1 to 25 of 359 SQL Jobs in Central London

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 ❯

Advanced Power BI skills, including DAX, Power Query (M), and custom visuals. Strong experience in data transformation and modelling . Proven ability in data integration across multiple sources (Snowflake, SQL, APIs, Excel, etc.). Experience working in or with the defence, government, or public sector is highly desirable. Knowledge of Data Warehousing concepts and practices. Familiarity with Agile methodologies and More ❯

skills required: Expertise in Python, Java, Scala, or other programming languages used to build data pipelines, implement data transformations, and automate data workflows. Strong knowledge of Power BI Strong SQL experience. Familiarity with technical data structures, data pipelines and data science techniques, understanding complex systems. Extensive knowledge of ETL tools essential for building data pipelines effectively. Strong experience with cloud More ❯

preferably in a FinTech or Payments environment. Exposure and a good understansinf in data modeling (dimensional and normalized), ETL/ELT design , and data warehousing techniques . Proficiency in SQL and experience with scripting languages such as Python or Scala . Demonstrated ability to create impactful dashboards using Power BI and Tableau . Deep understanding of data pipeline orchestration tools More ❯

contributing to the continuous development of their consulting offering and analytical capabilities as the company grows. Skills & Experience Python (incl. pandas, numpy, fastapi, dash/plotly) Database development: e.g. SQL, PostgreSQL, SQLAlchemy, data warehousing, ETL pipelines Cloud computing & DevOps: e.g. AWS (EC2, Lambda, S3), Docker, CI/CD, serverless architecture Frontend development: JavaScript/TypeScript, React, Dash, or similar frameworks More ❯

preferable) Excellent understanding of the underlying perils science and model components Strong problem-solving skills and keen attention to detail Excellent IT skills, Power BI an advantage Experience with SQL is essential, R/Python an advantage Experience with process optimisation Experience and working knowledge of GIS software e.g. ArcGIS, an advantage Excellent communication skills Ability to process and understand More ❯

experience deploying and managing production machine learning models using Azure Machine Learning. * Strong grasp of MLOps principles, including CI/CD, model monitoring, and retraining pipelines. * Experience with Python, SQL, and Azure data services such as Data Factory, Blob Storage, or Data Lake. * Proficiency with DevOps tools (e.g., Git, Azure DevOps) and version control workflows. * Familiarity with reporting and visualisation More ❯

Scrum (CSM/PSM) strongly preferred. Integration: EDI (ANSI X12, EDIFACT), REST/GraphQL APIs, OAuth2, Webhooks Languages & Frameworks: JavaScript/TypeScript (Node.js, React), Python (for data/AI), SQL Cloud & DevOps: AWS/Azure/GCP services, CI/CD pipelines, Docker/Kubernetes AI/ML Tooling: Familiarity with cloud AI services (SageMaker, Vertex AI, Azure AI) and More ❯

Collaborate with cross-functional teams to deliver strategic innovations What We're Looking For: Strong Python programming skills Experience with Microsoft Azure and Power Platform Proficiency in Oracle Database (SQL and stored procedures) Hands-on experience with AI tools Excellent analytical, communication, and team collaboration skills Adaptable and eager to learn new technologies Requirements: Strong interpersonal and problem-solving skills More ❯

in software engineering principles, including version control (Git), testing, CI/CD, modular design, and clean code practices. Experience developing reusable components and APIs is a strong plus. Advanced SQL skills for complex data queries and transformations Proficiency in at least one programming language, with Python strongly preferred for data processing, automation, and pipeline development Strong acumen for application health More ❯

attention to detail and commitment to data accuracy Desirable: Certifications in data management or architecture (e.g., CDMP, TOGAF) Project management experience (Agile methodologies preferred) Familiarity with tools such as SQL, NoSQL, and ETL platforms Benefits 33 days annual leave plus bank holidays 8% employer pension contribution or NHS Pension continuation (if applicable) Enhanced family leave policies Free health cashback plan More ❯

Commercial/Procurement Analytics. Experience in SAP (S/4 Hana). Experience with Spark, Databricks, or similar data processing tools. Stron g technical proficiency in data modelin g , SQL, NoSQL databases, and data warehousing . Hands-on experience with data pipeline development, ETL processes, and big data technolo g ies (e. g ., Hadoop, Spark, Kafka). Proficiency in More ❯

pandas, PyTorch, scikit-learn, etc) is required; Familiarity with PySpark is also desirable. A cloud platform experience (e.g Azure, AWS, GCP), we're using Azure in the team. Good SQL understanding in practice Capacity and enthusiasm for coaching and mentoring less experienced data scientists, including code reviews, training sessions Must have excellent communication skills and interact effectively with all levels More ❯

in Information Technology, Computer Science, Engineering, or a related field. Proven expertise in Power BI-building complex dashboards and working with advanced visuals and data models. Strong proficiency in SQL-writing optimized queries, stored procedures, and managing relational databases. Demonstrated success in improving systems and business processes through data-driven initiatives. Prior experience in or strong understanding of a finance More ❯

intuitive, self-serve data models Own data products end-to-end, from design to continuous improvement Promote innovation and best practices in data engineering About You: Strong experience with SQL, Python, and BI tools (e.g., Power BI) Solid understanding of dimensional modelling and data architecture Experience working in governed, decentralised data environments Excellent communication and stakeholder engagement skills Analytical mindset More ❯

and the ability to interpret complex data and investment processes. Experience in data mapping and transformation. Experience with data visualisation tools such as Power BI and Tableau. Proficiency in SQL, AWS and Python. Strong communication skills and the ability to clearly translate technical issues into business context and vice versa. Exposure to ML models and AI frameworks in financial modelling More ❯

.NET Developer, C# - Financial Consultancy - London (Tech stack: .NET Developer, .NET 9, ASP.NET, C#, React, Angular 19, Microservices, Azure, WPF, MVVM, Prism, Agile, Azure SQL, Programmer, Full Stack Engineer, Architect, .NET Developer) Established in the early 1970s, our client delivers cutting edge I.T solutions to banks. With over 70,000 employees in over 50 countries and strong partnerships with some More ❯

Candidate profile 10-15 years of project planning and implementation experience. Strong organizational, troubleshooting, and problem-solving skills with high attention to detail. Extensive experience with data modeling, ETL, SQL, Power BI, and reporting. Experience in data governance, delivery, and project management. Knowledge of ESG reporting frameworks is a plus. Familiarity with data analytics platforms, especially Microsoft Fabric, is a More ❯

such as SharePoint, Teams, and OneDrive. Hands-on experience administering Dynamics 365 and developing with Power Apps and Power Automate. Knowledge of ETL tools like SSIS and strong MS SQL skills. Ability to write clear User Acceptance Test scripts and produce technical documentation that’s easy to understand. Comfortable working within Agile project environments and adept at diagnosing and resolving More ❯

scalable reporting. 📚 What You Bring to the Table 5+ years of experience in data analytics, analytics engineering, or business intelligence, preferably in a technology or SaaS environment. Expertise in SQL and data modelling, with hands-on experience working with cloud data warehouses (BigQuery a strong plus). Proficient with BI tools (Looker Studio, Superset, or similar), able to build robust More ❯

Databricks , Apache Kafka, Google BigQuery , Google Analytics 4 Data Lake & Storage: Databricks Delta Lake, Amazon S3 Data Transformation: dbt Cloud Data Warehouse: Snowflake Analytics & Reporting: Power BI, Excel, Snowflake SQL REST API Advanced Analytics: Databricks (AI & Machine Learning) Governance & Infrastructure: Centralised Data Catalogue & Access Control (Okta) Job Scheduling & Monitoring (AWS, Splunk) Agile Data Engineering with centralised code repositories BI Data More ❯

Confident user of MSTeams Proficient in business process modelling tools such as Microsoft Visio or similar Able to conduct simple data modelling Comfortable using data analysis tools like Excel, SQL, or specialised software like Tableau or Power BI Familiarity with project management software (e.g., MS Project, Jira) and collaboration tools such as MS Practical experience in Business Analysis roles, preferably More ❯

production deployment practices Experience with Python and core ML libraries (e.g., Scikit-learn, Pandas, PyTorch, TensorFlow) Familiarity with cloud platforms and data infrastructure (e.g., AWS/GCP/Azure, SQL, ELT tools) Understanding of ethical frameworks, explainability, and governance in AI Engaging & Adaptable Communication: Ability to deliver dynamic training sessions and tailor communication to different audiences. Coaching Mindset: Passionate about More ❯

fast-paced problem-solving. What We’re Looking For: 2–4 years of experience in data science, machine learning, or commercial/pricing analytics. Proficiency in Python/R, SQL , and ML libraries (e.g., scikit-learn, TensorFlow, XGBoost). Experience with data visualisation tools (Tableau, Power BI) and statistical methods. Ability to communicate insights clearly to non-technical stakeholders. Passion More ❯

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 ❯