24 of 24 Kafka Jobs in Hemel Hempstead

to translate business and research needs into engineering roadmaps. Collaborative mindset, capable of interfacing with multi-disciplinary teams. Nice to Have: Experience with Redis, Kafka, or similar real-time streaming/data platforms. Familiarity with financial APIs, FIX protocol, or trading exchange integrations. Education: Bachelor’s or Master’s More ❯

would be desirable: Postgres, Liquibase for database versioning Containerisation with Docker API design with Swagger/OpenAPI TDD (JUnit, Mockito), high code quality standards Kafka for event-driven architecture React, TypeScript Diversity & Inclusion: Here at Amber Labs, we are dedicated to fostering an inclusive and equitable workplace for all. More ❯

and troubleshooting Documentation Participating in team meetings and supporting colleagues Estimating work Writing and running SQL queries to inspect backend data Technology stack includes Kafka, Kubernetes, Docker, Clickhouse, Git, and DevOps. Experience & Qualities The ideal candidate is interested in both frontend and backend projects. Enthusiastic about learning new technologies More ❯

Bring Deep expertise in .NET/C#, AWS, microservices, and distributed systems. Strong leadership and mentoring skills. Proficiency with messaging systems (SNS/SQS, Kafka), CI/CD, and container orchestration (EKS/Kubernetes). Passion for craftsmanship and engineering excellence. Bonus if you have experience in healthcare/ More ❯

experience w ith AWS EKS and containerized environments (Docker, Kubernetes). Proficiency with Postgr eS QL, R edis, and message queue systems (e.g., RabbitMQ, Kafka). Deep understanding of API design and best practices (REST, gRPC). Experience with CI/CD pipelines, monitoring tools (e.g., Prometheus, Grafana), and More ❯

technical documentation. Familiarity with RESTful microservices & modern DevOps workflow. Skills: Azure (AKS, Functions), DDD, CQRS, Event Sourcing, Kubernetes/Docker, IaC (Terraform/Bicep), Kafka/RabbitMQ, ADR/C4 expertise, open-source or community contributions. Package Snapshot £50–55k salary + up to 10% bonus, 25 days holiday More ❯

MuleSoft or Power Automate Deep knowledge of SQL, REST, JSON, XML Experience in Agile, API security, and cloud integrations Nice to Have MuleSoft CloudHub Kafka or similar pub-sub systems Finance industry experience Generous leave + private medical Enhanced parental policies Pension & bonuses Want to help shape smarter systems More ❯

bring Solid experience with Node.js and Typescript in large-scale microservices architectures Extensive work on high-traffic, distributed systems Knowledge of Kubernetes and either Kafka or RabbitMQ Deep understanding of AWS and related tools Strong Computer Science fundamentals Comfortable working fully remote in a B2B capacity We are committed More ❯

/reporting engines or OLAP stores Deep Ruby/Rails & ActiveRecord expertise Exposure to ClickHouse/Redshift/BigQuery Event-driven or stream processing (Kafka, Kinesis) Familiarity with data-viz pipelines (we use Highcharts.js) AWS production experience (EC2, RDS, IAM, VPC) Contributions to OSS or tech-blog posts on More ❯

candidate will have extensive experience with the ELK stack and technical delivery, providing technical leadership to the build team. Experience with Splunk, Databases, MQ, Kafka, DevOps, CI/CD pipelines, and payments domain knowledge would be advantageous. #J-18808-Ljbffr More ❯

will work alongside experienced developers who will be happy to support your growth Key requirements: Experience with Node.js Familiarity with message brokers like SNS, Kafka, or similar. AWS. Interest working with data would be a bonus. If you’re a Software Engineer who has a real interest in software More ❯

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 More ❯

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 More ❯

experience in testing, SOLID principles, and design patterns. Familiarity with migrating endpoints from Python to Go is a plus. Systems architecture: Experience with Kubernetes, Kafka, Postgres, Redis, and internal monitoring tools like Grafana. Cross-functional collaboration with product, design, and engineering teams. Effective communication skills to work within the More ❯

with Cloud and big data technologies (e.g., Spark/Databricks/Delta Lake/BigQuery). Familiarity with eventing technologies (e.g., Event Hubs/Kafka) and file formats such as Parquet/Delta/Iceberg. Want to learn more? Get in touch for an informal chat. #J-18808-Ljbffr More ❯

management and communication skills. Ability to manage multiple priorities in a fast-paced, evolving landscape. Experience with relevant technologies (e.g., Azure Integration Services, MuleSoft, Kafka, etc.) is advantageous. A proactive mindset with a focus on continuous improvement and innovation. Competitive benefits package designed to support your wellbeing and lifestyle. More ❯

key part in that journey? We're looking for a Senior Backend Engineer, proficient in Typescript & Node, with experience in relational databases, messaging (PostgreSQL, Kafka/RabbitMQ) and cloud platform experience. Experience in the space and a web3 stack isn't essential, but a keen interest and best engineering More ❯

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 More ❯

is useful, but not essential: MOD Common Architectural Approach (CAA) ISR or ISTAR capability advantageous Integrated sensor architecture (ISA) advantageous MongoDB, VMWare technologies, APIs, KAFKA, and Systematic applications desirable ILS and Defence support models and DLODs advantageous Minorities, women, LGBTQ+ candidates, and individuals with disabilities are encouraged to apply. More ❯

. In-depth knowledge on key technologies like Big Query/Redshift/Synapse/Pub Sub/Kinesis/MQ/Event Hubs, Kafka Dataflow/Airflow/ADF etc. Excellent consulting experience and ability to design and build solutions, actively contribute to RfP response. Ability to be … Hyperscalers] GCP, AWS, Azure, Big data, Apache spark, beam on BigQuery/Redshift/Synapse, Pub Sub/Kinesis/MQ/Event Hubs, Kafka Dataflow/Airflow/ADF Designing Databricks based solutions for Azure/AWS, Jenkins, Terraform, StackDriver or any other DevOps tools #J-18808-Ljbffr More ❯

with infrastructure as code (Terraform/CDK/CloudFormation). ● Lead incident response, system reliability efforts, and infrastructure scalability initiatives. ● Manage messaging queues (e.g., Kafka, RabbitMQ) and optimize for low-latency event handling and throughput. ● Contribute to evolving our security posture, including secrets management, access controls, and audit logging. … understanding of CI/CD best practices and hands-on experience with tools like GitHub Actions, CircleCI, or similar. ● Experience with messaging systems (RabbitMQ, Kafka, etc.) and event-driven ● Proficiency in infrastructure as code (Terraform preferred). ● Familiarity with monitoring stacks (Prometheus, Grafana, ELK, etc.) and system tuning. ● Security More ❯

data engineering function – overseeing architecture, platform operations, integration strategy, and team leadership. You’ll shape the roadmap for data engineering initiatives across Azure, Snowflake, Kafka, and modern Lakehouse architectures, ensuring resilience, scalability, governance, and performance. Key Responsibilities: Lead the Data Engineering Function : Define and implement the data engineering strategy … the enterprise. Platform Ownership : Own the full lifecycle of the data platform – ingestion, storage, transformation, governance, and access – with a focus on Azure, Snowflake, Kafka, and Data Lakes. Strategic Leadership : Shape the vision and roadmap for the data engineering function in line with business objectives, regulatory requirements, and technological … experience as a Head of Data Engineering , Principal Data Engineer , or Lead Data Architect , managing large-scale data platform initiatives. Expertise in Azure , Snowflake , Kafka , and Data Lake technologies, with a strong grasp of modern architectural patterns (Lakehouse, Lambda, Kappa). Strong knowledge of data governance , security , and regulatory More ❯

including design, development, and implementation. Reporting into an Engineering Manager, the Senior Backend Engineer will also leverage modern technologies like AWS, Kubernetes, Docker, and Kafka, whilst also architecting and implementing microservices-based solutions in collaboration with cross-functional teams. In addition, the Senior Backend Engineer will also be responsible … on complex, data-intensive applications A product-focused mindset and familiarity with working in technology-driven organisations or start-ups Hands-on skills in Kafka, Cassandra, gRPC, and microservices architecture will also be beneficial, as well as experience contributing to open-source projects If you're a passionate Senior More ❯

to ensure 24/7 coverage of global trading systems Use the latest technology stacks such as AWS, Java 17, Python 3, HDF5, Kubernetes, Kafka and Argo Candidate Requirements Years experience in financial technology support, preferably in electronic trading Strong understanding of market data structures and exchange connectivity Scripting … abilities in Python, Bash, or similar languages Knowledge of monitoring tools and alerting frameworks Exposure to data technologies such as Kafka, Spark or Delta Lake is useful but not mandat Bachelor's degree in Computer Science, Engineering, or related technical field This role offers competitive compensation and the opportunity More ❯