1,876 to 1,900 of 3,347 SQL Jobs in London

driven. Therefore, we will provide you with access to the following additional courses to ensure you are suitably employable as a data analyst. Microsoft excel - to expert level. Learn SQL - the programming language used for extracting data from more complex databases. Learn Python 3 - Python 3 is a simple to use programming language used by many analysts. Learn Tableau - Tableu More ❯

driven. Therefore, we will provide you with access to the following additional courses to ensure you are suitably employable as a data analyst. Microsoft excel - to expert level. Learn SQL - the programming language used for extracting data from more complex databases. Learn Python 3 - Python 3 is a simple to use programming language used by many analysts. Learn Tableau - Tableu More ❯

driven. Therefore, we will provide you with access to the following additional courses to ensure you are suitably employable as a data analyst. Microsoft excel - to expert level. Learn SQL - the programming language used for extracting data from more complex databases. Learn Python 3 - Python 3 is a simple to use programming language used by many analysts. Learn Tableau - Tableu More ❯

driven. Therefore, we will provide you with access to the following additional courses to ensure you are suitably employable as a data analyst. Microsoft excel - to expert level. Learn SQL - the programming language used for extracting data from more complex databases. Learn Python 3 - Python 3 is a simple to use programming language used by many analysts. Learn Tableau - Tableu More ❯

driven. Therefore, we will provide you with access to the following additional courses to ensure you are suitably employable as a data analyst. Microsoft excel - to expert level. Learn SQL - the programming language used for extracting data from more complex databases. Learn Python 3 - Python 3 is a simple to use programming language used by many analysts. Learn Tableau - Tableu More ❯

driven. Therefore, we will provide you with access to the following additional courses to ensure you are suitably employable as a data analyst. Microsoft excel - to expert level. Learn SQL - the programming language used for extracting data from more complex databases. Learn Python 3 - Python 3 is a simple to use programming language used by many analysts. Learn Tableau - Tableu More ❯

driven. Therefore, we will provide you with access to the following additional courses to ensure you are suitably employable as a data analyst. Microsoft excel - to expert level. Learn SQL - the programming language used for extracting data from more complex databases. Learn Python 3 - Python 3 is a simple to use programming language used by many analysts. Learn Tableau - Tableu More ❯

which are normally IT driven. We provide you with access to the following courses to ensure you are employable as a data analyst. Microsoft excel - to expert level. Learn SQL - the programming language used for extracting data from more complex databases. Learn Python 3 - Python 3 is a simple to use programming language used by many analysts. Learn Tableau - Tableu More ❯

in AWS data platforms and services. Solid understanding of data governance principles (data quality, metadata, access control). Familiarity with big data technologies (Spark, Hadoop) and distributed computing. Advanced SQL skills and proficiency in at least one programming language (Python, Java). Additional Requirements Immediate availability for an October start. Must be UK-based with unrestricted right to work in More ❯

improvements, performance optimisation, and best engineering practices. Technology Environment Languages: Python Architecture: Cloud-native, containerised microservices (Kubernetes, Docker). Infrastructure: Kafka, Terraform, Jenkins, Git, CI/CD pipelines. Data: SQL/NoSQL databases, distributed data processing, data lake environments. Quant Integration: Comfortable working with quant libraries and APIs. Ideal Profile Built cloud native risk systems that calculate and distribute option More ❯

improvements, performance optimisation, and best engineering practices. Technology Environment Languages: Python Architecture: Cloud-native, containerised microservices (Kubernetes, Docker). Infrastructure: Kafka, Terraform, Jenkins, Git, CI/CD pipelines. Data: SQL/NoSQL databases, distributed data processing, data lake environments. Quant Integration: Comfortable working with quant libraries and APIs. Ideal Profile Built cloud native risk systems that calculate and distribute option More ❯

improvements, performance optimisation, and best engineering practices. Technology Environment Languages: Python Architecture: Cloud-native, containerised microservices (Kubernetes, Docker). Infrastructure: Kafka, Terraform, Jenkins, Git, CI/CD pipelines. Data: SQL/NoSQL databases, distributed data processing, data lake environments. Quant Integration: Comfortable working with quant libraries and APIs. Ideal Profile Built cloud native risk systems that calculate and distribute option More ❯

improvements, performance optimisation, and best engineering practices. Technology Environment Languages: Python Architecture: Cloud-native, containerised microservices (Kubernetes, Docker). Infrastructure: Kafka, Terraform, Jenkins, Git, CI/CD pipelines. Data: SQL/NoSQL databases, distributed data processing, data lake environments. Quant Integration: Comfortable working with quant libraries and APIs. Ideal Profile Built cloud native risk systems that calculate and distribute option More ❯

as a software developer, support engineer, quant, or a similar pre-sales role). Technical Depth: Strong foundational knowledge of software engineering principles. Comfortable with complex enterprise architectures, databases (SQL), and scripting (e.g., Python, shell). Experience with financial messaging protocols (e.g., FIX) is a major plus. Financial knowledge: A solid understanding of financial instruments across multiple asset classes (e.g. More ❯

as a software developer, support engineer, quant, or a similar pre-sales role). Technical Depth: Strong foundational knowledge of software engineering principles. Comfortable with complex enterprise architectures, databases (SQL), and scripting (e.g., Python, shell). Experience with financial messaging protocols (e.g., FIX) is a major plus. Financial knowledge: A solid understanding of financial instruments across multiple asset classes (e.g. More ❯

as a software developer, support engineer, quant, or a similar pre-sales role). Technical Depth: Strong foundational knowledge of software engineering principles. Comfortable with complex enterprise architectures, databases (SQL), and scripting (e.g., Python, shell). Experience with financial messaging protocols (e.g., FIX) is a major plus. Financial knowledge: A solid understanding of financial instruments across multiple asset classes (e.g. More ❯

as a software developer, support engineer, quant, or a similar pre-sales role). Technical Depth: Strong foundational knowledge of software engineering principles. Comfortable with complex enterprise architectures, databases (SQL), and scripting (e.g., Python, shell). Experience with financial messaging protocols (e.g., FIX) is a major plus. Financial knowledge: A solid understanding of financial instruments across multiple asset classes (e.g. More ❯

their office 3 days per week, they may have a bit of flexibility on this and very flexible hours. Tech Stack: Java 11 (moving to Java 17) Relational Databases- SQL and ORM Tech (JPA, Hibernate) Frameworks- preferably Vaadin or JSF, Wicket, Spring MVC Spring Boot AWS Microservices ML/Big Data- desirable Docker- desirable messaging- GRPC/Solis- desirable Responsibilities More ❯

their office 3 days per week, they may have a bit of flexibility on this and very flexible hours. Tech Stack: Java 11 (moving to Java 17) Relational Databases- SQL and ORM Tech (JPA, Hibernate) Frameworks- preferably Vaadin or JSF, Wicket, Spring MVC Spring Boot AWS Microservices ML/Big Data- desirable Docker- desirable messaging- GRPC/Solis- desirable Responsibilities More ❯

their office 3 days per week, they may have a bit of flexibility on this and very flexible hours. Tech Stack: Java 11 (moving to Java 17) Relational Databases- SQL and ORM Tech (JPA, Hibernate) Frameworks- preferably Vaadin or JSF, Wicket, Spring MVC Spring Boot AWS Microservices ML/Big Data- desirable Docker- desirable messaging- GRPC/Solis- desirable Responsibilities More ❯

their office 3 days per week, they may have a bit of flexibility on this and very flexible hours. Tech Stack: Java 11 (moving to Java 17) Relational Databases- SQL and ORM Tech (JPA, Hibernate) Frameworks- preferably Vaadin or JSF, Wicket, Spring MVC Spring Boot AWS Microservices ML/Big Data- desirable Docker- desirable messaging- GRPC/Solis- desirable Responsibilities More ❯

fast-growing tech organisation or business insight/analytics roles or operational experience in finance, management consulting. Strong analytical skills and a structured approach to solving unique business problems. SQL experience a plus Strong project management skills with experience managing end-to-end execution of projects/initiatives that have transformed your company's operations and delivered quantifiable business impact More ❯

fast-growing tech organisation or business insight/analytics roles or operational experience in finance, management consulting. Strong analytical skills and a structured approach to solving unique business problems. SQL experience a plus Strong project management skills with experience managing end-to-end execution of projects/initiatives that have transformed your company's operations and delivered quantifiable business impact More ❯

fast-growing tech organisation or business insight/analytics roles or operational experience in finance, management consulting. Strong analytical skills and a structured approach to solving unique business problems. SQL experience a plus Strong project management skills with experience managing end-to-end execution of projects/initiatives that have transformed your company's operations and delivered quantifiable business impact More ❯

fast-growing tech organisation or business insight/analytics roles or operational experience in finance, management consulting. Strong analytical skills and a structured approach to solving unique business problems. SQL experience a plus Strong project management skills with experience managing end-to-end execution of projects/initiatives that have transformed your company's operations and delivered quantifiable business impact More ❯