PostgreSQL and SQL Server including AWS and Azure environments. The ideal candidate will be proficient in managing cloud-native database deployments, automation, performance optimization, and support. Familiarity with other RDBMS and NoSQL platforms (e.g., Oracle, MySQL, MongoDB) and DevOps integration is a plus. Key Responsibilities: Cloud Database Administration: o Install, configure, and manage PostgreSQL and SQL Server instances in AWS More ❯
Experience in automating builds (CI/CD), feature flags, and automated testing. Bonus Skills: Experience with message-driven systems (e.g., Google Pub/Sub). Proficiency in relational databases (RDBMS), particularly with Postgres. Familiarity with NoSQL databases (document store/key-value store) is a plus. Experience with containerization technologies (Docker, Kubernetes). Hands-on experience with Google Cloud Platform More ❯
and frameworks like Spring Boot , Quarkus , or Micronaut Deep understanding of RESTful architecture and HTTP Strong knowledge of asynchronous programming techniques in Java Proficient in SQL , with experience in RDBMS like Postgres or Oracle Experience working with Docker and docker-compose Familiarity with AWS , particularly services like S3, Aurora, and ElasticCache Proficient with CI/CD tools such as GitLab More ❯
Strong understanding of HTTP and REST as an architectural style to build APIs. Fluent with asynchronous programming techniques and frameworks (in Java). Fluent in SQL and experience with RDBMS like Postgres and Oracle. Experience with Docker and docker-compose. Exposure to AWS specifically S3 , Aurora, ElasticCache Exposure to modern CI/CD platforms like Gitlab (or similar GitHub Actions More ❯
Experience in automating builds (CI/CD), feature flags, and automated testing. Bonus Skills: Experience with message-driven systems (e.g., Google Pub/Sub). Proficiency in relational databases (RDBMS), particularly with Postgres. Familiarity with NoSQL databases (document store/key-value store) is a plus. Experience with containerization technologies (Docker, Kubernetes). Hands-on experience with Google Cloud Platform More ❯
async collaboration is prioritized Bachelor's Degree in Programming, Computer Science, or Engineering-related field. Preferred Qualifications Proven expertise and experience with database technologies including NoSQL databases like MongoDB, RDBMS such as Postgres and MySQL Exposure to Docker, Kubernetes, AWS, Helm, Terraform, Vault, Grafana, ELK Stack, New Relic Relevant experience in the maintenance of data APIs and data lake architectures More ❯
where async collaboration is prioritized Bachelors Degree in Programming, Computer Science, or Engineering-related field. Preferred Qualifications Proven expertise and experience with database technologies including NoSQL databases like MongoDB, RDBMS such as Postgres and MySQL Exposure to Docker, Kubernetes, AWS, Helm, Terraform, Vault, Grafana, ELK Stack, New Relic Relevant experience in the maintenance of data APIs and data lake architectures More ❯
following: Python, SQL, Java Commercial experience in client-facing projects is a plus, especially within multi-disciplinary teams Deep knowledge of database technologies: Distributed systems (e.g., Spark, Hadoop, EMR) RDBMS (e.g., SQL Server, Oracle, PostgreSQL, MySQL) NoSQL (e.g., MongoDB, Cassandra, DynamoDB, Neo4j) Solid understanding of software engineering best practices - code reviews, testing frameworks, CI/CD, and code maintainability Experience More ❯
teams and departments to drive holistic outcomes A proactive, innovative mindset with the ability to drive continuous improvement Familiarity with some of our tech stack: PostgreSQL, or a similar RDBMS, particularly in Amazon RDS at scale Docker and Kubernetes, we use Amazon EKS in production Python Datadog, or a similar logging/monitoring tool Messaging queues, event-driven async processing More ❯
teams and departments to drive holistic outcomes A proactive, innovative mindset with the ability to drive continuous improvement Familiarity with some of our tech stack: PostgreSQL, or a similar RDBMS, particularly in Amazon RDS at scale Docker and Kubernetes, we use Amazon EKS in production Python Datadog, or a similar logging/monitoring tool Messaging queues, event-driven async processing More ❯
with business priorities. Support the launch of new products and streamline maintenance of existing products. Technical Skills & Knowledge: Proven experience in technical architecture, including UIs, microservices, data lakes, APIs, RDBMS, and NoSQL databases. Strong understanding of Agile and SAFe methodologies. Experience designing solutions in distributed, resilient environments and integrating enterprise applications. Cloud architecture expertise (AWS preferred). Familiarity with information More ❯
with business priorities. Support the launch of new products and streamline maintenance of existing products. Technical Skills & Knowledge: Proven experience in technical architecture, including UIs, microservices, data lakes, APIs, RDBMS, and NoSQL databases. Strong understanding of Agile and SAFe methodologies. Experience designing solutions in distributed, resilient environments and integrating enterprise applications. Cloud architecture expertise (AWS preferred). Familiarity with information More ❯
North West London, London, United Kingdom Hybrid / WFH Options
Anson Mccade
You'll Be Doing: Leading cross-functional teams of architects, engineers, and analysts to design and deliver scalable, modern data solutions Architecting robust cloud-native data platforms using modern RDBMS, ETL/ELT, and streaming tech Engaging stakeholders and owning the technical vision across full project lifecycles Shaping product-led data strategies using Data Mesh, Data Fabric, and event-driven More ❯
experienceimplementing maintainable, high-quality enterprise/B2B software in an agile, fast-moving setting High proficiencyin Python delivering scalable, high-quality production code High proficiency using Postgres (or similar RDBMS) Working experience with AWS (or equivalent) and Docker MSc in Computer Science, Math, or other related fields Personal Traits We'd Love to See: Passionate about solving high-impactproblemsthat deliver More ❯
nice to have. Understanding of SaaS, PaaS, IaaS industry with hands-on experience with public cloud offerings (e.g., AWS, GCP, Azure). Fluency in any one database technology (e.g. RDBMS like Oracle or Postgres and/or NoSQL like DynamoDB or Cassandra). Experience crafting and implementing well-tested, highly scalable and performant micro-services and/or other distributed More ❯
Aptitude: Sufficient technical understanding to liaise effectively with engineering teams. Desired Attributes: Good knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud) Working knowledge of Web application APIs, Database (RDBMS, NoSQL), Webservices (REST, SOAP), Microservices, Middleware components like IBM MQ, RabbitMQ, Streaming services like Kafka, Containers (Kubernetes, OpenShift) Positive attitude and outlook, determined, enthusiastic, and resilient. Quick learner within a More ❯
Aptitude: Sufficient technical understanding to liaise effectively with engineering teams. Desired Attributes: Good knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud) Working knowledge of Web application APIs, Database (RDBMS, NoSQL), Webservices (REST, SOAP), Microservices, Middleware components like IBM MQ, RabbitMQ, Streaming services like Kafka, Containers (Kubernetes, OpenShift) Positive attitude and outlook, determined, enthusiastic, and resilient. Quick learner within a More ❯
and end users Championing quality assurance and best practices Practical software development experience in the full technical stack, e.g. React, Typescript, Javascript, Java, C#, messaging, Elastic, MongoDB and traditional RDBMS such as PostgreSQL. Following an agile development methodology Driving innovation within a team of engineers to find new solutions to difficult problems It would be great if you also had More ❯
and end users Championing quality assurance and best practices Practical software development experience in the full technical stack, e.g. React, Typescript, Javascript, Java, C#, messaging, Elastic, MongoDB and traditional RDBMS such as PostgreSQL. Following an agile development methodology Driving innovation within a team of engineers to find new solutions to difficult problems It would be great if you also had More ❯
hands-on experience in Java, RESTful Services, Spring boot framework, Angular Strong in Core Java and Data Structures Experience with No-SQL databases (preferred MongoDB) and basic understanding of RDBMS modeling fundamentals Hands-on experience designing RESTful services Familiar with test driven development and code coverage tools Experience with Angular or React is a plus. Ability to lead projects independently. More ❯
models. Product configuration expertise (applicable to Power, Gas, Oil, Coal, Emissions, etc.) in exchange products (futures and options), OTC products like swaps, swaptions, or forwards. Strong understanding of one RDBMS (Oracle/SQL Server/Sybase). Good understanding of the full software development life cycle Additional Information As part of our dedication to an inclusive and diverse workforce, Publicis More ❯
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 RelationalDatabaseManagementSystem 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 collaboration skills, working More ❯
technical expertise in some of the below technologies Data integration – ETL tools like IBM DataStage, Talend and Informatica. Ingestion mechanism like Flume & Kafka. Data modelling – Dimensional & transactional modelling using RDBMS, NO-SQL and Big Data technologies. Data visualization – Tools like Tableau Big data – Hadoop eco-system, Distributions like Cloudera/Hortonworks, Pig and HIVE Data processing frameworks – Spark & Spark streaming More ❯
technical expertise in some of the below technologies Data integration – ETL tools like IBM DataStage, Talend and Informatica. Ingestion mechanism like Flume & Kafka. Data modelling – Dimensional & transactional modelling using RDBMS, NO-SQL and Big Data technologies. Data visualization – Tools like Tableau Big data – Hadoop eco-system, Distributions like Cloudera/Hortonworks, Pig and HIVE Data processing frameworks – Spark & Spark streaming More ❯
Must have: Java Server Side development with concurrent programming Spring Boot (Core Spring) and JUnit Understanding of message-based architectures (MQ/Kafka) Proficiency in SQL and experience with RDBMS (Sybase/DB2 preferred) Benefits: View to Extension Salary: Up to £450 Per Day More ❯
