1,901 to 1,925 of 11,550 SQL Jobs in England

with front-office facing FX, Equities, Fixed Income or derivatives experience. Strong knowledge of general financial products and derivatives. Understanding of market microstructure. Strong skills in Excel and Python, SQL and time-series databases. Strong familiarity with Agile processes. Experience with Pandas, NumPy, Matlab, R or other mathematical/statistical languages/packages. Experience in leadership and mentoring. Excellent communication More ❯

experience: Proven experience as a Lead Data Engineer with a focus on Azure cloud services. Experience of managing small teams whilst also being hands-on. Strong database fundamentals including SQL/TSQL, performance and schema design. Experience architecting and building data applications using Azure, specifically a Data Warehouse and/or Data Lake. Technologies : Azure Data Factory, Azure Synapse Analytics More ❯

background 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, SQL Azure 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 More ❯

Skills and experience: Proven experience as a Lead Data Engineer with a focus on Azure cloud services. Experience managing small teams while being hands-on. Strong database fundamentals including SQL/TSQL, performance tuning, and schema design. Experience architecting and building data applications using Azure, specifically Data Warehouse and/or Data Lake. Technologies: Azure Data Factory, Azure Synapse Analytics 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 ❯

Power BI Service, data modelling, and embedding dashboards. Hands-on experience with Azure Synapse Analytics, Data Factory, and Azure Data Lake. Solid understanding of data warehousing concepts Proficiency in SQL and working with large-scale datasets. Familiarity with D365 data structures (e.g., GL, AP, AR, Inventory, Projects, etc.). Excellent communication skills for working with both technical teams and business More ❯

Power BI Service, data modelling, and embedding dashboards. Hands-on experience with Azure Synapse Analytics, Data Factory, and Azure Data Lake. Solid understanding of data warehousing concepts Proficiency in SQL and working with large-scale datasets. Familiarity with D365 data structures (e.g., GL, AP, AR, Inventory, Projects, etc.). Excellent communication skills for working with both technical teams and business More ❯

Essential Strong Microsoft Excel and Word skills Essential Strong understanding of manual pension benefit calculations Essential Analytical and problem-solving skills Essential Strong Microsoft Power BI skills Desirable Advanced SQL skills Desirable Advanced VBA skills Desirable Previous Altair (heywood) administration system experience Desirable Personal skills and key competencies (including JM behavioural competencies) Detail oriented and meticulous Essential Work on own More ❯

with no prior data experience but a keen interest in starting a career in data analysis. Benefits: Comprehensive Training: Receive full training in data analysis, including tools like Excel, SQL, Power BI, Python, and more. Career Development: Access to mentorship, career guidance, and opportunities for advancement as you grow in your role. Hybrid Working: Enjoy a flexible work arrangement with More ❯

with no prior data experience but a keen interest in starting a career in data analysis. Benefits: Comprehensive Training: Receive full training in data analysis, including tools like Excel, SQL, Power BI, Python, and more. Career Development: Access to mentorship, career guidance, and opportunities for advancement as you grow in your role. Hybrid Working: Enjoy a flexible work arrangement with More ❯

in coding, especially in C# .NET (other languages like JavaScript or Python are beneficial). Experience in front-end frameworks such as Angular, Blazor, React, or Typescript. Knowledge of SQL and NoSQL databases; familiarity with Enterprise scale data stores is a bonus. Understanding of modern architecture design and continuous integration, and deployment practices. Experience with cloud platforms, preferably Azure, but More ❯

prior data experience but a keen interest in starting a career in data analysis. What We Offer: Comprehensive Training: Receive full training in data analysis, including tools like Excel, SQL, Power BI, Python, and more. Career Development: Access to mentorship, career guidance, and opportunities for advancement as you grow in your role. Hybrid Working: Enjoy a flexible work arrangement with More ❯

from financial institutions, with proven record designing or implementing quantitative finance models. Excellent quantitative, analytical and problem-solving skills with solid knowledge of statistics. Working knowledge in Python and SQL required. Experience with C++ and object-oriented programming preferred. Capable of working under pressure within a diverse team to accommodate tight deadlines. Great attention to detail with ability to work More ❯

Essential Strong Microsoft Excel and Word skills Essential Strong understanding of manual pension benefit calculations Essential Analytical and problem-solving skills Essential Strong Microsoft Power BI skills Desirable Advanced SQL skills Desirable Advanced VBA skills Desirable Previous Altair (heywood) administration system experience Desirable Personal skills and key competencies (including JM behavioural competencies) Detail oriented and meticulous Essential Work on own More ❯

assets to support advanced analytics and AI initiatives. Key Requirements Proven experience as a Data Engineer with a strong grasp of data engineering principles and lifecycle. Proficiency in Python, SQL, Spark, and modern data engineering tools. Experience with cloud platforms such as Microsoft Azure, Microsoft Fabric, AWS, or Google Cloud. Strong understanding of data ingestion, integration, modelling, and consumption. Ability More ❯

assets to support advanced analytics and AI initiatives. Key Requirements Proven experience as a Data Engineer with a strong grasp of data engineering principles and lifecycle. Proficiency in Python, SQL, Spark, and modern data engineering tools. Experience with cloud platforms such as Microsoft Azure, Microsoft Fabric, AWS, or Google Cloud. Strong understanding of data ingestion, integration, modelling, and consumption. Ability More ❯

days per week, Wigan, Chester, St Helens, Warrington, etc. We'd need to see most of the below, to be considered: - Coding skills in ASP.Net core/C# - SQL dialects: MySQL, MSSQL, PostgreSQL - Familiarity with Redis, ElasticSearch, REST APIs - Experience with Windows-based development: services, tasks, web servers (e.g. IIS). - Magento or other open-source e-commerce platform integration More ❯

just build tech-you'll build the future of tax. What you'll need to succeed Experience with tax tech platforms and process improvement Solid command of Python and SQL (you don't just script-you build) Working knowledge of tax compliance lifecycles Proficiency in MS Office (especially Excel, but we hope you secretly hate it just a bit) Nice More ❯

just build tech-you'll build the future of tax. What you'll need to succeed Experience with tax tech platforms and process improvement Solid command of Python and SQL (you don't just script-you build) Working knowledge of tax compliance lifecycles Proficiency in MS Office (especially Excel, but we hope you secretly hate it just a bit) Nice More ❯

mathematics, statistics, computer science, or related field Extensive knowledge of data engineering standards and practices Experience with ELT/ETL, Batch, Streaming, API, Eventing, Pub/Sub Proficiency in SQL, Python, and other coding languages Experience with Azure DevOps, Data Modeling, Lakehouse, Databricks, Azure Cloud Infrastructure and Security Experience with Delta/Iceberg formats, data ingestion patterns, troubleshooting, and data More ❯

just build tech-you'll build the future of tax. What you'll need to succeed Experience with tax tech platforms and process improvement Solid command of Python and SQL (you don't just script-you build) Working knowledge of tax compliance lifecycles Proficiency in MS Office (especially Excel, but we hope you secretly hate it just a bit) Nice 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 ❯

as a Software Team Lead, Staff Engineer, or Lead Engineer Experience building Service-oriented architecture Knowledge of optimizing backend applications using MySQL or similar Experience with relational databases and SQL, especially MySQL Strong PHP knowledge, understanding its strengths and weaknesses Experience with PHP frameworks: Symfony and Laravel Languages: PHP, Ruby-on-Rails, Java, Python, C# Frontend: Vue.js, Typescript, Angular, React More ❯

analytics, or developer role within a financial institution or trading environment. Strong proficiency in Python (e.g., Pandas, NumPy, Jupyter) and experience building data pipelines , analytical tools , or dashboards . SQL experience is a plus. Proficiency in Excel and data visualization platforms such as Power BI, Tableau, or Plotly/Dash. Solid knowledge with of equity markets and investment principles, including More ❯