51 to 75 of 149 Relational Database Jobs in London

Java, Databases, Kubernetes, Docker etc). - Experience working in a compliant systems environment such as ISO 27001, SOC or PCI-DSS - Incident, change & problem management experience. - Knowledge of SQL relational databases If you’ve read this far – thank you & please do hit the apply now button or get in touch for a conversation. Hope to hear from you soon More ❯

Java, Databases, Kubernetes, Docker etc). - Experience working in a compliant systems environment such as ISO 27001, SOC or PCI-DSS - Incident, change & problem management experience. - Knowledge of SQL relational databases If you’ve read this far – thank you & please do hit the apply now button or get in touch for a conversation. Hope to hear from you soon More ❯

technologies (HTML, JavaScript, JQuery, CSS).• Strong analytical and problem-solving skills.• Excellent communication skills and experience working in collaborative teams.• Proficiency with Microsoft Office tools and understanding of relational databases and SQL.• Understanding of student data and its use in Higher Education. Desirable: • Knowledge of StuTalk, APIs, and system integration mechanisms.• Experience in Agile/Lean environments, or More ❯

structured data processing. Advanced programming skills in Python, PySpark, and SQL, with the ability to build modular, efficient, and scalable data pipelines. Deep expertise in data modeling for both relational databases and data warehouses, including Star and Snowflake schema designs. Extensive experience working with AWS Redshift and Aurora for data warehousing and transactional workloads. Experience using dbt (Data Build More ❯

structured data processing. Advanced programming skills in Python, PySpark, and SQL, with the ability to build modular, efficient, and scalable data pipelines. Deep expertise in data modeling for both relational databases and data warehouses, including Star and Snowflake schema designs. Extensive experience working with AWS Redshift and Aurora for data warehousing and transactional workloads. Experience using dbt (Data Build More ❯

structured data processing. Advanced programming skills in Python, PySpark, and SQL, with the ability to build modular, efficient, and scalable data pipelines. Deep expertise in data modeling for both relational databases and data warehouses, including Star and Snowflake schema designs. Extensive experience working with AWS Redshift and Aurora for data warehousing and transactional workloads. Experience using dbt (Data Build More ❯

structured data processing. Advanced programming skills in Python, PySpark, and SQL, with the ability to build modular, efficient, and scalable data pipelines. Deep expertise in data modeling for both relational databases and data warehouses, including Star and Snowflake schema designs. Extensive experience working with AWS Redshift and Aurora for data warehousing and transactional workloads. Experience using dbt (Data Build More ❯

Tech Lead to improve our development and agile practices. The requirements Essential: Experience building scalable back-end systems for payments or financial ledgers Proficiency in Python and experience with relational databases, ideally PostgreSQL Experience building highly available systems that process a large number of transactions (10,000+ per day) A strong numerical or technical background (for example, a degree More ❯

speakers. Software Developer VoIP requirements The following are essential: - Strong skills in Python 3 VoIP experience including SIP Excellent Linux knowledge Good knowledge of containers and orchestration, especially Docker Relational database skills MySQL, MariaDB or PostgreSQL Any of the following would be good to have: - Wider VoIP skills: RTP, Asterisk, OpenSIPS, RTPEngine, WebRTC Programming skills in C/ More ❯

financial services - mandatory. Expertise in distributed programming with distributed cache/data grids. Strong cloud experience, ideally with AWS. Extensive experience with RESTful services and microservices. Strong knowledge of relational databases. What you'll get in return Initial 12-month contract with extensions. Up to £900pd umbrella. Flexible London-based hybrid working. What you need to do now If More ❯

new technologies Working in agile teams to deliver high-quality software What you'll bring: 2+ years' experience in software development Proficiency in Python, JavaScript, or C# Knowledge of relational databases and RESTful APIs Strong problem-solving and communication skills Curiosity and eagerness to learn What's on offer: Hybrid working in central London (Covent Garden/Soho/ More ❯

/Data Factory and modern data warehouse technologies - Databricks a must! Experience in data management disciplines, including data integration, modeling, optimisation, data quality and Master Data Management. Experience with database technologies such as RDBMS (SQL Server, Oracle) or NoSQL (MongoDB). Knowledge in Apache technologies such as Spark, Kafka and Airflow to build scalable and efficient data pipelines. Have More ❯

of API Gateway design and enhancement Experience modernising legacy systems and migrating to cloud-native platforms Solid grasp of AWS (API Gateway, Lambda, S3, VPC) Familiarity with Java, DB2, relational databases, and network concepts Desirable experience includes: OpenAPI schemas, Kubernetes, Spring Boot, JBOSS/EJB, Postgres, Python Prior work within UK government departments Ability to mentor and lead technical More ❯

Strong fundamentals in system design, software architecture, and data modelling , Deep experience working in complex domains - such as financial systems, logistics, or workflow-heavy platforms , Hands-on experience with relational databases (PostgreSQL preferred) , Comfortable working in an event-driven, modular monolith environment , Experience with refactoring legacy systems and shaping technical direction , (Desirable) Familiarity with DDD, CQRS, BDD, or similar More ❯

and competencies required to be successful in this role: Bachelor’s degree in a relevant field. Proficiency in Excel for data analysis and reporting. Good understanding of SQL and relational databases. Understanding of other programming languages such as Python/VBA would be beneficial. Strong attention to detail and analytical thinking. Clear and concise written and verbal communication skills. More ❯

and competencies required to be successful in this role: Bachelor’s degree in a relevant field. Proficiency in Excel for data analysis and reporting. Good understanding of SQL and relational databases. Understanding of other programming languages such as Python/VBA would be beneficial. Strong attention to detail and analytical thinking. Clear and concise written and verbal communication skills. More ❯

and competencies required to be successful in this role: Bachelor’s degree in a relevant field. Proficiency in Excel for data analysis and reporting. Good understanding of SQL and relational databases. Understanding of other programming languages such as Python/VBA would be beneficial. Strong attention to detail and analytical thinking. Clear and concise written and verbal communication skills. More ❯

and competencies required to be successful in this role: Bachelor’s degree in a relevant field. Proficiency in Excel for data analysis and reporting. Good understanding of SQL and relational databases. Understanding of other programming languages such as Python/VBA would be beneficial. Strong attention to detail and analytical thinking. Clear and concise written and verbal communication skills. More ❯

NumPy, dplyr). Solid grasp of statistical modelling and machine learning, with hands-on use of libraries such as scikit-learn, xgboost, PyMC3, TensorFlow. Experience working with SQL and relational databases. Ability to explain model behaviour through visualisations and reports. Familiarity with Git and collaborative development workflows. Good written and verbal communication; able to contribute to cross-functional discussions. More ❯

NumPy, dplyr). Solid grasp of statistical modelling and machine learning, with hands-on use of libraries such as scikit-learn, xgboost, PyMC3, TensorFlow. Experience working with SQL and relational databases. Ability to explain model behaviour through visualisations and reports. Familiarity with Git and collaborative development workflows. Good written and verbal communication; able to contribute to cross-functional discussions. More ❯

NumPy, dplyr). Solid grasp of statistical modelling and machine learning, with hands-on use of libraries such as scikit-learn, xgboost, PyMC3, TensorFlow. Experience working with SQL and relational databases. Ability to explain model behaviour through visualisations and reports. Familiarity with Git and collaborative development workflows. Good written and verbal communication; able to contribute to cross-functional discussions. More ❯

NumPy, dplyr). Solid grasp of statistical modelling and machine learning, with hands-on use of libraries such as scikit-learn, xgboost, PyMC3, TensorFlow. Experience working with SQL and relational databases. Ability to explain model behaviour through visualisations and reports. Familiarity with Git and collaborative development workflows. Good written and verbal communication; able to contribute to cross-functional discussions. More ❯

market operations Ability to design tools for live trade analysis, PnL tracking, and risk alerting Deep understanding of system-level optimization for HFT performance Familiarity with time-series or relational databases for logging and analytics Experience with cloud platforms and containerized infrastructure (AWS, Docker, Kubernetes) Comfortable working in distributed teams across time zones, especially on Linux-based systems Excellent More ❯

across the organisation, lead other data science engineers MINIMUM QUALIFICATIONS Industry experience using Python for data science (e.g. numpy, scipy, scikit, pandas, etc.) and SQL or other languages for relational databases. Experience with a cloud platform such as (AWS, GCP, Azure etc.) Experience with common data science tools; statistical analysis, mathematical modelling etc. Experience in developing analytical frameworks to More ❯

test automation frameworks from scratch. Strong knowledge of microservices architecture and testing challenges. Familiarity with CI/CD tools (Jenkins, GitHub Actions, GitLab CI). Experience with SQL and relational database testing. More ❯