15 of 15 Kafka Jobs in Cambridgeshire

delivery practices Familiarity with Agile collaboration tools such as Jira and Confluence Comfort working with distributed teams Effective team communication skills Knowledge of Data Engineering practices and technologies, especially Kafka, Spark, and AWS in Java or Python Experience with BDD, TDD, and CI/CD practices Knowledge of GoCD, Jenkins, and Github is preferred Strong SQL skills and familiarity … our purpose to life. We champion a culture of innovation and challenge. Our teams of over 300 tech experts use the latest tools and technologies including Docker, Kubernetes, AWS, Kafka, Java, Scala, Python, .NET Core, Node.js, and MongoDB. There's something for everyone. We offer opportunities for growth. You'll have the tools and autonomy to develop your career More ❯

database design. Familiarity with cloud platforms (e.g., AWS, Azure) and microservices architecture. What Will Set You Apart Knowledge of DevOps tools and practices (e.g., Docker, Kubernetes). Experience with Kafka for real-time data streaming. Financial Services industry experience is advantageous but not essential. Strong communication skills and the ability to convey complex technical concepts to non-technical stakeholders. More ❯

of people. What you will be involved in: Development and Maintenance of Real-Time Data Processing Applications by using frameworks and libraries such as: Spark Streaming, Spark Structured Streaming, Kafka Streams and Kafka Connect. Manipulation of Streaming Data: Ingestion, Transformation and Aggregation. Keeping up to date on Research and Development of new Technologies and Techniques to enhance our More ❯

.NET, .NET Core Strong API integration skills SQL Server and NoSQL databases Unit testing frameworks Messaging within a microservice architecture Agile development (Scrum experience preferred) Good to have skills: Kafka A modern front-end framework (e.g., Angular) Docker containerization Domain-driven design What the offer: Monthly Allowance for Lunch Private & Life Plan Insurance for you and your family Team More ❯

in setting up and managing monitoring, metrics, and alerting systems Experience operating production-grade services at scale Great to have: Experience with tools such as: Terraform, SaltStack, MongoDB, Elasticsearch, Kafka, Prometheus, Grafana or HashiCorp Vault Experience with securing applications, services, and data, including authentication, authorization, TLS, and encryption Exposure to Kubernetes (administering, deploying, or developing apps on K8s clusters More ❯

Bash), VCS (git), and Linux Proven experience in cross-functional teams and able to communicate effectively about technical and operational challenges. Preferred Qualifications: Proficiency with scalable data frameworks (Spark, Kafka, Flink) Proven Expertise with Infrastructure as Code and Cloud best practices Proficiency with monitoring and logging tools (e.g., Prometheus, Grafana) Working at Lila Sciences, you would have access to More ❯

in setting up and managing monitoring, metrics, and alerting systems Experience operating production-grade services at scale Great to have: Experience with tools such as: Terraform, SaltStack, MongoDB, Elasticsearch, Kafka, Prometheus, Grafana or HashiCorp Vault Experience with securing applications, services, and data, including authentication, authorization, TLS, and encryption Exposure to Kubernetes (administering, deploying, or developing apps on K8s clusters More ❯

3+ years of experience in cloud architecture and implementation - Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience - Experience in database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) - Experience in consulting, design and implementation of serverless distributed solutions - Experience in software development with object oriented language PREFERRED QUALIFICATIONS - AWS experience preferred, with proficiency in a wide More ❯

to professionals from various data eng. backgrounds — data pipelines, ML Eng, data warehousing, analytics engineering, big data, cloud etc.) Technical Exposure: Experience with tools like SQL, Python, Apache Spark, Kafka, Cloud platforms (AWS/GCP/Azure), and modern data stack technologies Formal or Informal Coaching Experience: Any previous coaching, mentoring, or training experience — formal or informal (no need More ❯

to professionals from various data eng. backgrounds — data pipelines, ML Eng, data warehousing, analytics engineering, big data, cloud etc.) Technical Exposure: Experience with tools like SQL, Python, Apache Spark, Kafka, Cloud platforms (AWS/GCP/Azure), and modern data stack technologies Formal or Informal Coaching Experience: Any previous coaching, mentoring, or training experience — formal or informal (no need More ❯

cloud-native, multi-tenant SaaS architecture, leveraging Infrastructure as Code (IaC) and designing for cost efficiency—experience in regulated domains Deep knowledge of distributed and event-driven systems, like Kafka, AWS SNS/SQS, and development in languages such as Java and Python. Strong understanding of data-centric architecture principles, including data governance, data Lakehouse, and AI-driven platforms. More ❯

cloud-native, multi-tenant SaaS architecture, leveraging Infrastructure as Code (IaC) and designing for cost efficiency—experience in regulated domains Deep knowledge of distributed and event-driven systems, like Kafka, AWS SNS/SQS, and development in languages such as Java and Python. Strong understanding of data-centric architecture principles, including data governance, data Lakehouse, and AI-driven platforms. More ❯

sets. API Management: Amazon API Gateway AWS App Sync Event Bus/Messaging: Amazon Eventbridge Amazon SQS (Simple Queue Service) Amazon SNS (Simple Notification Service) Amazon MQ Amazon MSK (Kafka based messaging) Low Code/No Code/Orchestration AWS Step Function Amplify Studio AWS Appflow AWS SWF (Simple Workflow) AWS Lambda Security AWS IAM Cloudtrail AWS Secrets Manager More ❯

support delivery throughout the project lifecycle. Automotive industry expertise is preferred. Experience working with public cloud-based enterprise data transform and load products and services (e.g., Mulesoft, SnapLogic, Boomi, Kafka) is preferred but not required. Proficiency in JIRA is also highly advantageous. Key responsibilities include: Lead Analysis Projects Drive and manage complex analysis initiatives, ensuring alignment with business objectives … of Agile methodologies and hands-on experience in Agile project delivery. Experience working with public cloud-based enterprise data transform and load products and services (e.g., Mulesoft, SnapLogic, Boomi, Kafka) preferred but not required. Excellent stakeholder management and communication skills Ability to work independently and collaboratively in a remote working environment In addition to a competitive salary, our benefits More ❯

support delivery throughout the project lifecycle. Automotive industry expertise is preferred. Experience working with public cloud-based enterprise data transform and load products and services (e.g., Mulesoft, SnapLogic, Boomi, Kafka) is preferred but not required. Proficiency in JIRA is also highly advantageous. Key responsibilities include: Lead Analysis Projects Drive and manage complex analysis initiatives, ensuring alignment with business objectives … of Agile methodologies and hands-on experience in Agile project delivery. Experience working with public cloud-based enterprise data transform and load products and services (e.g., Mulesoft, SnapLogic, Boomi, Kafka) preferred but not required. Excellent stakeholder management and communication skills Ability to work independently and collaboratively in a remote working environment In addition to a competitive salary, our benefits More ❯