51 to 75 of 190 Kafka Jobs in Berkshire

applications Working on distributed systems and microservices Collaborating across tech and business teams Supporting cloud-based and DevOps-first deployments Tech you'll be using: C#/.NET Core Kafka/RabbitMQ (or similar messaging frameworks) SQL Server Azure or AWS CI/CD tools (Azure DevOps, TeamCity) Docker/Kubernetes (nice to have) What we’re looking for More ❯

production, with the freedom to use opensource technologies to make sending, trading and accessing assets in real-time achievable. Requirements: 6+ years in any JVM language (ideally Core Java) Kafka Streaming Kubernetes Cloud (AWS) TDD, Pair Programming, Agile Engineering STEM degree Worked in a Start Up/Scale Up Environment Strong Architectural Influence Please note, no sponsorship provided at More ❯

Finance, etc. Proficiency in Python, SQL , and one or more: R, Java, Scala Experience with relational/NoSQL databases (e.g., PostgreSQL, MongoDB) Familiarity with big data tools (Hadoop, Spark, Kafka), cloud platforms (Azure, AWS, GCP), and workflow tools (Airflow, Luigi) Bonus: experience with BI tools , API integrations , and graph databases Why Join Us? Work with large-scale, high-impact More ❯

8+ (Laravel/Symfony) Proficiency in JavaScript/TypeScript, NestJS and ReactJS Experience building platforms using event-based architecture and CQRS Familiarity with AWS Services such as Aurora, MSK Kafka, ECS, and EMR Experience writing automated unit and integration tests Excellent practical experience with Docker Strong understanding of SOLID principles and design patterns Hands-on experience with one or More ❯

instincts and attention to detail Strong communicator who works well across technical teams Bonus Points If You Have: Familiarity with Docker/Kubernetes Experience with other messaging platforms like Kafka, RabbitMQ, or MQ Exposure to DevOps pipelines and CI/CD tools Experience deploying in AWS, Azure, or GCP More ❯

experience with Generative AI integration Programming experience in Go (Golang) , Java , Kotlin , JavaScript/Node.js , or Python Strong hands-on experience with Kubernetes (K8s) and OpenShift Experience with MongoDB , Kafka , Prometheus , OpenTelemetry , Grafana Familiarity with tools like Helm , Kustomize , Terraform , and Vault Proven experience with hybrid cloud environments (on-prem + public cloud) Ability to explain complex ideas clearly More ❯

database technologies (incl. various Vector Stores and more traditional technologies e.g. MySQL, PostgreSQL, NoSQL databases). − Hands-on experience with data tools and frameworks such as Hadoop, Spark, or Kafka - advantage − Familiarity with data warehousing solutions and cloud data platforms. − Background in building applications wrapped around AI/LLM/mathematical models − Ability to scale up algorithms to production More ❯

with Infrastructure as Code (IaC) using Ansible and Terraform Scripting abilities in Shell and Python English proficiency at an intermediate level (B2), capable of technical communication (Optional) Experience with Kafka, ClickHouse, RabbitMQ, Cloud services is a plus .Why it is a fantastic opportunity Our business is growing at an exponential scale Work in a well-funded startup environment with More ❯

Social network you want to login/join with: Machine Learning Engineer with Data Engineering expertise, slough col-narrow-left Client: Tadaweb Location: slough, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 4 More ❯

Social network you want to login/join with: Eames Consulting is working with a Financial services company to secure the services of a .Net Developer (Team Lead) on a permanent basis. We are looking for a talented and experienced More ❯

Key Responsibilities Design and implement real-time data pipelines using tools like Apache Kafka, Apache Flink, or Spark Streaming. Develop and maintain event schemas using Avro, Protobuf, or JSON Schema. Collaborate with backend teams to integrate event-driven microservices. Ensure data quality, lineage, and observability across streaming systems. Optimize performance and scalability of streaming applications. Implement CI/CD … flows and streaming jobs. Required Skills & Qualifications 3+ years of experience in data engineering or backend development. Strong programming skills in Python, Java, or Scala. Hands-on experience with Kafka, Kinesis, or similar messaging systems. Familiarity with stream processing frameworks like Flink, Kafka Streams, or Spark Structured Streaming. Solid understanding of event-driven design patterns (e.g., event sourcing More ❯

of Security aspects, OWASP guidelines. experience in Performance Analysis and applications tuning understanding of Kubernetes Identity and access management such as Forgerock different integration technologies, data streaming technologies and Kafka understanding of Kafka architecture enterprise level Elastic Solution knowledge More ❯

of Security aspects, OWASP guidelines. experience in Performance Analysis and applications tuning understanding of Kubernetes Identity and access management such as Forgerock different integration technologies, data streaming technologies and Kafka understanding of Kafka architecture enterprise level Elastic Solution knowledge More ❯

Senior Engineering Manager – Data Platform Tech Stack Knowledge - Databricks, Kafka, AWS 1 Day a Week Onsite - London We are seeking a customer-centric Senior Engineering Manager – Data Platform to lead the teams responsible for building and evolving our core data infrastructure. In this role, you will oversee the development of our foundational data platform — encompassing experimentation frameworks, event ingestion … scale, ideally in consumer-facing or marketplace environments. Strong knowledge of distributed systems and modern data ecosystems, with hands-on experience using technologies such as Databricks, Apache Spark, Apache Kafka, and DBT. Proven success in building and managing data platforms supporting both batch and real-time processing architectures. Deep understanding of data warehousing, ETL/ELT pipelines, and analytics More ❯

the team, contributing to technical decisions, stand-ups, and everything in between. Reporting into an Engineering Manager, you'll be hands-on with technologies like AWS, Kubernetes, Docker, and Kafka, and will collaborate closely with product and infrastructure teams to ship well-architected, scalable microservices. This is a team that values clean systems, clear thinking, and code that lasts. … design and architecture Hands-on experience working on complex, data-intensive applications A product-focused mindset and familiarity with working in technology-driven organisations or start-ups Experience with Kafka, Cassandra, gRPC, and microservices architecture will also be beneficial, as well as experience contributing to open-source projects If you're a Senior Go Developer looking for a fast More ❯

have a keen interest in Cyber Security or Big Data. Key Responsibilities: • Modernise Data Infrastructure: Develop and enhance data collection, processing, and storage systems using advanced distributed technologies, including Kafka, Kubernetes, Zookeeper, and HDFS. • Automate Release Processes: Improve reproducibility, testability, and quality of our releases by automating release processes. Knowledge of Ansible and Azure DevOps is highly beneficial. • Collaborate … handling thousands of data points per second. Required qualifications to be successful in this role Technical Background: o Knowledge of distributed data systems, with experience in tools such as Kafka, Kubernetes, Zookeeper, and HDFS. o Proficiency in Linux, specifically Red Hat Enterprise Linux (RHEL). o Familiarity with SIEM platforms (especially ArcSight) or legacy Java-based applications is a More ❯

experience and ability to collaborate across teams Ideally from a commodities trading or financial services background Nice to Have: Python programming AWS (S3, ECS, AppSync) GraphQL/REST APIs Kafka, Postgres, and familiarity with microservices architecture #J-18808-Ljbffr More ❯

have a keen interest in Cyber Security or Big Data. Key Responsibilities: Modernise Data Infrastructure: Develop and enhance data collection, processing, and storage systems using advanced distributed technologies, including Kafka, Kubernetes, Zookeeper, and HDFS. Automate Release Processes: Improve reproducibility, testability, and quality of our releases by automating release processes. Knowledge of Ansible and Azure DevOps is highly beneficial. Collaborate … data, handling thousands of data points per second. Required qualifications to be successful in this role Technical Background: Knowledge of distributed data systems, with experience in tools such as Kafka, Kubernetes, Zookeeper, and HDFS. Proficiency in Linux, specifically Red Hat Enterprise Linux (RHEL). Familiarity with SIEM platforms (especially ArcSight) or legacy Java-based applications is a plus. DevOps More ❯

team members to refine requirements. Design high-performance data ingestion and delivery systems. Technical Skills: 7+ years with Python, Rust is a bonus Experience with event streaming platforms like Kafka . Familiarity with DevOps , CI/CD , and infrastructure-as-code . API design experience; front-end experience with React is a plus. Cloud experience (especially AWS ) is highly More ❯

development practices and emerging technologies Essential Skills Technical Expertise: 2 to 3 years Java development - enterprise-level experience required C++ knowledge or strong motivation to master high-performance languages Kafka/Confluent - real-time data streaming experience Agile methodologies (Scrum, XP, Kanban) - collaborative delivery experience Testing mastery : BDD, TDD, unit, integration, automation testing Git version control and modern development More ❯

a big firm then don’t worry. Additional exposure to the following is desired : - Tech Stack you will learn Hadoop and Flink RUST, Javascript, React, Redux, Flow Linux, Jenkins Kafka, Avro, Kubernetes, Puppet Involvement in the Java community My client is based London. Home work is encouraged but you will need to be able to come to the City More ❯

promote continuous improvement across the team 🧰 What You’ll Need Strong experience leading data engineering teams in high-growth environments Deep expertise with real-time data processing tools (e.g. Kafka, Flink, Spark Streaming) Solid hands-on knowledge of cloud platforms (AWS, GCP or Azure) Strong proficiency in languages like Python, Java or Scala Familiarity with orchestration tools such as More ❯

a production context. You are happy to learn new programming languages and frameworks as necessary. Experience with large volumes of data and high throughput, low latency solutions built on Kafka and Kubernetes You have experience with, and are interested in, contemporary approaches to service design, including the use of containers and container orchestration technologies, streaming data platforms, APIs, and More ❯

web UI frameworks (Vue.js, Angular, Blazor) is advantageous. Experience with Azure DevOps, CI/CD pipelines, and Infrastructure as Code (Terraform) is a plus. Exposure to messaging patterns (RabbitMQ, Kafka) and authentication methods like OAuth2 is beneficial. A strong problem-solver who can work independently while effectively collaborating with cross-functional teams. Prior experience in a trading, financial services More ❯

and resolve data pipeline issues proactively. Partner with Data Architects, Analysts, and Business Teams to deliver end-to-end solutions. Stay ahead of emerging data technologies (e.g., streaming with Kafka/Event Hubs, Knowledge Graphs). Advocate for best practices in data engineering across the organization. Skills profile Relevant experience & education Hands-on experience with Azure Databricks, Delta Lake More ❯