351 to 375 of 1,011 SQL Jobs in the City of London

deliver tangible business value. What You’ll Bring: Solid understanding of wealth or asset management products and operations. Experience working with structured and unstructured data from multiple sources. Strong SQL skills and familiarity with modern data platforms , APIs , and cloud technologies . Excellent communication and stakeholder management abilities. Analytical mindset with a focus on accuracy, structure, and impact. More ❯

workflows, thrives in a fast-moving environment, and wants to work across a variety of platforms and challenges. What you'll need: Solid hands-on experience with Python and SQL Strong knowledge of data pipelines, cloud infrastructure (AWS & Azure), and integration tools Familiarity with tools like Airflow and version control, GIT. Confident working with structured and unstructured datasets Comfortable contributing 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 ❯

Enable self-serve insights through well-structured models and documentation What you’ll bring 4+ years’ experience in data engineering or a similar technical data role Strong Python and SQL skills, plus solid data modelling ability Experience with GCP (BigQuery, Airflow, Pub/Sub, Cloud Storage) Familiarity with dbt, version control, and testing frameworks A collaborative mindset and interest in More ❯

Enable self-serve insights through well-structured models and documentation What you’ll bring 4+ years’ experience in data engineering or a similar technical data role Strong Python and SQL skills, plus solid data modelling ability Experience with GCP (BigQuery, Airflow, Pub/Sub, Cloud Storage) Familiarity with dbt, version control, and testing frameworks A collaborative mindset and interest 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 ❯

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 ❯

and best practices in data engineering. Requirements: Bachelor’s or Master’s in Computer Science, Engineering, or a related field. 1+ years of experience in data engineering. Proficiency in SQL, Python, and big data tools like Spark. Excellent problem-solving skills and a collaborative mindset. More ❯

and best practices in data engineering. Requirements: Bachelor’s or Master’s in Computer Science, Engineering, or a related field. 1+ years of experience in data engineering. Proficiency in SQL, Python, and big data tools like Spark. Excellent problem-solving skills and a collaborative mindset. More ❯

use maths, data and creativity to solve tough problems, with scope to grow into project leadership if senior. What You’ll Bring Strong cricket knowledge + statistical chops (Python, SQL) Pragmatic problem-solving, from quick MVPs to detailed modelling Ability to explain complex analysis clearly Bonus Points Sports/betting modelling, market knowledge, leadership skills, AWS experience. London-based (flexible More ❯

use maths, data and creativity to solve tough problems, with scope to grow into project leadership if senior. What You’ll Bring Strong cricket knowledge + statistical chops (Python, SQL) Pragmatic problem-solving, from quick MVPs to detailed modelling Ability to explain complex analysis clearly Bonus Points Sports/betting modelling, market knowledge, leadership skills, AWS experience. London-based (flexible More ❯

Demonstrable data engineering/BI skills, with a focus on having delivered solutions in Google Cloud Platform (GCP) Strong experience designing and delivering data solutions using BigQuery Proficient in SQL and Python Experience working with Big Data technologies such as Apache Spark or PySpark Excellent communication skills, with the ability to engage effectively with senior stakeholders Nice to haves: GCP More ❯

to the team as a BI Developer. To be considered for this role you must have experience in: Domain knowledge – understanding of the insurance sector Data literate - experience with SQL is a must and AD or Databricks exposure would be desirable. BI experience – familiarity with tools such as Qlik, Power BI, Tableau, Looker, etc. Role is paying More ❯

Demonstrable data engineering/BI skills, with a focus on having delivered solutions in Google Cloud Platform (GCP) Strong experience designing and delivering data solutions using BigQuery Proficient in SQL and Python Experience working with Big Data technologies such as Apache Spark or PySpark Excellent communication skills, with the ability to engage effectively with senior stakeholders Nice to haves: GCP More ❯

of proven experience in Python and Django development Strong knowledge of AWS services and cloud architecture Experience with RESTful APIs and backend development Good understanding of database management and SQL Excellent problem-solving skills and attention to detail Strong communication and teamwork abilities How to Apply: Click the link below or apply directly to j.dancer@tenthrevolution.com More ❯

to the team as a BI Developer. To be considered for this role you must have experience in: Domain knowledge – understanding of the insurance sector Data literate - experience with SQL is a must and AD or Databricks exposure would be desirable. BI experience – familiarity with tools such as Qlik, Power BI, Tableau, Looker, etc. Role is paying More ❯

growth and optimisation of the enterprise data infrastructure Required Experience: Insurance industry experience is essential 5+ years of hands-on ETL experience across data integration architectures Strong expertise in SQL, Azure Data Factory, JSON, XML, and Dataflows Proven experience with data profiling, cleansing, and validation Excellent communication and organisational skills What’s on Offer: Competitive salary Hybrid working (a few More ❯

finance/trading a plus) Strong Linux and command-line skills Knowledge of market data, order flows, and related protocols Ability to read and troubleshoot code (C++, JavaScript, Kotlin) SQL proficiency and familiarity with Git/CI-CD Experience with AWS, Prometheus, Grafana, RabbitMQ Tech Stack Backend: Kotlin, Node.js, TypeScript, RabbitMQ Cloud: AWS Databases: MySQL Monitoring: Prometheus, Grafana, CloudWatch, OpenSearch More ❯

growth and optimisation of the enterprise data infrastructure Required Experience: Insurance industry experience is essential 5+ years of hands-on ETL experience across data integration architectures Strong expertise in SQL, Azure Data Factory, JSON, XML, and Dataflows Proven experience with data profiling, cleansing, and validation Excellent communication and organisational skills What’s on Offer: Competitive salary Hybrid working (a few More ❯

finance/trading a plus) Strong Linux and command-line skills Knowledge of market data, order flows, and related protocols Ability to read and troubleshoot code (C++, JavaScript, Kotlin) SQL proficiency and familiarity with Git/CI-CD Experience with AWS, Prometheus, Grafana, RabbitMQ Tech Stack Backend: Kotlin, Node.js, TypeScript, RabbitMQ Cloud: AWS Databases: MySQL Monitoring: Prometheus, Grafana, CloudWatch, OpenSearch More ❯

Implement robust risk management and stress-testing tools 🎯 What You Bring • 5+ years Java (OOP, low-latency systems) • 4+ years FX or Crypto trading experience • Python (NumPy, Pandas, SciPy) • SQL or time-series DBs • Linux & distributed systems expertise • Strong communication & market intuition ✨ Bonus Skills • KDB+/Q, Haskell, or other functional languages • Machine learning (scikit-learn, etc.) • Quant tools & mathematical More ❯

modern, data-driven culture all within a collaborative environment that values innovation and ownership. Tech you’ll be working with: Azure Data Lake Azure Synapse Databricks Data Factory Python, SQL, PySpark Terraform, GitHub Actions, CI/CD pipelines You’ll thrive here if you: Have strong experience building and leading Azure-based data platforms Enjoy mentoring and guiding other engineers More ❯

modern, data-driven culture all within a collaborative environment that values innovation and ownership. Tech you’ll be working with: Azure Data Lake Azure Synapse Databricks Data Factory Python, SQL, PySpark Terraform, GitHub Actions, CI/CD pipelines You’ll thrive here if you: Have strong experience building and leading Azure-based data platforms Enjoy mentoring and guiding other engineers More ❯