301 to 325 of 6,672 SQL Jobs in London

great Grayce Analyst: 2:1 Undergraduate Degree: In a STEM field, with a solid academic basis in data analysis; MSc is a plus. Data Tools: Experience with Excel, R, SQL, or Python is essential. Experience with Tableau or Power BI is advantageous. Analytical Problem Solving: Ability to spot patterns, think creatively, and dissect complex issues. Soft Skills: Effective communication, planning More ❯

supporting data workflows. Promote best practices regarding code quality, testing, observability, and operational stability. Ideal Candidate: Possesses 2+ years of practical data engineering experience. Has strong skills in Python, SQL, and PySpark. Experienced working with data lakes, warehouses, lakehouses, and cloud platforms, preferably Azure. Knowledgeable in data modelling, including Kimball and star schemas. Familiar with ETL tools such as Azure More ❯

Mathematics, Computer Science, or related fields; a Master’s or certification (e.g., MBA, MS) is a plus. Tools: Experience with visualization and analysis tools such as Tableau, Power BI, SQL, Excel, PowerPoint, etc. #J-18808-Ljbffr More ❯

Microsoft Dataverse. Experience configuring and deploying Dynamics 365 applications. Experience with Power Apps Test Studio or other Power Platform testing solutions. Experience in configuring and using other data stores (SQL/SharePoint/Lists). Experience developing and deploying Microsoft Teams Apps. Experience with Azure DevOps (or similar tools) for CI/CD and backlog/progress tracking. Experience with More ❯

experience deploying and maintaining LLM services and solutions. Expertise in Azure DevOps and GitHub Actions. Familiarity with Databricks CLI and Databricks Job Bundle. Strong programming skills in Python and SQL; familiarity with Scala is a plus. Solid understanding of AI/ML algorithms, model training, evaluation (including hyperparameter tuning), deployment, monitoring, and governance. Experience in handling large datasets and performing More ❯

experience deploying and maintaining LLM services and solutions. Expertise in Azure DevOps and GitHub Actions. Familiarity with Databricks CLI and Databricks Job Bundle. Strong programming skills in Python and SQL; familiarity with Scala is a plus. Solid understanding of AI/ML algorithms, model training, evaluation (including hyperparameter tuning), deployment, monitoring, and governance. Experience in handling large datasets and performing More ❯

a plus/• Working knowledge of CRM’s interoperability capability with MS Office, MS Office 365, SharePoint, Azure and MS BI Stack • C#/VB.net, ADO.Net, XML, T/SQL, JQuery, JavaScript, Web Services, ASP.NET, and Silverlight skills • Experience in leading a Team • PowerApps Preferred • Planning and Prioritization skills • Experience in capturing requirements related to internal/external consulting, documenting More ❯

OLTP) and Online Analytical Processing (OLAP) systems Creating conceptual, logical and physical data models Creating mapping specifications for data migrations Coordinating User Acceptance Testing (UAT) with business stakeholders Excellent SQL skills Knowledge of python (pandas) Experience with Cloud platforms Creating data dashboards using Tableau, PowerBI or Qlik and story telling We expect you to work closely with business to understand More ❯

experience deploying and maintaining LLM services and solutions. Expertise in Azure DevOps and GitHub Actions. Familiarity with Databricks CLI and Databricks Job Bundle. Strong programming skills in Python and SQL; familiarity with Scala is a plus. Solid understanding of AI/ML algorithms, model training, evaluation (including hyperparameter tuning), deployment, monitoring, and governance. Experience in handling large datasets and performing More ❯

visualization using Tableau, Quicksight, or similar tools - Experience with data modeling, warehousing and building ETL pipelines - Experience in Statistical Analysis packages such as R, SAS and Matlab - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling PREFERRED QUALIFICATIONS - Experience with AWS solutions such as EC2, DynamoDB, S3, and More ❯

related field. Experience Experience data analysis, market research, or maritime analytics. Expertise in maritime trading, supply-demand analysis, FFAs, forward curves, and derivatives. Technical Skills Proficiency in Python and SQL for data manipulation and model development. Experience in working with large-scale datasets and utilizing big data technologies (e.g., Azure, Databricks, Spark) Familiarity with data visualization tools such as Power More ❯

and to hierarchically structure information residing in the data under analysis. Robust knowledge of statistical concepts, accompanied by expertise with a set of analytical tools ranging from databases (e.g. SQL, BigQuery, noSQL) to programming languages (e.g. R, Python), and from data visualisation (e.g. Tableau, PowerBI) to machine learning. Understanding data engineering solutions is a plus. Strong experience in MLOps, including More ❯

make things better, open to challenges and possibilities Desirable Requirements Experience with cloud-based technologies such as AWS or Azure Knowledge of financial services regulations and compliance Experience with SQL and database design and optimisation Experience with FIX protocol Experience with messaging systems such as Kafka or Artemis/RabbitMQ Familiarity with DevOps tools such as Jenkins, Ansible or Docker More ❯

understanding of Data Mesh , Data Fabric , and data product-led approaches Data modelling expertise (relational, dimensional) and familiarity with tools like Erwin , Sparx , Archi Experience with ETL/ELT , SQL/NoSQL , Python or Java, and visualisation/BI tools Knowledge of data governance , compliance, and security frameworks Comfortable operating in Agile environments (Scrum, Kanban, SAFe) Ideal Candidate: Experience in More ❯

tools such as Power BI, Azure Data Explorer, and Azure AI Services. Qualifications Key Competencies Demonstrable experience in data science, machine learning, or a related field. Proficiency in Python, SQL, or other programming languages for data analysis and machine learning. Experience with cloud platforms and services, preferably Azure, for data science and machine learning Experience with one or more generative More ❯

independently and see challenges through to resolution Proficient in Microsoft Excel, Visio, and PowerPoint Knowledge, Skills, Experience and Qualifications - Desirable 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 ❯

wider Microsoft Azure platform and PAAS environment Working knowledge of scripting – either Python, .Net, C# or JavaScript Experience working with API endpoints and of data mapping Working knowledge of SQL Experience of Waterfall and Agile delivery methodologies Experience in the use of SCRUM framework (or similar) The ability to communicate with, influence and manage stakeholders expectations. Ability to translate requirements More ❯

preferably within the gaming industry. Strong proficiency in Looker (preferred) or similar business intelligence tools. Experience with event tracking, data pipelines, and ETL processes is a plus. Proficiency in SQL and experience working with large datasets. Excellent analytical and problem-solving skills, with the ability to extract insights from complex data sets. Strong attention to detail and the ability to More ❯

Kubernetes and AI. Customer Advisory: Assess customer environments, identify areas for improvement, and provide strategic recommendations to optimize performance, security, and scalability. Technical Delivery: Lead database migrations from Oracle, SQL Server, or MySQL to PostgreSQL. Perform performance tuning, upgrades, and patching to ensure optimal database health. Knowledge Transfer: Create clear and comprehensive documentation (Runbooks, Best Practice Guides) and deliver training More ❯

. Security-conscious development practices. Proficient with AWS native services such as EC2, S3, RDS, Lambda, and AWS CLI or Azure services such as Virtual Machines, Blob Storage, Azure SQL Database, Azure Functions, and Azure CLI Knowledge of additional Azure or AWS services such as Azure App Service, Azure Logic Apps, and Azure Event Grid or AWS Elastic Beanstalk, AWS More ❯

. Security-conscious development practices. Proficient with AWS native services such as EC2, S3, RDS, Lambda, and AWS CLI or Azure services such as Virtual Machines, Blob Storage, Azure SQL Database, Azure Functions, and Azure CLI Knowledge of additional Azure or AWS services such as Azure App Service, Azure Logic Apps, and Azure Event Grid or AWS Elastic Beanstalk, AWS More ❯

code or experience working with large, complex codebases is preferred. ASP.NET/.NET CORE MVC, WPF. Experience of web-related technologies (HTML, XML, CSS, JSON, JavaScript, jQuery). MS SQL knowledge is a must. Strong grasp of SOLID design principles, with recent experience implementing in day-today software development practices Entity Framework. Azure knowledge - (blobs, service bus or equivalent queue More ❯

week ago City Of London, England, United Kingdom 4 weeks ago London, England, United Kingdom 2 weeks ago London, England, United Kingdom 1 week ago Data Analyst (Python/SQL/Tableu) - to £65k - ID41747 We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr More ❯

Experience with data visualization tools like Tableau, Power BI, or similar. Strong knowledge of time-series analysis, predictive modelling, and machine learning techniques. Familiarity with database management systems (e.g., SQL) and cloud platforms (e.g., AWS, Azure). Job-Specific Skills: Strong analytical and problem-solving abilities. Excellent communication and teamwork skills. Ability to translate complex data insights into actionable business More ❯

Designing, building, and optimising data pipelines across multiple sources using Microsoft Fabric and other Azure technologies Ensuring data quality and integrity through validation and cleansing techniques Write and optimize SQL queries (views and select statements) to transform and extract data efficiently. Leverage Power Automate to streamline and enhance business processes. Utilize Python for data analysis, automation, and workflow optimization. Collaborate More ❯