1 to 25 of 67 Remote/Hybrid Kafka Jobs

Technical Consultant role.* Background in data engineering — ETL/ELT pipelines, data modelling, or analytics platforms.* Familiarity with event-driven architectures, message queues (Kafka, SQS, RabbitMQ), and microservices patterns.* Experience with advanced AI/ML engineering, including fine-tuning open-source models, building evaluation frameworks for LLM outputs ...

delivering solutions. Desirable Experience with containerisation and orchestration tools such as Docker and Kubernetes. Familiarity with event-driven architecture and message brokers (e.g., Kafka, RabbitMQ). Knowledge of front-end performance optimisation and accessibility standards. Exposure to machine learning pipelines or data engineering workflows. Prior experience working in startup ...

environment). Comfortable working in Agile delivery teams with iterative releases and continuous improvement. Nice to Have Experience with event-driven architectures (e.g., Kafka or similar). Knowledge of observability practices (metrics, logging, tracing) and production monitoring. Experience improving performance and scalability in high-throughput systems. Understanding of secure ...

DevOps & Cloud: Hands-on experience with Kubernetes , Docker, Terraform, and CI/CD tools like Jenkins or GitHub Actions. Data & Messaging: Expert knowledge of Kafka , Apache Flink, PostgreSQL, Oracle, and Elasticsearch. Security: Deep understanding of OAuth 2.0, secure web services, and API gateway management. Candidate Profile Enterprise Experience: Proven ...

using OAuth2/OIDC, session management, and fine-grained permissions. Design and maintain event-driven architectures and background processing pipelines (e.g. Celery, Redis Streams, Kafka) to enable scalable async workloads, retries, and fault-tolerant integrations. Design data models and optimise relational databases (PostgreSQL) for performance, partitioning, and horizontal scale. ...

/CD, and Agile delivery practices Desirable Experience with Docker and Kubernetes Knowledge of payment systems, trading platforms, risk, or regulatory reporting Exposure to Kafka, RabbitMQ, or event-driven architectures This is a great opportunity to join a growing team delivering innovative financial technology solutions in a hybrid Belfast ...

improve application performance Strong understanding of secure coding practices Exposure to the following would be advantageous but not essential: - Messaging/streaming technologies (Kafka, SQS) Serverless technologies (e.g., AWS Lambda) Monitoring/logging tools (ELK, Splunk, Dynatrace) ORM technologies (JPA, Hibernate) API documentation tools (e.g., Swagger/OpenAPI) Test ...

automated tests. * SE II: ~3-6 years' experience. Senior: 8+ years with leadership/ownership stories. Nice to Have: * BigQuery, WebSockets, Pub/Sub (Kafka/RabbitMQ/SNS/SQS). * Docker/Kubernetes; GCP/AWS; Observability (metrics/logs/tracing). Why Join * Impact ...

frameworks Java, Go, C#, Rust, or other strongly typed languages Internal platform engineering or developer platform ownership Event-driven architectures using EventBridge, Kinesis, Kafka, SQS, or SNS Contact centre, voice, or AWS Connect environments What's on Offer Remote-first working across the UK Exposure to large-scale cloud ...

Reliability Engineering (SRE) practices. Data Technologies: Proficiency in data technologies such as relational databases, data warehousing, big data platforms (e.g., Hadoop), data streaming (e.g., Kafka), and cloud services (e.g., AWS, GCP, Azure). Programming Skills: Programming skills in languages like Python (NumPy, pandas, PySpark), Java (Core Spark with Java ...

collaboration and communication skills. Strong experience in distributed systems and event-driven architectures. Hands-on experience with: Apache Flink (or similar stream processing frameworks) Kafka or other messaging systems. Strong Proficiency in .NET or Java. Experience building systems that are highly observable and operationally mature, with strong monitoring, logging ...

e.g., Airflow, Databricks Workflows) Strong understanding of data modelling and lakehouse architecture Databricks certifications (e.g., Databricks Certified Data Engineer) Experience with streaming data pipelines (Kafka, Structured Streaming) Experience with CI/CD and DevOps practices Knowledge of Delta Lake features (time travel, CDC, optimisation) Experience with containerisation (Docker, Kubernetes ...

robust, scalable solutions ESSENTIAL EXPERIENCE Strong backend Java and Spring Boot experience built in production environments Solid microservices and event driven architecture, ideally with Kafka or similar Cloud and infrastructure as code experience, Azure and Terraform ideally, though strong AWS plus Terraform transfers A genuine ownership mindset and strong ...

Essential Skills for the Principal .NET Engineer: Deep hands-on expertise in ASP.NET Core, Web API, C#, Entity Framework Strong experience with Azure, Kubernetes, Kafka and Microservices architecture Experience with MongoDB, cloud integrations and distributed systems Strong knowledge of JavaScript/TypeScript Experience using Terraform/Infrastructure as Code ...

Microsoft 365 and exposure to AI productivity tooling is advantageous Desirable Experience: Vector databases and embedding-based pipelines Real-time data streaming technologies (e.g. Kafka, Flink) RPA tools such as UiPath or Power Automate Data transformation tools such as dbt Exposure to modern AI tooling and frameworks (e.g. Claude ...

environments. Hard Skills Experience in data engineering, ideally aerospace/defence or industrial sectors. ETL/ELT tools (Airflow, Azure, Microsoft SSIS), streaming (Spark, Kafka). Strong Python and SQL; C++, C#, or MATLAB a plus. Databases: PostgreSQL, SQL Server, Oracle, Snowflake, Iceberg, TimescaleDB. Data Platform Capabilities: Low-Code ...

career in data engineering, it can feel like youre staring at a never-ending list of tools and technologies SQL, Python, Spark, Kafka, Airflow, dbt, Snowflake, Redshift, Terraform, Kubernetes, and the list goes on. Scroll job boards and LinkedIn, and its easy to conclude that unless you have experience ...

career in data engineering, it can feel like youre staring at a never-ending list of tools and technologies SQL, Python, Spark, Kafka, Airflow, dbt, Snowflake, Redshift, Terraform, Kubernetes, and the list goes on. Scroll job boards and LinkedIn, and its easy to conclude that unless you have experience ...

Kubernetes networking, security and service mesh technologies Experience with the following would be highly beneficial: Cilium Istio/Service Mesh ArgoCD or Flux OpenTelemetry Kafka or Redpanda Python automation tooling Policy as Code/Kubernetes security tooling To progress matters please send your CV Laura at Services advertised ...

senior stakeholders to align technology with business goals Essential Skills for the Principal Java Engineer: Deep hands-on expertise in Java, Spring Boot, Microservices, Kafka and AWS Strong understanding of software architecture and scalable system design Experience leading development of high-performance distributed systems Proven experience in a Principal ...

Job Title: Lead Java Developer Rate: £570 (Inside IR35) Duration: 6 months Location: Hybrid - Once a week in Leeds and once every quater to Manchester Clearance: BPSS Stages: 1 Stage Must Have Government & Lead Experience ...

Description: DevSecOps (continuous integration, automation, security scanning); Scripting: Bash/Linux/Python; Automation and containerisation; Solution based mindset; DevOps culture; Python; Apache Kafka; Kubernetes; Docker; CICD; Secure development in air gapped environments; AI/ML model integration experience. Role scope Primary focus : Is this role mainly hands ...

role Strong hands-on experience with AWS (EC2, S3, RDS, Lambda, Redshift, Glue, Athena) Experience with real-time and batch data processing - Apache Flink, Kafka, Spark, or similar Proficiency in one or more of: Python, Java, Scala Experience with data modelling , ETL processes, and distributed systems Comfortable working ...

Nice to have: pandas experience Exposure to Azure or AWS Basic Docker or DevOps knowledge Interest in AI/ML Experience with streaming tools (Kafka, RabbitMQ) Hybrid working – 3 days per week in a central London office (Tues - Thurs) If you’re excited by the idea of building ...

monitoring, and optimisation platforms Mentor engineers at all levels, support graduate onboarding, and shape long-term engineering culture The Stack Python, FastAPI, GraphQL (Strawberry), Kafka MSK, MQTT, REST APIs, Redshift, SQL, AWS (EC2, ECS, ECR, RDS, IoT Core, IAM, MSK), Docker, Linux, Bitbucket, CI/CD pipelines, trunk-based ...