26 to 50 of 359 SQL Jobs in Central London

and business teams Drive process improvements and contribute to agile delivery Requirements: Strong experience in Data Analysis within financial services Expertise in market or counterparty risk Technical skills with SQL and Python Data Visualisation skills with PowerBI, other Automation and Metrics knowledge handy. Proficiency with tools like Jira, Confluence, Excel, and SharePoint Familiarity with Agile, DevOps, and Site Reliability Engineering More ❯

role in a small, agile team, with full ownership of dashboarding and reporting tools. YOUR SKILLSET: 3–5 years in commercial analytics – media, tech, or FMCG a plus Strong SQL and Power BI; Python or DOMO exposure is a bonus Able to simplify complex data for non-technical leaders Self-starter comfortable working autonomously WHY APPLY? Full ownership of commercial More ❯

and ensure data integrity. Present findings to stakeholders in a clear and concise manner. Requirements: Proven experience as a Data Analyst or in a similar role. Proficiency in Excel, SQL, and data visualization tools (e.g., Power BI, Tableau). Strong analytical and problem-solving skills. Excellent communication and presentation abilities. Degree in Mathematics, Statistics, Computer Science, or a related field. More ❯

and ensure data integrity. Present findings to stakeholders in a clear and concise manner. Requirements: Proven experience as a Data Analyst or in a similar role. Proficiency in Excel, SQL, and data visualization tools (e.g., Power BI, Tableau). Strong analytical and problem-solving skills. Excellent communication and presentation abilities. Degree in Mathematics, Statistics, Computer Science, or a related field. More ❯

and ensure data integrity. Present findings to stakeholders in a clear and concise manner. Requirements: Proven experience as a Data Analyst or in a similar role. Proficiency in Excel, SQL, and data visualization tools (e.g., Power BI, Tableau). Strong analytical and problem-solving skills. Excellent communication and presentation abilities. Degree in Mathematics, Statistics, Computer Science, or a related field. More ❯

or Practical Insurance Accounting Experience Highly analytical, able to interpret complex financial data Strong track record of successful financial project management Strong stakeholder engagement experience Experience in Power BI, SQL & utilisation of AI tools Able to work independently and part of a team - an effective problem solver More ❯

.NET Developer (Tech stack: .NET Developer, .NET 9, C#, ASP.NET, C#, React, Angular 19, Microservices, Vue.js, TypeScript, Azure, Web API 2, Agile, Azure SQL, Programmer, Full Stack Engineer, Architect, .NET Developer) We have several fantastic new roles for .NET Developer to join an ambitious Fintech start-up. This is your chance to work with the sharpest minds in private wealth More ❯

CRM solutions Desired skills and experience: Experience delivering customer facing digital solutions (Dynamics CRM highly desirable) Strong C# and .Net development skills Proficiency in JavaScript Knowledge and understanding of SQL databases and stored procedures Experience of working with Azure, such as App Service and DevOps Knowledge of utilising SharePoint with low code solutions such as Power Platform Hiring Process: Introductory More ❯

Collibra and other data governance tools Nice-to-have: Experience on ECB onboarding would be greatly beneficial for this role Experience with Power BI, Tableau and SharePoint Exposure to SQL, Python, R and Data Engineering More ❯

data stack —including SSIS , SSAS , and SSRS . A strong foundation in data disciplines such as governance , architecture , modelling , data lakes , warehousing , MDM , and BI . Advanced skills in SQL and Python , with hands-on experience in relational databases across cloud and on-prem environments. Familiarity with modern data technologies such as Apache Spark , Kafka , or Snowflake . A comprehensive 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 ❯

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 ❯

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 ❯

Notebook LM), Anthropics Claude AI, Microsoft CoPilot, and OpenAI's Chat GPT). Microsoft Azure: Experience with Microsoft Azure and Microsoft Power Platform. Oracle Database: Proficiency in Oracle Database (SQL, stored procedures, etc.). Python: Strong skills in Python programming. My client are looking to book in first stage interviews for Monday next week and slots are already filling up More ❯

discipline Exposure to Collibra and other data governance tools Experience on ECB onboarding would be greatly beneficial for this role Experience with Power BI, Tableau and SharePoint Exposure to SQL, Python, R and Data Engineering Knowledge of data related regulatory requirements Knowledge of emerging trends and issues within the Data Management landscape Experience working in regulated frameworks, ideally financial services 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 ❯

and machine learning algorithms, with experience applying them in real-world settings Passion for sports analytics, with previous working experience an advantage Proficient in Python or R, with good SQL skills Familiarity with coding best practices (version control, testing, documentation) Experience working with relational database systems and cloud platforms (Azure or AWS preferred) Comfortable working in a fast-paced consultancy More ❯

Lakehouse , and data pipeline tools Hands-on experience extracting data from systems like Salesforce , Simpro , and ERP platforms into a data lake environment Strong DAX, Power Query (M), and SQL skills Familiarity with data modeling, ETL frameworks , and structured/unstructured data handling Knowledge of Power BI administration, service workspaces, and security practices Understanding of business processes and workflows across More ❯

Proven experience in a Data Engineering or BI Developer Strong understanding of front-office trading , risk , or market data (not back-office finance or regulatory reporting). Proficiency in SQL and at least one programming language (e.g., Python, Scala). Experience with BI tools such as Power BI, Tableau, or Qlik. Familiarity with cloud platforms (e.g., Azure, AWS, GCP) and More ❯

ASP.NET MVC, C# and Azure SQL. Our client can provide you with industry recognised training in: .NET 9, Blazor, EF Core, Azure, JavaScript, HTML5, CSS3, Agile, TDD, BDD, Azure SQL and MongoDB. This is an exciting opportunity to work on complex enterprise level .NET/C# software development projects. Our client offers a structured career progression programme, industry recognized training More ❯

related field. 🧠 Solid understanding of data analysis, machine learning concepts, and statistical methods. 🐍 Proficiency in Python (e.g., Pandas, Scikit-learn, NumPy) or R, with exposure to tools like Jupyter, SQL, or cloud platforms (e.g., AWS, GCP). 📊 Experience working with data—through academic projects, internships, or personal work—and a curiosity to learn more. 🗣️ Strong communication skills to share findings More ❯

production, and performance measurement methodologies. Expertise in building interactive dashboards using tools like Power BI, Tableau, and advanced Excel. Proven experience in automating processes with tools like Power Automate, SQL, and VBA. Knowledge of performance attribution and the analysis of investment portfolio data. Excellent communication skills, with the ability to distill complex performance data into actionable insights for stakeholders. A More ❯

implementing AI solutions, including classification, clustering, anomaly detection, and NLP. Skilled in complete project delivery , from data preparation to model building, evaluation, and visualization. Proficient in Python programming and SQL , with experience in production-level code and data analysis libraries. Familiar with ML Ops , model development workflows, and feature engineering techniques. Capable of manipulating data and developing models accessible for More ❯

years minimum in .NET Core, API, C#, and microservices development with tangible projects to reference for their work (Must have hands-on) 7 years minimum of DB experience with SQL, Cosmos DB, or NoSQL or a mix of all these. (Must have hands-on ) Experience in front-end including Angular , HTML, CSS and Jave Script etc. (Mandatory) Azure Pipeline experience More ❯

the ability to deep-dive into current tools and workflows. Strong communication skills – able to succinctly discuss complex investment and technical concepts to stakeholders. Strong technical skills in Python, SQL and Power BI. Experience building/optimizing quant tools. Experience working with OMS platforms such as Alladin. Leadership skills – leading delivery teams and mentoring junior talent. More ❯