15 of 15 Kafka Jobs in Lancashire

DevOps tools Understanding of secure coding and software development best practices Desirable experience: Microservices, containers (Docker/Kubernetes) Front-end frameworks such as Vue.js Messaging systems (e.g. Service Bus, Kafka) NoSQL databases, REST APIs, CI/CD pipelines Benefits: 25 days holiday plus bank holidays and additional Christmas leave Flexible 37.5-hour week Hybrid working: 2 days/week More ❯

Strong analytical and problem-solving skills Strong teamwork, interpersonal and collaboration skills with colleagues and clients Desirable: Experience with Cloud ETL tools such as Databricks/Snowflake, Spark and Kafka Experience using source control tools such as GitHub or Azure DevOps Experience with Azure DevOps for CI/CD pipeline development and data operations (DataOps) Experience with Python or More ❯

issues Strong analytical and problem-solving skills Strong teamwork, interpersonal and collaboration skills with colleagues and clients Experience with Cloud ETL tools such as Databricks/Snowflake, Spark and Kafka Experience using source control tools such as GitHub or Azure DevOps Experience with Azure DevOps for CI/CD pipeline development and data operations (DataOps) Experience with Python or More ❯

DevOps tools Understanding of secure coding and software development best practices Desirable experience: Microservices, containers (Docker/Kubernetes) Front-end frameworks such as Vue.js Messaging systems (e.g. Service Bus, Kafka) NoSQL databases, REST APIs, CI/CD pipelines Benefits: 25 days holiday plus bank holidays and additional Christmas leave Flexible 37.5-hour week Hybrid working: 2 days/week More ❯

scalable and resilient systems. Core Backed Technologies: Highly experienced in developing Java code, along with deep expertise within Spring boot OR Quarkus/GraalVM, Hands on with Messaging Systems (Kafka, RabbitMQ, Google Pub/Sub), SQL Databases CI/CD Pipelines and Agile development: Knowledge of continuous integration and delivery tools/practices, Scrum/Kanban methods, Automated testing More ❯

transitioning from Legacy systems. Technologies include: Backend: .NET 8, Python, JavaScript Frontend: React Cloud: AWS - including EKS, ECS, Lambda, DynamoDB, Aurora, DocumentDB Infrastructure: Docker, Linux, Terraform Eventing/Messaging: Kafka, SNS/SQS, EventBridge CI/CD: GitHub Actions, GitHub Enterprise About You Strong hands-on engineering background with experience leading agile teams In-depth experience of modern Back More ❯

Senior Developer experience in a scaled Agile environment, with delivery partners and 3rd party applications. Strong technical expertise in Java, Sprint Boot and Microservices. Proficient in Spring Boot; Apache Kafka experience is desirable Expertise in microservices, database programming, event streaming, and queueing technologies in a cloud-based environment The ability to tell a technical story/concepts to non More ❯

and scalable API design. Knowledge of frameworks and libraries like Vue.js, React, JSON, XML, MVC, and jQuery will be beneficial. Exposure to Docker, Kubernetes, Helm Charts, messaging systems like Kafka or RabbitMQ. More ❯

leading a team and implementing continuous improvements Extensive experience with C#, .Net, SQL Server and MongoDB (or other NoSQL databases) Experience working with message brokers i.e. RabbitMQ, ServiceBus or Kafka Good understanding of pipelines such as Jenkins Good understanding of database operations and clustering Prior experience with the likes of WinForms, WCP or WPF Understanding of either AWS, Azure More ❯

Social network you want to login/join with: Lead Data Scientist (Equity Only) - 1%, Preston, Lancashire Client: Location: Preston, Lancashire, United Kingdom Job Category: Other EU work permit required: Yes Job Views: 4 Posted: 16.06.2025 Expiry Date: 31.07.2025 Job More ❯

you’ll bring Solid commercial experience with Node.js and Typescript on large scale microservices architectures Extensive work on extremely high-traffic, distributed systems Good knowledge of Kubernetes and either Kafka or RabbitMQ Deep understanding of AWS and related tools Strong Computer Science fundamentals Happy working fully remote in a B2B capacity -- We make an active choice to be inclusive More ❯

Strong background in data architecture , including data modeling, warehousing, real-time and batch processing, and big data frameworks. Proficiency with modern data tools and technologies such as Spark, Databricks, Kafka, or Snowflake (bonus). Knowledge of cloud security, networking, and cost optimization as it relates to data platforms. Experience in total cost of ownership estimation and managing its impact 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 ❯

viewpoint, understanding where your team and products fit into the bigger picture. Essential: . Modern software engineering for digital products (ideally Java, microservice architectures, Hexagonal software architecture, Mongo and Kafka) . Significant demonstrable experience of leading engineering teams providing technical leadership and guidance, and coaching and mentoring to support team member development opportunities . Significant demonstrable experience of collaboration More ❯

Do Maintain and optimise Ubuntu-based Linux systems running in a private cloud environment. Monitor, troubleshoot, and improve performance across systems and services. Manage production databases (PostgreSQL, Cassandra, Redis, Kafka) with a focus on reliability and scalability. Work on network infrastructure — including WireGuard tunnels, BGP configuration, and general network troubleshooting. Contribute to internal tooling (AMIs, automation, monitoring) and help More ❯