226 to 250 of 2,432 SQL Jobs in London

to communicate with all levels and cross functional departments of the business as well as providing ideas, solutions based on market intel and to business recommendations. Very experience with SQL Experience as a Technical, Business, Systems or Functional Analyst Good understanding of Trade and Transaction reporting especially in FI, FX and e-commerce. Experience of .Net, Java, Python, are benefical More ❯

in .NET, .NET Core/ASP.NET MVC, C# and Azure SQL. Training will be provided into: .NET 9, Blazor, EF Core, Azure, JavaScript, HTML5, CSS3, Agile, TDD, BDD, Azure SQL and MongoDB. All positions come with the following benefits: 15% bonus Generous pension Private healthcare Training allowance of £9,700 per year Free lunch Free gym membership Flexible working hours More ❯

in .NET, .NET Core/ASP.NET MVC, C# and Azure SQL. Training will be provided into: .NET 9, Blazor, EF Core, Azure, JavaScript, HTML5, CSS3, Agile, TDD, BDD, Azure SQL and MongoDB. All positions come with the following benefits: 15% bonus Generous pension Private healthcare Training allowance of £9,700 per year Free lunch Free gym membership Flexible working hours More ❯

and Web development is essential. Ideally, you will have experience or atleast an understanding in the below skillset C# .NET Core, Web API React JS, Redux, JavaScript, MVC MS SQL Microsoft Azure infrastructure knowledge A passion for software development An eagerness to constantly improve the product's performance ease of use and functionality Agile software development processes. A working knowledge More ❯

and agile practices Apply domain-driven design principles Solve problems and automate complex business processes Qualifications and Experience: 5+ years experience with Python and/or Java Proficiency in SQL and relational databases Object-oriented design skills Experience with distributed systems, orchestration, micro-services AWS experience (e.g., S3, Redshift, Glue, Lambda) Bachelor's degree or equivalent in computer science or More ❯

for stakeholders. Requirements : Bachelor’s degree in a STEM field: Preferred disciplines include Statistics, Mathematics, Computer Science, Engineering, or related fields. Proficiency in programming languages: Experience with Python and SQL for data analysis, manipulation, and modeling. Basic understanding of machine learning: Familiarity with predictive modeling techniques and algorithms, in particular NLP, LLM's and Time Series Forecasting. Experience with data More ❯

for stakeholders. Requirements : Bachelor’s degree in a STEM field: Preferred disciplines include Statistics, Mathematics, Computer Science, Engineering, or related fields. Proficiency in programming languages: Experience with Python and SQL for data analysis, manipulation, and modeling. Basic understanding of machine learning: Familiarity with predictive modeling techniques and algorithms, in particular NLP, LLM's and Time Series Forecasting. Experience with data More ❯

in software delivery. Implement domain-driven design. Problem solve and automate complex business processes. Qualifications and Experience: 5+ years of experience with Python and/or Java. Proficiency in SQL and relational databases. Experience with object-oriented design, distributed systems, orchestration, and micro-services. AWS experience (e.g., S3, Redshift, Glue, Lambda). Bachelor's degree or equivalent in computer science More ❯

for stakeholders. Requirements : Bachelor’s degree in a STEM field: Preferred disciplines include Statistics, Mathematics, Computer Science, Engineering, or related fields. Proficiency in programming languages: Experience with Python and SQL for data analysis, manipulation, and modeling. Basic understanding of machine learning: Familiarity with predictive modeling techniques and algorithms, in particular NLP, LLM's and Time Series Forecasting. Experience with data More ❯

for stakeholders. Requirements : Bachelor’s degree in a STEM field: Preferred disciplines include Statistics, Mathematics, Computer Science, Engineering, or related fields. Proficiency in programming languages: Experience with Python and SQL for data analysis, manipulation, and modeling. Basic understanding of machine learning: Familiarity with predictive modeling techniques and algorithms, in particular NLP, LLM's and Time Series Forecasting. Experience with data More ❯

geospatial analysis, NLP, sentiment analysis, pattern detection, etc.) Python, R, or Spark for data insights Data Bricks/Data QISQL for data access and processing (PostgreSQL preferred, but general SQL knowledge is important) Latest Data Science platforms (e.g., Databricks, Dataiku, AzureML, SageMaker) and frameworks (e.g., TensorFlow, MXNet, scikit-learn) Software engineering practices (coding standards, unit testing, version control, code review More ❯

such as VaR and stress testing Knowledge of energy markets (preferably Gas and LNG) TECHNICAL REQUIREMENT Strong proficiency with Microsoft Office products, including Excel, VBA, Power BI, PowerPoint and SQL, other skills Alteryx and Python will be useful, with experience in automating reporting and risk processes. Knowledge of Allegro/FEA/Topez is desirable. PERSON SPECIFICATION Excellent quantitative analytical More ❯

such as VaR and stress testing Knowledge of energy markets (preferably Gas and LNG) TECHNICAL REQUIREMENT Strong proficiency with Microsoft Office products, including Excel, VBA, Power BI, PowerPoint and SQL, other skills Alteryx and Python will be useful, with experience in automating reporting and risk processes. Knowledge of Allegro/FEA/Topez is desirable. PERSON SPECIFICATION Excellent quantitative analytical More ❯

such as VaR and stress testing Knowledge of energy markets (preferably Gas and LNG) TECHNICAL REQUIREMENT Strong proficiency with Microsoft Office products, including Excel, VBA, Power BI, PowerPoint and SQL, other skills Alteryx and Python will be useful, with experience in automating reporting and risk processes. Knowledge of Allegro/FEA/Topez is desirable. PERSON SPECIFICATION Excellent quantitative analytical More ❯

such as VaR and stress testing Knowledge of energy markets (preferably Gas and LNG) TECHNICAL REQUIREMENT Strong proficiency with Microsoft Office products, including Excel, VBA, Power BI, PowerPoint and SQL, other skills Alteryx and Python will be useful, with experience in automating reporting and risk processes. Knowledge of Allegro/FEA/Topez is desirable. PERSON SPECIFICATION Excellent quantitative analytical More ❯

data analytics, business intelligence (BI), or engineering performance analysis roles. Proficiency with tools such as Jira, GitLab, Confluence, and time-tracking systems (e.g., Timing, Harvest). Strong command of SQL and experience with BI platforms such as Looker, Power BI, or Tableau. Background in SaaS, Agile software development environments, or technology-focused FP&A is highly desirable. Preferred Qualifications: Excellent More ❯

and mentoring junior engineers. What We're Looking For: Strong hands-on experience with AWS data engineering tools: Glue, PySpark, Athena, Iceberg, Lake Formation , etc. Proficiency in Python and SQL for data processing and analysis. Deep understanding of data governance, quality, and security best practices. Experience working with market data and its applications. Excellent communication and stakeholder management skills. Nice More ❯

and mentoring junior engineers. What We're Looking For: Strong hands-on experience with AWS data engineering tools: Glue, PySpark, Athena, Iceberg, Lake Formation , etc. Proficiency in Python and SQL for data processing and analysis. Deep understanding of data governance, quality, and security best practices. Experience working with market data and its applications. Excellent communication and stakeholder management skills. Nice More ❯

You will bring experience in designing data solutions, writing code, and documentation, and must have strong skills in tools including but not limited to: MS Fabric stack Databricks Azure SQL Tableau/Power BI A knowledge of data modelling and of general IT architecture and systems integration is also required. Other technologies such as Azure Data Factory, RedShift, Informatica, Qlik More ❯

You will bring experience in designing data solutions, writing code, and documentation, and must have strong skills in tools including but not limited to: MS Fabric stack Databricks Azure SQL Tableau/Power BI A knowledge of data modelling and of general IT architecture and systems integration is also required. Other technologies such as Azure Data Factory, RedShift, Informatica, Qlik More ❯

For: Solid experience in data engineering or backend data development. Strong experience with Azure data services (e.g., Data Factory, Dake Lake, Synapse, Databricks) and tools like dbt. Proficiency in SQL and Python, with a solid understanding of data modelling and transformation. Experience integrating data from enterprise systems (CRM, ERP, HRIS). Familiarity with DevOps practices (CI/CD, version control More ❯

For: Solid experience in data engineering or backend data development. Strong experience with Azure data services (e.g., Data Factory, Dake Lake, Synapse, Databricks) and tools like dbt. Proficiency in SQL and Python, with a solid understanding of data modelling and transformation. Experience integrating data from enterprise systems (CRM, ERP, HRIS). Familiarity with DevOps practices (CI/CD, version control More ❯

For: Solid experience in data engineering or backend data development. Strong experience with Azure data services (e.g., Data Factory, Dake Lake, Synapse, Databricks) and tools like dbt. Proficiency in SQL and Python, with a solid understanding of data modelling and transformation. Experience integrating data from enterprise systems (CRM, ERP, HRIS). Familiarity with DevOps practices (CI/CD, version control More ❯

For: Solid experience in data engineering or backend data development. Strong experience with Azure data services (e.g., Data Factory, Dake Lake, Synapse, Databricks) and tools like dbt. Proficiency in SQL and Python, with a solid understanding of data modelling and transformation. Experience integrating data from enterprise systems (CRM, ERP, HRIS). Familiarity with DevOps practices (CI/CD, version control More ❯

For: Solid experience in data engineering or backend data development. Strong experience with Azure data services (e.g., Data Factory, Dake Lake, Synapse, Databricks) and tools like dbt. Proficiency in SQL and Python, with a solid understanding of data modelling and transformation. Experience integrating data from enterprise systems (CRM, ERP, HRIS). Familiarity with DevOps practices (CI/CD, version control More ❯