london (city of london), south east england, united kingdom
Prism Digital
Modular provisioning, testing, and deployment patterns Kubernetes: Workload orchestration and container management CI/CD: GitHub Actions or Azure DevOps pipelines with end-to-end automation Event-Driven Architecture: Kafka or similar messaging systems Monitoring & Observability: Azure Monitor, Open Telemetry, Prometheus etc. Secure-by-Design Practices: Policy as Code, automated validation, compliance controls Nice to Haves Experience in regulated More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Xact Placements Limited
record of building performant, maintainable, and testable systems Solid background in microservices architecture Proficiency with Postgres & MongoDB (relational + non-relational) Experience with event-driven architectures and asynchronous workflows (Kafka, Airflow, etc.) Solid coding practices (clean, testable, automated) The mindset of a builder: thrives in fast-paced startup environments, takes ownership, solves complex challenges Bonus points if you’ve More ❯
City of London, London, England, United Kingdom Hybrid / WFH Options
Client Server Ltd
C#, C++ or Python You have advanced SQL database knowledge (they use Oracle), experience with data transformation technologies such as Databricks or Snowflake and data streaming technologies such as Kafka You have a good understanding of financial markets and the trade lifecycle You're keen to take ownership and enjoy working proactively with minimal supervision You have excellent collaboration More ❯
with TypeScript, NestJS, Sequelize ORM, GraphQL, REST APIs Frontend expertise with ReactJS, NextJS, Typescript, Chakra UI Experience with MySQL and NoSQL databases Familiarity with messaging/event-driven systems (Kafka) Ability to work closely with designers (Figma) and translate complex business logic into intuitive UI/UX Problem-solver with strong debugging, troubleshooting, and optimisation skills Thrives in high More ❯
risk management IT. Strong programming skills in Python, and at least one other modern language. Proficiency in cloud services and build tools, including but not limited to EKS, Airflow, Kafka, Gitlab, ArgoCD or equivalent. Familiarity with financial products, their evaluation models, and Greeks. Experience with risk management data sets, including market risk (Greeks, P&L, VaR, stress tests, scenarios More ❯
london, south east england, united kingdom Hybrid / WFH Options
Compare the Market
or financial services Exposure to Databricks, container orchestration (e.g. Kubernetes), or workflow engines (e.g. Argo, Airflow) Familiarity with real-time model deployment, streaming data, or event-driven systems (e.g. Kafka, Flink) Interest in MLOps, model governance, and responsible AI practices Understanding of basic model evaluation, drift detection, and monitoring techniques Why Join Us? You'll work on meaningful problems More ❯
contexts. Strong .NET software engineering background. Deep expertise in Kubernetes (on-prem and cloud) and Terraform . Experience with real-time, event-driven systems and message brokers (e.g., RabbitMQ, Kafka). Strong grasp of telemetry, observability, and performance monitoring in distributed systems. Track record of technical leadership and setting engineering standards. Nice to Have: Experience with OpenTelemetry , Prometheus, Grafana More ❯
London, England, United Kingdom Hybrid / WFH Options
Betsson Group
contexts. Strong .NET software engineering background. Deep expertise in Kubernetes (on-prem and cloud) and Terraform . Experience with real-time, event-driven systems and message brokers (e.g., RabbitMQ, Kafka). Strong grasp of telemetry, observability, and performance monitoring in distributed systems. Track record of technical leadership and setting engineering standards. Nice to Have Experience with OpenTelemetry , Prometheus, Grafana More ❯
london, south east england, united kingdom Hybrid / WFH Options
Betsson Group
contexts. Strong .NET software engineering background. Deep expertise in Kubernetes (on-prem and cloud) and Terraform . Experience with real-time, event-driven systems and message brokers (e.g., RabbitMQ, Kafka). Strong grasp of telemetry, observability, and performance monitoring in distributed systems. Track record of technical leadership and setting engineering standards. Nice to Have Experience with OpenTelemetry , Prometheus, Grafana More ❯
we would love for you to have experience in some of the following areas: Proficiency in modern data engineering practices and technologies, including Prefect/Airflow, Python, dbt, Kubernetes, Kafka or similar Experience with Infrastructure as Code (IaC) and cloud-based services e.g deploying infrastructure on AWS using Terraform A deep understanding of data pipelines, orchestration, and data modelling More ❯
core infrastructure for our real-time data streaming platform, ensuring high availability, reliability, and low latency. Implement and optimize data pipelines and stream processing applications using technologies like ApacheKafka, Apache Flink, and Spark Streaming. Collaborate with software and data engineering teams to define event schemas, ensure data quality, and support the integration of new services into the streaming … every single technology listed. We encourage you to apply if you have a strong foundation in a majority of these areas. Streaming Platforms & Architecture: Strong production experience with ApacheKafka and its ecosystem (e.g., Confluent Cloud, Kafka Streams, Kafka Connect). Solid understanding of distributed systems and event-driven architectures and how they drive modern microservices and More ❯
pipelines. Define non-functional requirements and performance acceptance criteria. Analyze performance test results and production metrics to identify trends, risks, and improvements. Work with modern technologies including Docker, Kubernetes, Kafka, and NoSQL databases. Mentor junior testers and drive continuous improvement in performance testing practices. What we're looking for: 5+ years' experience in non-functional/performance testing for More ❯
pipelines. Define non-functional requirements and performance acceptance criteria. Analyze performance test results and production metrics to identify trends, risks, and improvements. Work with modern technologies including Docker, Kubernetes, Kafka, and NoSQL databases. Mentor junior testers and drive continuous improvement in performance testing practices. What we're looking for: 5+ years' experience in non-functional/performance testing for More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Harnham - Data & Analytics Recruitment
Engineer or Software Engineer with a focus on data architecture Strong proficiency in Python and SQL, with the ability to manipulate and analyse large datasets Hands-on experience with Kafka for stream processing and AWS (particularly Redshift and S3) Skilled in implementing testing and validation strategies to ensure data quality Familiar with version control systems such as Git and More ❯
architectures and federated queries Extensive experience with databases (SQL & NoSQL - Oracle, PostgreSQL, MongoDB), data warehousing, Data Lakes and ETL/ELT tools Familiarity with big data technologies (Hadoop, Spark, Kafka), cloud platforms (AWS, Azure, GCP), and API integrations Desirable: Data certifications (TOGAF, DAMA), government/foundational data experience, cloud-native platforms knowledge, AI/ML data requirements understanding, data More ❯
architectures and federated queries Extensive experience with databases (SQL & NoSQL - Oracle, PostgreSQL, MongoDB), data warehousing, Data Lakes and ETL/ELT tools Familiarity with big data technologies (Hadoop, Spark, Kafka), cloud platforms (AWS, Azure, GCP), and API integrations Desirable: Data certifications (TOGAF, DAMA), government/foundational data experience, cloud-native platforms knowledge, AI/ML data requirements understanding, data More ❯
architectures and federated queries Extensive experience with databases (SQL & NoSQL - Oracle, PostgreSQL, MongoDB), data warehousing, Data Lakes and ETL/ELT tools Familiarity with big data technologies (Hadoop, Spark, Kafka), cloud platforms (AWS, Azure, GCP), and API integrations Desirable: Data certifications (TOGAF, DAMA), government/foundational data experience, cloud-native platforms knowledge, AI/ML data requirements understanding, data More ❯
london (city of london), south east england, united kingdom
Computappoint
architectures and federated queries Extensive experience with databases (SQL & NoSQL - Oracle, PostgreSQL, MongoDB), data warehousing, Data Lakes and ETL/ELT tools Familiarity with big data technologies (Hadoop, Spark, Kafka), cloud platforms (AWS, Azure, GCP), and API integrations Desirable: Data certifications (TOGAF, DAMA), government/foundational data experience, cloud-native platforms knowledge, AI/ML data requirements understanding, data More ❯
knowledge of data modelling techniques (e.g., Kimball, Star Schema, Data Vault). Proficiency with cloud-native and DataOps solutions (Azure/AWS stack, event streaming with Azure Event Hubs, Kafka). Experience in Big Data solutions (Hadoop, Cassandra). Understanding of compliance frameworks (e.g., GDPR, ISO 22701 ) and industry methodologies (e.g., TOGAF, DAMA ). Skilled in architecture and design More ❯
knowledge of data modelling techniques (e.g., Kimball, Star Schema, Data Vault). Proficiency with cloud-native and DataOps solutions (Azure/AWS stack, event streaming with Azure Event Hubs, Kafka). Experience in Big Data solutions (Hadoop, Cassandra). Understanding of compliance frameworks (e.g., GDPR, ISO 22701 ) and industry methodologies (e.g., TOGAF, DAMA ). Skilled in architecture and design More ❯
knowledge of data modelling techniques (e.g., Kimball, Star Schema, Data Vault). Proficiency with cloud-native and DataOps solutions (Azure/AWS stack, event streaming with Azure Event Hubs, Kafka). Experience in Big Data solutions (Hadoop, Cassandra). Understanding of compliance frameworks (e.g., GDPR, ISO 22701 ) and industry methodologies (e.g., TOGAF, DAMA ). Skilled in architecture and design More ❯
london (city of london), south east england, united kingdom
Experis
knowledge of data modelling techniques (e.g., Kimball, Star Schema, Data Vault). Proficiency with cloud-native and DataOps solutions (Azure/AWS stack, event streaming with Azure Event Hubs, Kafka). Experience in Big Data solutions (Hadoop, Cassandra). Understanding of compliance frameworks (e.g., GDPR, ISO 22701 ) and industry methodologies (e.g., TOGAF, DAMA ). Skilled in architecture and design More ❯
