14 of 14 Remote/Hybrid Contract Kafka Jobs in England

Incident management with tools such as PagerDuty A deep understanding of enterprise integration patterns and event-driven architecture. Experience working with messaging systems (RabbitMQ, Kafka, etc.). Good to Have Genuine advocate for modern high-quality software engineering practices. Customer-focused, driven to deliver experiences users will love ...

J2EE • Experience in developing and deploying microservices architectures using Spring Boot, Spring Batch, Spring Data, or similar frameworks • Knowledge of JIRA, Junit, and Apache Kafka are preferred • In-depth knowledge of REST API principles, HTTP protocol • Solid grasp of Git, CI/CD, Agile principles • Experience with Ethereum, Hyperledger ...

skills, with an ability to work both independently and collaboratively within multi-disciplinary teams Desirable Skills for the AWS Data Engineer: Experience with Databricks , Kafka , or Kinesis for real-time data streaming Knowledge of containerisation (Docker, ECS) and modern orchestration tools such as Airflow Familiarity with machine learning model ...

Security and quality-first mindset Bonus Points: Azure Databricks, Data Platforms experience Enterprise system integration (Salesforce, SAP, Workday, ERP) Containerization (Docker, Kubernetes) Streaming technologies (Kafka, JMS) Why This Role? Challenging, high-impact work with a forward-thinking UK company. Shape the technical strategy, build cutting-edge solutions ...

Senior Software Engineer Role Details Role: Senior Software Engineer Job Type: Contracting Location: Manchester (Hybrid, with a minimum of 2 days in the office) Special Working Conditions (Travel/On-call, etc.): Associate has to ...

computing. Familiarity with CI/CD, version control, and DevOps practices. Nice-to-Have Experience with streaming technologies (e.g., Spark Structured Streaming, Event Hub, Kafka). Knowledge of MLflow, Unity Catalog, or advanced Databricks features. Exposure to Terraform or other IaC tools. Experience working in Agile/Scrum environments. ...

business-critical pre-trade platform. What you'll need to succeed : Extensive Java development experience within investment banking or commodities - must have. Extensive Kafka experience. Working knowledge of Python frameworks, e.g. Django, Flask, Pandas etc. Strong experience with data streaming standards and design patterns. Good knowledge of Microsoft ...

security including OAuth2, JWT, TLS/mTLS and AAA policies Deliver XSLT and GatewayScript transformations and schema validation Integrate with backend platforms including MQ, Kafka and relational databases Support CI/CD automation using SOMA/REST APIs, Jenkins or Ansible Ensure high availability, performance tuning and regulatory compliance ...

products, and IT systems , ideally with exposure to i dentity and access management. Experience managing end-to-end integration pipelines across network estates, including Kafka -based collection platforms and Elastic technologies. Ability to oversee integration of multiple applications, coordinating several teams and hand-off points. Skilled in project planning ...

boot-based application or non JVM based application Experience in contract testing and component testing such as API, message based asynchronous testing such as Kafka or similar technology Experience in non-relational database I.e. mongo db or similar Strong technical automation skills with the ability to write well-structured …/CD pipeline Engineering Tools and Technologies Cloud: AWS (primary) Test Frameworks: Serenity BDD (Selenium + RestAssured), Playwright Other tools: Spring Cloud Contract, Pactflow, Kafka, Mongodb, Browserstack DevOps: Gitlab, GitHub, Jenkins, Docker Performance testing - Gatling, K6 Observability and Monitoring - Splunk, Grafana, Prometheus. Job role/responsibilities: Set direction ...

implement data-intensive applications across the full engineering lifecycle. You'll architect and deliver microservices-based systems using Go (Golang), AWS, Kubernetes, Docker, and Kafka, working closely with cross-functional teams to build scalable, reliable, and resilient platforms. You'll also play a key role in optimising system performance … Background in complex, large-scale, data-driven applications Product-focused approach, ideally within fast-paced tech organisations (start-ups or scale-ups) Knowledge of Kafka, Cassandra, gRPC, and microservices is a strong advantage Open-source contributions are beneficial If you're a Senior Go Developer looking for a challenging ...

development of a business-critical pre-trade platform. What you'll need to succeed : Extensive Java development experience within investment banking - Must have. Extensive Kafka experience. Strong experience with data streaming standards and design patterns. Strong experience working in an agile environment. What you'll get in return ...

work on meaningful, production-grade systems. Key Responsibilities Design, build, and maintain robust backend services using Java Develop and integrate event-driven systems using Kafka Build and consume REST APIs to support internal and external services Collaborate closely with product owners, architects, and other engineers Write clean, maintainable … scalability, and reliability Contribute to code reviews and best-practice engineering standards Must-Have Skills Strong commercial experience with Java Hands-on experience with Kafka in production environments Experience building and consuming RESTful APIs Solid understanding of backend engineering principles Nice-to-Have Skills Spring ecosystem (Spring Framework, Spring ...

preferred), including logical and physical data modelling, referential integrity, and denormalization decisions. Build integration pipelines from Db2 to target pipelines (Aurora Postgress preferred) via Kafka/S3, ensuring idempotency, ordering, and reliable delivery semantics. Your Profile Essential Skills/Knowledge/Experience Change Data Capture: CDC design and operations … catalog, z/OS fundamentals, batch windows, performance considerations. Relational modelling: Data modelling; normalization, indexing, partitioning; OLTP vs. analytics trade-offs. Integration patterns: Kafka (hands-on), CDC-to-target pipelines, UPSERT/MERGE logic; Python/SQL; strong troubleshooting. Data quality mindset: Write validation tests before migration; golden-source ...