651 to 675 of 3,330 SQL Jobs in London

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 Mongo DB. 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 More ❯

requirements to implementation. Proficiency in creating dashboards and interactive reports using BI tools such as Power BI, Tableau, Qlik, or Looker. Strong skills in querying and manipulating data with SQL, R, or Python. The ability to communicate complex statistical concepts and machine learning models to non-technical stakeholders through visualizations. Company: Graduate Recruitment Bureau (Hiring for client) Location: London, Any More ❯

data technologies. Exposure across all the SDLC process, including testing and deployment. Expertise in Microsoft Azure is mandatory including components like Azure Data Factory, Azure Data Lake Storage, Azure SQL, Azure DataBricks, HD Insights, ML Service etc. Good knowledge of Python and Spark are required. Experience in ETL & ELT Good understanding of one scripting language Good understanding of how to … Skills: Data Ops, ML Ops, Deep expertise in Azure Databricks, ETL frameworks. Expertise in Microsoft Azure is mandatory including components like Azure Data Factory, Azure Data Lake Storage, Azure SQL, Azure DataBricks, HD Insights, ML Service etc. Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to More ❯

data technologies. Exposure across all the SDLC process, including testing and deployment. Expertise in Microsoft Azure is mandatory including components like Azure Data Factory, Azure Data Lake Storage, Azure SQL, Azure DataBricks, HD Insights, ML Service etc. Good knowledge of Python and Spark are required. Experience in ETL & ELT Good understanding of one scripting language Good understanding of how to … Skills: Data Ops, ML Ops, Deep expertise in Azure Databricks, ETL frameworks. Expertise in Microsoft Azure is mandatory including components like Azure Data Factory, Azure Data Lake Storage, Azure SQL, Azure DataBricks, HD Insights, ML Service etc. Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to More ❯

data technologies. Exposure across all the SDLC process, including testing and deployment. Expertise in Microsoft Azure is mandatory including components like Azure Data Factory, Azure Data Lake Storage, Azure SQL, Azure DataBricks, HD Insights, ML Service etc. Good knowledge of Python and Spark are required. Experience in ETL & ELT Good understanding of one scripting language Good understanding of how to … Skills: Data Ops, ML Ops, Deep expertise in Azure Databricks, ETL frameworks. Expertise in Microsoft Azure is mandatory including components like Azure Data Factory, Azure Data Lake Storage, Azure SQL, Azure DataBricks, HD Insights, ML Service etc. Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to More ❯

data technologies. Exposure across all the SDLC process, including testing and deployment. Expertise in Microsoft Azure is mandatory including components like Azure Data Factory, Azure Data Lake Storage, Azure SQL, Azure DataBricks, HD Insights, ML Service etc. Good knowledge of Python and Spark are required. Experience in ETL & ELT Good understanding of one scripting language Good understanding of how to … Skills: Data Ops, ML Ops, Deep expertise in Azure Databricks , ETL frameworks. Expertise in Microsoft Azure is mandatory including components like Azure Data Factory, Azure Data Lake Storage, Azure SQL, Azure DataBricks, HD Insights, ML Service etc. Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to More ❯

Key responsibilities will include: - Designing and implementing scalable data warehouse solutions using Snowflake - Building efficient ELT/ETL pipelines using DBT and other modern tooling - Writing and optimising complex SQL queries for large datasets - Applying software engineering principles to data systems, including version control, testing, monitoring and CI/CD - Working with cloud infrastructure on platforms like AWS, Azure or … be successful in this role: - Solid experience designing and delivering Snowflake-based data warehouse solutions - Strong background performing architectural assessments and collaborating with stakeholders to define optimal solutions - Strong SQL skills with experience across relational and non-relational databases - Proficiency in a modern programming language such as Python, Java or Scala - Hands-on experience using DBT for pipeline development and More ❯

the financial services industry working with corporate bond reference data. Ideally, some of these were when you were leading a team. Experience querying/retrieving data from structured databases (SQL/Oracle. Python). Experience with alternative investments Excellent ability to communicate technical ideas and concepts to colleagues outside the domain. Strong collaboration skills - ability to navigate cross functional teams More ❯

Reactive UI using Angular/React. Expert level proficiency in Java/C#/GOLang with Full SDLC experience and expertise in AWS managed compute. Familiarity with AWS Storage, SQL, and No SQL databases with awareness of protocols such as gRPC, Web-sockets, and GraphQL. Preferred experience in Event-driven Micro-services architecture and building Distributed systems. Experience in developing More ❯

relevant artifacts like technical documentation, presentations, and executive summaries. Understand the organization's processes, objectives, and challenges. Work with big data, explaining challenges and solutions to partners. Write advanced SQL and understand different SQL flavors and querying tools. Know important data sources and support channels to resolve data issues. Use best practices for data quality checks and query optimization. Write … years of work experience OR 4+ years in a comparable data analytics role. Experience delivering data-driven insights and recommendations through multiple projects. Advanced experience using R, Python, or SQL for data analysis, structuring, transforming, and visualizing big data. Experience delivering analytics projects to different business areas with strong business acumen. Understanding of MMM & incrementality testing techniques. Critical thinking, problem More ❯

have experience with using CI/CD tooling to analyse, build, test and deploy your code and proven experience in their technologies. You have experience in database technologies (e.g., SQL, NoSQL such as Elasticsearch and Graph databases). You have a good understanding of coding best practices and design patterns and experience with code and data versioning, dependency management, code More ❯

mindset with a willingness to learn and take initiative. • Ability to communicate technical concepts to non-technical stakeholders and to work collaboratively. • Commercial experience with a data transformation tool (SQL, Power Query, etc). • Commercial experience building data analysis models (Power BI, Tableau, etc). Nice to Have: • Strong data-modelling and DAX knowledge. • Experience extracting data from OLTP schemas 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 ❯

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 ❯

team knowledge-sharing and best practice initiatives What You’ll Bring 3+ years' experience in a data engineering role, ideally in a cloud-native environment Strong programming skills in SQL and Python for data transformation and workflow automation Experience with AWS data tools (e.g. Redshift, Glue, Lambda, S3 ) and infrastructure tools such as Terraform Understanding of data modelling concepts (e.g. More ❯

experience or strong enthusiasm for AI and generative technologies. Strong experience with both C#/.NET and modern web technologies (TypeScript, NodeJS, React). Proficiency in relational databases (MS SQL) and data integration methodologies. Experience developing APIs and working with diverse third-party system integrations. Familiarity with AWS cloud services and serverless architecture (preferred). Knowledge of CI/CD More ❯

and system improvement. Experience supporting financial applications in a production environment. Familiarity with ticket management systems and structured support processes. Some familiarity with any of the following: Java, Python, SQL, C#, KDB. A passion for finance and technology, with a commercial mindset. Excellent communication and coordination skills. Any experience with third-party systems such as Fidessa, Bloomberg, Refinitiv, LSE, Morning More ❯

and system improvement. Experience supporting financial applications in a production environment. Familiarity with ticket management systems and structured support processes. Some familiarity with any of the following: Java, Python, SQL, C#, KDB. A passion for finance and technology, with a commercial mindset. Excellent communication and coordination skills. Any experience with third-party systems such as Fidessa, Bloomberg, Refinitiv, LSE, Morning More ❯

Looking For: 5+ years of data engineering experience, with 2+ years in a senior role Deep expertise with AWS services (S3, Glue, Lambda, SageMaker, Redshift, etc.) Strong Python and SQL skills; experience with PySpark a bonus Familiarity with containerization (Docker), orchestration (Airflow, Step Functions), and infrastructure as code (Terraform/CDK) Solid understanding of machine learning model lifecycle and best More ❯

architectural clarity, correctness, and style. Essential Criteria Full stack software engineer with a passion for clean, scalable code 2+ years of professional software development experience Mandatory : Python 3, JavaScript, SQL databases/language, Linux Strongly Desired : Django or Flask (other Python frameworks also considered) Desired : Frontend libraries like React.js or Vue.js Nice to Have : NoSQL, Grafana, GitLab, AWS A degree More ❯

architectural clarity, correctness, and style. Essential Criteria Full stack software engineer with a passion for clean, scalable code 2+ years of professional software development experience Mandatory : Python 3, JavaScript, SQL databases/language, Linux Strongly Desired : Django or Flask (other Python frameworks also considered) Desired : Frontend libraries like React.js or Vue.js Nice to Have : NoSQL, Grafana, GitLab, AWS A degree More ❯

broader project team Excellent communication skills and stakeholder engagement experience Solid analytical mindset with a structured approach to problem-solving Familiarity with Azure , DevOps pipelines , and cloud-based deployments SQL knowledge is a plus Additional Details: Roles are London-based , with hybrid working available Working as part of a growing, delivery-focused team in a high-visibility environment Suitable for More ❯

broader project team Excellent communication skills and stakeholder engagement experience Solid analytical mindset with a structured approach to problem-solving Familiarity with Azure , DevOps pipelines , and cloud-based deployments SQL knowledge is a plus Additional Details: Roles are London-based , with hybrid working available Working as part of a growing, delivery-focused team in a high-visibility environment Suitable for More ❯

measurement You 5+ years' experience in marketing analytics or performance measurement, ideally in an agency environment Advanced knowledge of regression models , predictive analytics , and time series forecasting Proficient in SQL, Excel (including Power Query and PivotTables), and either Python or R Skilled in dashboard development using tools like Power BI and Looker Studio Strong understanding of CRM, digital, web, and More ❯

to work in the UK and meet the following criteria: Required Skills & Experience: Bachelor's degree in Computer Science, Mathematics, Statistics, Business Administration or related field Advanced knowledge of SQL Good knowledge of Python, including popular Data Science packages (pandas, matplotlib, seaborn, numpy, sklearn) Familiarity with what is happening under the hood of popular Machine Learning algorithms Strong problem-solving More ❯