101 to 125 of 305 Relational Database Jobs in London

advanced data warehousing techniques. Experience in designing and implementing scalable data architectures that meet the needs of complex, data-driven organisations. Strong SQL skills and a solid understanding of relational databases (e.g., PostgreSQL). Bonus: Advanced LookML knowledge and experience building data visualisation tools. Skilled in building and managing real-time and batch data pipelines using Kafka and DBT. More ❯

skills to effectively lead and motivate team. Excellent interpersonal, communication, presentation & consultative skills for effective collaboration with senior management. Good general business acumen. Thorough knowledge of databases technologies, both relational (such as Oracle, SQL Server and PostgreSQL) and non-relational database technologies as such as Memcached, MongoDB and Redis. Experience with Insurance/Reinsurance Systems and Data. More ❯

We are looking for an experienced Senior Database Engineer to design our data infrastructure. You will develop scalable, and secure database solutions that support our business applications and analytics platforms. Reporting into VP Architecture you will work with engineering, data science, and DevOps teams to ensure data integrity, performance, and availability across the organization. What you'll do … Design and implement scalable database architectures for transactional workloads. Develop data models, schemas, and storage strategies that align with business requirements and performance goals. Define database standards, best practices, and governance policies. Collaborate with application developers and data engineers to improve queries, indexing strategies, and data access patterns. Lead database migration, replication, and backup/recovery strategies … across cloud and on-prem environments. Monitor database performance, ensuring high availability and disaster recovery readiness. Recommend new database technologies, and platforms. Provide technical leadership and mentorship to database administrators and data engineers. About Experian Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending More ❯

development Experience with Serverless development such as AWS Lambdas or Azure Functions. Experience with Docker Experience with CI/CD such as Gitlab or Jenkins Experience with an RDBMS database and/or NoSQL database such as DocumentDB, DynamoDB, etc. Experience with automated testing Skills and Experience - Nice to Haves Experience in site reliability engineering Experience with event More ❯

Computer Science, Information Technology, or a related field. Proven experience as a Data Engineer or similar role. Proficiency with SQL A thorough understanding of data modelling in a traditional Relational Database environment Proficiency in programming languages such as Python, Java, or Scala. Strong knowledge of databases (e.g., SQL, NoSQL), data warehousing, and big data technologies. Experience implementing data More ❯

end and back-end programming experience. Proficiency in Ruby or similar high-level languages like Python, C#, or Java. Experience with front-end frameworks such as Vue or React. Relational database experience, including writing SQL in high-performance transactional systems. Other Requirements Availability for 4 hours of overlap with US Central Time. Ability to attend daily standups at More ❯

one or both of Python and Go would be advantageous. Strong knowledge of technologies that support the delivery of data via RESTful APIs. HTTP, TLS, etc. Strong understanding of Relational Database Management System Software - we use Postgres. An understanding of common distributed system problems, and an ability to guide others on how to tackle them. You have excellent More ❯

development, with a strong understanding of object-oriented programming principles. Experience with pandas, numpy, matplotlib, scipy, and web frameworks like Flask or FastAPI is a plus. Good understanding of relational databases such as Oracle and MS SQL Server. Previous experience in front-office roles or risk systems is a plus. Strong communication skills and ability to work collaboratively. Experience More ❯

business analyst in a trading or energy environment. Proficiency in SQL and Python for data querying and transformation. Solid background in data reconciliation, testing, and profiling . Experience with relational databases and data warehousing concepts. Exposure to market data and financial reference data . Knowledge of Agile frameworks and tools such as JIRA or Azure DevOps . Excellent communication More ❯

technical and non-technical stakeholders What We’re Looking For 4+ years’ experience across data engineering, data science, and data visualisation Proficiency in Python, SQL, R, and familiarity with relational databases (SQL Server, Oracle) Experience with cloud platforms (Azure or AWS), data formats (CSV, JSON, XML), and deployment tools (ADF, Azure ML) Strong data visualisation skills (Power BI, Tableau More ❯

technical and non-technical stakeholders What We’re Looking For 4+ years’ experience across data engineering, data science, and data visualisation Proficiency in Python, SQL, R, and familiarity with relational databases (SQL Server, Oracle) Experience with cloud platforms (Azure or AWS), data formats (CSV, JSON, XML), and deployment tools (ADF, Azure ML) Strong data visualisation skills (Power BI, Tableau 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 ❯

expertise 7+ years of Java Development experience Experience with Java libraries such as Spring Framework, Guava, Apache Commons, Guice/Dependency Injection, JPA Good knowledge of SQL, ORM, and Relational Databases Knowledge of MVS/COBOL/JCL Practical skills in CI/CD tools like Git, Maven, Gradle, Docker, Jenkins, Jira Strong command of Test-Driven Development Preferred More ❯

top-tier software products, focusing on backend systems and infrastructure. Proficiency in statically typed backend frameworks (e.g., Java, Golang, Typescript, C++), with Python skills as a plus. Experience with relational databases (e.g., PostgreSQL, MySQL) and ideally with NoSQL databases. Familiarity with CI/CD platforms (e.g., GitHub Actions, CircleCI, Cloud Build, etc.). Demonstrated expertise in developing scalable pipelines More ❯

in startup environment Strong PHP and Laravel experience Good ReactJS experience and good TypeScript experience Proven experience building full-stack web applications using PHP and React Strong foundations in relational databases (MySQL). Experience working with REST APIs and integrating third-party systems Previous experience working in startups at the seed or Series A/B stage Good experience More ❯

Native expertise. * Strong knowledge of iOS and Android platform fundamentals. * Solid understanding of UI/UX principles and best practices in mobile app design. * Familiarity with Redux, RESTful APIs, relational databases (MSSQL), and version control tools such as GitHub. * Experience with automated testing frameworks such as Mocha or Jest. * Strong understanding of clean code practices, domain-driven design, and More ❯

some of these areas: Pride in readable, well-designed, well-tested software Experience developing web applications in languages like Go, Ruby/Rails, Python, Scala, or Rust Familiarity with relational databases (PostgreSQL, MySQL) Experience with web architecture at scale (20krpm and above) Knowledge of NoSQL backends such as Redis, DynamoDB, Elasticsearch, Memcache Workplace & Diversity We prioritize our employees' welfare More ❯

requirements from clients Excellent communication skills, passion for technology, and a continuous learning mindset Experience working in cross-functional teams using agile methodologies Basic knowledge of object-oriented programming, relational databases, SQL, and data modeling Familiarity with software testing practices, APIs (REST, SOAP), web services, and cloud platforms like AWS or Google Cloud (preferred) 3+ years of hands-on 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 ❯

Degree level qualification and/or 2-5 years of experience Extensive experience using Unix/Linux servers Ability to write advanced SQL queries and a strong understanding of relational databases Scripting experience e.g. bash/shell, python or similar Proficient with Microsoft Excel and other Microsoft Office products Experience with FIX Protocol Proven use of GIT or similar More ❯

must Ideally Exposure to UK and EU equity markets including understanding of trade lifecycle but not a must Ideally Ability to write SQL queries and a strong understanding of relational databases but not a must Ideally Experience using Unix/Linux servers but not a must Previous use of GIT version control or similar Ideally Scripting experience e.g. bash More ❯

production Advanced proficiency in Python for data analysis, machine learning, and production-ready pipelines Solid experience with SQL for data manipulation Deep understanding of data modelling, ETL processes, and relational databases Experience with big data technologies and cloud platforms, ideally Azure Exposure to embedding models, vector search, and scalable deployment of LLM-powered solutions Other information Company Benefits and More ❯

and iterate quickly. Our Backend Stack Python is the dominant backend language used Flask&FastAPI Typing is used within our Python stack to power automated documentation and API definitions Relational Databases (PostgreSQL) at the heart of majority of services We're AWS for Cloud hosted services Heavy use of AWS lambda Serverless Docker (AWS ECS) for uniform development/ More ❯

with a strict deadline Ability to be agile and react quickly to changing priorities Strong understanding of: .NET (Core/framework) REST APIs OO programming languages (we use C#) Relational databases, ACID transactions Strong analytical and problem solving skills Able to work both individually and as part of an agile team Able to actively participate in technical and commercial More ❯