1 to 25 of 36 Relational Database Jobs in the South West

gain exposure to the organisation’s technology stack, including: .NET and .NET Core. C# and REST APIs. React and modern frontend development. SQL and relational databases. Azure cloud services. Azure DevOps and CI/CD pipelines. Containerisation (Docker). Modern data platforms such as Snowflake or Microsoft Fabric. ...

development OpenAPI/Swagger Cloud & Infrastructure Cloud services (AWS or Azure) Containerisation & Orchestration (Docker, Kubernetes, OpenShift) Infrastructure as Code (Terraform, Ansible) Data & Search Technologies Relational Databases (e.g. PostgreSQL) Elasticsearch/Opensearch Testing & Quality Unit testing and automation Testing frameworks (e.g. Mocha, Jest, Cypress) Delivery & Collaboration Experience working ...

development OpenAPI/Swagger Cloud & Infrastructure Cloud services (AWS or Azure) Containerisation & Orchestration (Docker, Kubernetes, OpenShift) Infrastructure as Code (Terraform, Ansible) Data & Search Technologies Relational Databases (e.g. PostgreSQL) Elasticsearch/Opensearch Testing & Quality Unit testing and automation Testing frameworks (e.g. Mocha, Jest, Cypress) Delivery & Collaboration Experience working ...

TypeScript, Python, Java REST API development & OpenAPI/Swagger Cloud services (AWS or Azure) Containerisation & Orchestration (Docker, Kubernetes, OpenShift) Infrastructure as Code (Terraform, Ansible) Relational Databases (e.g. PostgreSQL) Elasticsearch/Opensearch Unit testing/automation and use of testing frameworks (e.g. Mocha, Jest, Cypress) We appreciate ...

Strong experience developing with PHP and Laravel Solid understanding of REST APIs Experience working with AWS and modern deployment practices Good knowledge of relational databases (e.g. MySQL) Comfortable working in collaborative, agile environments Passion for writing clean, maintainable, and scalable code Desirable Frontend exposure (JavaScript, TypeScript, React) Experience with ...

leadership roles (eg. Head of Engineering, Technical Lead) Expert-level proficiency in Java and frameworks like Spring Boot for building microservices Strong expertise with relational databases (Oracle) and data modelling expertise (canonical data models, JSON) Deep experience with enterprise messaging platforms (Kafka, IBM MQ) Proven experience implementing AI/ ...

build scalable, reliable applications. Containerisation and deployment tools such as Docker, with exposure to Infrastructure as Code (Terraform would be a bonus). Relational databases such as PostgreSQL, including designing efficient data models and writing performant queries. Writing clean, maintainable code, following engineering best practices including testing, code reviews ...

commercial Kotlin or JVM based engineering experience (willingness to work with Kotlin) An ability to write simple, clean code Experience and understanding of databases; relational databases are a must, NoSql would be nice too Be able to quickly understand complex, financial business domains Understand different software architectures rapidly Understands ...

Recent experience with using a JVM language (Java/Scala/Kotlin, preferably Java 8+) Understanding of RESTful APIs and web technologies Understanding of relational databases Experience in all the stages of software development lifecycle (requirements, design, architecture, development, testing, deployment, release and support) Ability to work ...

What technical skills you ll need to have Strong commercial Kotlin experience An ability to write simple, clean code Experience and understanding of databases; relational databases are a must, NoSql would be nice too Be able to quickly understand complex, financial business domains Understand different software architectures rapidly Understands ...

cloud-native data services. Extensive experience designing and building large-scale data pipelines and platforms. Strong expertise in SQL, data modelling, and database optimisation (relational, vector and NoSQL). Proficiency in distributed data processing frameworks (e.g., Spark, Flink, Hadoop). Deep knowledge of cloud data platforms (AWS, Azure … with real-time/streaming data technologies, data Ingestion/ETL (e.g., Apache Kafka, Apache NiFi, Kinesis, Pub/Sub). Strong proficiency in relational and non-relational databases (e.g., PostgreSQL, MongoDB, Cassandra). Deep knowledge of data transformation and ETL pipelines and APIs. Security cleared or ability ...

service responsibilities. Experience designing and maintaining RESTful APIs commercially. Comfort with OpenAPI/Swagger, OAuth2, and versioning strategies. Ability to design and maintain relational databases (MySQL, PostgreSQL), including query performance, indexing, and data modelling. You enjoy mapping complex technical landscapes: understanding existing systems, dependencies, and constraints before proposing solutions. ...

Data & Integration Solutions via email at Ross.DSouza@nhsbt.nhs.uk Person Specification Qualifications Essential Masters Degree in a related discipline OR equivalent experience Extensive training in database tools and methodologies Experience Essential Substantial experience of database platforms and technologies in both on-premises and cloud environments Good understanding of relational database theory and technology Knowledge and experience of working in the Microsoft BI Stack (e.g. Azure Data Factory, Azure Synapse, Power BI) Able to manipulate, analyse, and interpret complex data in a structured manner, and draw conclusions, whilst having an eye for detail Readily being able to identify ...

Java (preferred) or solid experience with similar backend programming languages. Familiarity with messaging systems such as Kafka or RabbitMQ, and strong knowledge of relational databases (SQL). Excellent communication and collaboration skills, combined with a growth mindset and focus on delivering user and business value. Nice to Have: Understanding ...

tooling to enable research at scale. What we expect from you Experience designing and delivering production-grade analytical Python solutions Experience working with relational databases, and SQL-like operations Understanding of machine learning techniques such as regularised regression, clustering or tree-based ensembles (and experience applying them with packages ...

vision, FPGA exposure, electronics fundamentals. Platform Engineering Cloud infrastructure, AWS, distributed systems, backend services, RESTful APIs, microservices architecture, service integration, data pipelines, storage systems, relational databases (MySQL), scalability, system reliability, observability, infrastructure as code, serverless deployments, containerisation (Docker), AWS services (Lambda, SQS, EC2, S3), IAM permissions (AWS), DevOps security … maintenance of ML solutions, Python development, Python-based ML frameworks, PyTorch, TensorFlow, sklearn, OpenCV, NumPy, feature development, code review, pytest, linting, bug fixing, relational databases, database design and maintenance, AWS/cloud infrastructure, CI/CD pipelines, developer tooling, Linux systems The Role As an OBC Software Engineer ...

Strong communication, stakeholder management, and influencing skills. Demonstrated ability to work effectively across cross-functional teams and navigate ambiguity. Preferred Qualifications Working knowledge of relational databases, data pipelines, and data modelling concepts. Familiarity with SQL and Python. Exposure to semantic modelling, metadata management, data governance, or knowledge graph technologies. ...

objectives. What do you need? Knowledge of Java and Spring Boot. Knowledge and experience with asynchronous messaging systems, such as Kafka. Experience working with relational databases, SQL query optimization, and schema design. A strong product mindset, prioritizing customer needs and making data-driven decisions. A strong sense of ownership ...

scalable. Qualifications What does it take: 5+ years of experience in Java or Kotlin (or other JVM based language) Strong experience with Spring framework, relational databases, distributed and concurrent systems (Kafka) Close collaboration with product managers, data scientists, data analysts, engineers and other product teams is a must have ...

Deep understanding of microservices and event-driven architectures. Product mindset you think about customer impact, not just technical implementation. Strong experience designing and optimizing relational databases. Following and advocating best coding practices, continuous delivery and code reviews. Ability to communicate technical concepts clearly across teams and stakeholders. Additional Information ...

various tools and technologies, such as SQL, NoSQL, ETL, Luigi, Airflow, Argo, etc. Implement data storage solutions using different types of databases, such as relational, non-relational, or cloud-based. Working collaboratively with the client and cross-functional teams to identify and address data-related issues and opportunities. … teams and independently. Line/Team management experience, leadership experience Experience of working with cloud infrastructure (Azure or AWS, GCP is beneficial) SQL and relational databases (e.g. MS SQL/Azure SQL, PostgreSQL) You have framework experience within either Flask, Tornado or Django, Docker Experience working with ETL pipelines ...

various tools and technologies, such as SQL, NoSQL, ETL, Luigi, Airflow, Argo, etc. Implement data storage solutions using different types of databases, such as relational, non-relational, or cloud-based. Working collaboratively with the client and cross-functional teams to identify and address data-related issues and opportunities. … operating as part of data engineering teams and independently. Experience of working with cloud infrastructure (Azure or AWS, GCP is beneficial) SQL and relational databases (e.g. MS SQL/Azure SQL, PostgreSQL) You have framework experience within either Flask, Tornado or Django, Docker Experience working with ETL pipelines ...

Spring), Kubernetes, AWS, and service mesh architectures and technologies such as RESTful APIs, API design, Swagger, OpenAPI, and OAuth2. Familiarity and working experience with relational databases (e.g.MySQL, PostgreSQL) and non-relational databases (e.g., MongoDB, Cassandra). 6+ years in customer-facing engineering roles ideally within financial services ...

strong product mindset, accountability, and the ability to drive projects independently, making data-driven decisions with the customer in mind. Data Proficiency: Experience with relational and non-relational databases, including query optimisation and designing resilient schemas. Code Quality: Exceptional fundamentals, sharp problem-solving ability, and a commitment ...

driven architecture, distributed system and concurrency patterns. Hands-on experience with Kafka or similar messaging systems, including designing robust, scalable event pipelines. Proficiency with relational and non-relational databases, including query optimization, schema design, and thoughtful data lifecycle management for sensitive information. Product-oriented thinking with a strong ...