or related field Demonstrable experience in data analysis, business intelligence, or a related role Proficiency in SQL and querying from a variety of data sources (databases, data warehouses, SaaS reporting applications) Experience with BI tools (ThoughtSpot, Tableau, Power BI, Looker, or similar) Strong Excel skills, including pivot More ❯

SQL DEVELOPER 6M Fixed term contract London, city. International Law firm c 2years + experience 35-40k Pro rata salary Fantastic opportunity to work for a city law firm If you are immediately available and have a minimum 2 years experience and are interested in a 6m FTC The SQL Developer will work as part of a small, collaborative … team of experienced Developers and SQL experts, contributing to core projects with a strong focus on SQL development. Reporting to the IT Technical Lead with dual reporting line to Senior Applications and Integration Developer, the primary responsibility of this role is to support an in-house project. Excellent knowledge of database concepts and SQL stored procedures, functions, and triggers Skilled … at analysing, designing, coding, testing, and deploying simple to intermediate level Microsoft SQL Server solutions Experience working in SQL Server Production Environments Experience with T-SQL scripting Understanding SQL Server architecture and database design/layout Knowledge of Microsoft SSRS, SSIS & SSAS Experience with Visual Studio, Scripting (PowerShell), VBA/C# Experience with database backups, restores and maintenance activities Good More ❯

least one programming language (Python, Java, or Scala) Extensive experience with cloud platforms (AWS, GCP, or Azure) Experience with: Data warehousing and lake architectures ETL/ELT pipeline development SQL and NoSQL databases Distributed computing frameworks (Spark, Kinesis etc) Software development best practices including CI/CD, TDD and version control. Strong understanding of data modelling and system architecture Excellent More ❯

stakeholder management skills when engaging with customers Significant experience with cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP). Strong proficiency in SQL and experience with relational databases such as MySQL, PostgreSQL, or Oracle. Experience with big data technologies such as Hadoop, Spark, or Hive. Familiarity with data warehousing and ETL tools such More ❯

Technology, or a related field or relevant experience • Proficiency in Dynamics 365 and Power Platform (CRM, Customer Services, Sales and Marketing) • Strong knowledge of C# .NET, JavaScript, HTML, and SQL • Familiarity with Azure Services and working with and within DevOps practices • Understanding and managing enterprise size Dataverse instances • Expertise in tools and usage of XRM Toolbox • Excellent problem-solving and More ❯

Technology, or a related field or relevant experience • Proficiency in Dynamics 365 and Power Platform (CRM, Customer Services, Sales and Marketing) • Strong knowledge of C# .NET, JavaScript, HTML, and SQL • Familiarity with Azure Services and working with and within DevOps practices • Understanding and managing enterprise size Dataverse instances • Expertise in tools and usage of XRM Toolbox • Excellent problem-solving and More ❯

Technology, or a related field or relevant experience • Proficiency in Dynamics 365 and Power Platform (CRM, Customer Services, Sales and Marketing) • Strong knowledge of C# .NET, JavaScript, HTML, and SQL • Familiarity with Azure Services and working with and within DevOps practices • Understanding and managing enterprise size Dataverse instances • Expertise in tools and usage of XRM Toolbox • Excellent problem-solving and More ❯

Technology, or a related field or relevant experience • Proficiency in Dynamics 365 and Power Platform (CRM, Customer Services, Sales and Marketing) • Strong knowledge of C# .NET, JavaScript, HTML, and SQL • Familiarity with Azure Services and working with and within DevOps practices • Understanding and managing enterprise size Dataverse instances • Expertise in tools and usage of XRM Toolbox • Excellent problem-solving and More ❯

Technology, or a related field or relevant experience * Proficiency in Dynamics 365 and Power Platform (CRM, Customer Services, Sales and Marketing) * Strong knowledge of C# .NET, JavaScript, HTML, and SQL * Familiarity with Azure Services and working with and within DevOps practices * Understanding and managing enterprise size Dataverse instances * Expertise in tools and usage of XRM Toolbox * Excellent problem-solving and More ❯

Data Analytics, Data Visualisation, Data Science and Business Intelligence. Delivery experience using the following core technology: SAS (SAS EG, SAS DI, SAS Viya). An ability to write complex SQL queries. Project experience using one or more of the following technologies: Tableau, Python, Power BI, Cloud (Azure, AWS, GCP, Snowflake, Databricks). Project lifecycle experience, having played a leading role More ❯

Computer Science, Data Science, or a related field. Minimum 4 years of experience years of experience in data engineering, data integration, or a related role. Technical Skills: Proficiency with SQL (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g. MongoDB), with hands-on experience in query optimization and data modelling. Strong programming skills in Python (preferred), with a focus on building scalable More ❯

as sprint planning, story refinement, and backlog grooming. Required Skills & Experience 5+ years of experience as a data or business analyst in a trading or energy environment. Proficiency in SQL and Python for data querying and transformation. Solid background in data reconciliation, testing, and profiling . Experience with relational databases and data warehousing concepts. Exposure to market data and financial More ❯