176 to 200 of 258 Remote Kafka Jobs

following key abilities or experience: Deep technical expertise in at least one data ecosystem (e.g. Oracle, SQL Server, Cloud Data platforms) plus real-time data streaming/processing technologies (Kafka, Spark). Data modelling and governance proficiency, covering conceptual, logical, and physical architectures, metadata management. Cloud data technologies: experience architecting solutions on AWS, Azure, or GCP, optimising cost, performance More ❯

languages such asPython, R, and SQL. An understanding of databasetheory and design. Experience withSQL and NoSQL databases. Familiarity with big datatechnologies and ecosystems suchas MicrosoftSynapse/Fabric,Hadoop, Spark, Kafka, and others. Skills in data modelling and datawarehousing solutions. Experienceof dimensional modelling (Kimball). Proven Experience in designing and developing ETL/ELT processes. Knowledge of data pipeline toolssuch More ❯

conversion data, targeting and measurement, as well as the changing privacy and compliance landscape. Have a data engineering background, or working experience with data technologies such as Databricks, Spark, Kafka, SQL and Airflow. Have a strong sense of ownership and track record of delivery. You get huge satisfaction from tackling complex and ambitious problems, and delivering the highest quality More ❯

associated security incident response systems Stay informed about emerging threats and security best practices. Data Ingestion and Enrichment: Configure Elasticsearch pipelines for data ingestion from various sources, primarily from Kafka Enhance data enrichment by integrating threat intelligence feeds and contextual information. Keep abreast of relevant technologies in the area Reading, attending briefings and talks. Contribute to the running of More ❯

Role: Java Developer - Microservices | AWS | Kafka Location: Manchester (Hybrid - 3 days onsite, 2 days remote) Salary: Up to £55,000 DOE My client is looking for a talented Java Developer to join their growing engineering team in Manchester. This is a fantastic opportunity to work on high-scale, cloud-native systems using modern technologies in a collaborative, forward-thinking … environment. The Role: Java and the full Spring ecosystem (Spring Boot, Spring Cloud, Spring Data, Spring Cloud Stream) Kafka, MongoDB, ElasticSearch, and Redis AWS cloud services including Lambda, Step Functions, and general serverless architecture Docker and Kubernetes in modern DevOps environments Test-driven development (TDD) and clean architecture principles (DDD) You'll also contribute to architecture discussions, peer reviews … technical presentations within the team. What They're Looking For: Strong Java development experience using Spring-based frameworks Knowledge of distributed systems and microservices best practices Hands-on with Kafka, NoSQL/ElasticSearch, and containerised environments Experience with AWS services and cloud-native design Comfortable working in Agile teams and contributing to technical direction This is a fantastic opportunity More ❯

Role: Java Developer - Microservices | AWS | Kafka Location: Manchester (Hybrid - 3 days onsite, 2 days remote) Salary: Up to £55,000 DOE My client is looking for a talented Java Developer to join their growing engineering team in Manchester. This is a fantastic opportunity to work on high-scale, cloud-native systems using modern technologies in a collaborative, forward-thinking … environment. The Role: Java and the full Spring ecosystem (Spring Boot, Spring Cloud, Spring Data, Spring Cloud Stream) Kafka, MongoDB, ElasticSearch, and Redis AWS cloud services including Lambda, Step Functions, and general serverless architecture Docker and Kubernetes in modern DevOps environments Test-driven development (TDD) and clean architecture principles (DDD) You'll also contribute to architecture discussions, peer reviews … technical presentations within the team. What They're Looking For: Strong Java development experience using Spring-based frameworks Knowledge of distributed systems and microservices best practices Hands-on with Kafka, NoSQL/ElasticSearch, and containerised environments Experience with AWS services and cloud-native design Comfortable working in Agile teams and contributing to technical direction This is a fantastic opportunity More ❯

Java Developer - Microservices | AWS | Kafka | Manchester (3 Days Onsite) Location: Manchester (Hybrid - 3 days onsite, 2 days remote) Salary: £35,000 - £55,000 DOE My client is looking for a talented Java Developer to join their growing engineering team in Manchester. This is a fantastic opportunity to work on high-scale, cloud-native systems using modern technologies in a … forward-thinking environment. The Role: You'll be building distributed, event-driven microservices using: Java and the full Spring ecosystem (Spring Boot, Spring Cloud, Spring Data, Spring Cloud Stream) Kafka , MongoDB , ElasticSearch , and Redis AWS cloud services including Lambda , Step Functions , and general serverless architecture Docker and Kubernetes in modern DevOps environments Test-driven development ( TDD ) and clean architecture … technical presentations within the team. What They're Looking For: Strong Java development experience using Spring-based frameworks Knowledge of distributed systems and microservices best practices Hands-on with Kafka, NoSQL/ElasticSearch, and containerised environments Experience with AWS services and cloud-native design Comfortable working in Agile teams and contributing to technical direction Why Apply? Work with cutting More ❯

Java Developer - Microservices | AWS | Kafka | Manchester (3 Days Onsite) Location: Manchester (Hybrid - 3 days onsite, 2 days remote) Salary: £35,000 - £55,000 DOE My client is looking for a talented Java Developer to join their growing engineering team in Manchester. This is a fantastic opportunity to work on high-scale, cloud-native systems using modern technologies in a … forward-thinking environment. The Role: You'll be building distributed, event-driven microservices using: Java and the full Spring ecosystem (Spring Boot, Spring Cloud, Spring Data, Spring Cloud Stream) Kafka , MongoDB , ElasticSearch , and Redis AWS cloud services including Lambda , Step Functions , and general serverless architecture Docker and Kubernetes in modern DevOps environments Test-driven development ( TDD ) and clean architecture … technical presentations within the team. What They're Looking For: Strong Java development experience using Spring-based frameworks Knowledge of distributed systems and microservices best practices Hands-on with Kafka, NoSQL/ElasticSearch, and containerised environments Experience with AWS services and cloud-native design Comfortable working in Agile teams and contributing to technical direction Why Apply? Work with cutting More ❯

ML Engineers, analysts, analytics engineers and have a strong grasp of their needs and how they operate Big data technologies, with expertise in tools & platforms such as Airflow, dbt, Kafka, Databricks and data observability & catalogue) solutions (e.g. Monte Carlo, Atlan, Datahub) Cloud Platform Proficiency: Familiarity with AWS, GCP, or Microsoft Azure, with hands-on experience building scalable, reliable data … Data Lake table/file formats: Delta Lake, Parquet, Iceberg, Hudi Previous h ands-on expertise with Spark Experience working with containerisation technologies - Docker, Kubernetes Streaming Knowledge: Experience with Kafka/Flink or other streaming ecosystems, with a solid understanding of their components DevOps experience building CI/CD pipelines (Jenkins), IaC (Terraform) Direct experience contributing to projects involving More ❯

Company: Sidetrade Type: Full-time Location Type: Hybrid Location: Birmingham, England, United Kingdom Indulge your passion for high-availability software and performance enhancement as part of our dynamic team. Embrace the challenge, embrace the excitement - become a DevOps Engineer and More ❯

constructive technical feedback. Desirables: Experience designing solutions in multi-cloud or hybrid-cloud environments. Advanced knowledge of Kubernetes networking and service mesh technologies (e.g., Istio, Calico). Exposure to Kafka and its ecosystem (Kafka Connect, ksqlDB). Expertise in debugging complex distributed systems. Familiarity with relational databases (MySQL, PostgreSQL, Oracle). Benefits: 25 days holiday and increases with More ❯

constructive technical feedback. Desirables: Experience designing solutions in multi-cloud or hybrid-cloud environments. Advanced knowledge of Kubernetes networking and service mesh technologies (e.g., Istio, Calico). Exposure to Kafka and its ecosystem (Kafka Connect, ksqlDB). Expertise in debugging complex distributed systems. Familiarity with relational databases (MySQL, PostgreSQL, Oracle). Benefits: 25 days holiday and increases with More ❯

innovation by evaluating and implementing emerging technologies. Maintain high standards of code quality, testing, and documentation. Requirements: Strong experience in PHP, Python, microservices, and event-driven architecture (e.g., Apache Kafka). Familiarity with frameworks like Laravel and design patterns such as MVC. Proven leadership in software development and mentoring. Excellent communication, problem-solving, and organisational skills. Experience with tools More ❯

with natural language querying Document Validation POC - including interface and full integration Key Skills Required Cloud Data Engineering: AWS (Aurora, DMS, Lambda, Kinesis), Azure Data Factory Streaming & CDC: Apache Kafka, AWS Kinesis, change data capture AI/Vector Search: Pinecone, Weaviate, or Chroma with LangChain API Development: RESTful services, 3rd-party system integrations Production Standards: Monitoring, logging, cost optimisation More ❯

demonstrate a solid understanding of the concepts of real time data streaming, batch data processing and data transformation processes Experience with core tools such as Data Factory, Databricks, Synapse, Kafka and Python Any exposure to data migration/ETL would be highly beneficial, with SQL/T-SQL, SSIS, SSRS and SSAS, as there is a large data migration More ❯

within DevEx/Developer Enablement/Developer Experience. A background in software engineering, with exposure to cloud-native tooling, microservices, and event-driven architectures. Familiarity with tools like GitLab, Kafka, and monitoring solutions like Grafana (or similar). A strong understanding of building internal platforms that improve developer workflows, CI/CD processes, and observability. A thoughtful, empathetic leadership More ❯

within DevEx/Developer Enablement/Developer Experience. A background in software engineering, with exposure to cloud-native tooling, microservices, and event-driven architectures. Familiarity with tools like GitLab, Kafka, and monitoring solutions like Grafana (or similar). A strong understanding of building internal platforms that improve developer workflows, CI/CD processes, and observability. A thoughtful, empathetic leadership More ❯

within DevEx/Developer Enablement/Developer Experience. A background in software engineering, with exposure to cloud-native tooling, microservices, and event-driven architectures. Familiarity with tools like GitLab, Kafka, and monitoring solutions like Grafana (or similar). A strong understanding of building internal platforms that improve developer workflows, CI/CD processes, and observability. A thoughtful, empathetic leadership More ❯

Data Architecture: Build and maintain big data architectures and data pipelines to efficiently process large volumes of geospatial and sensor data. Leverage technologies such as Hadoop, Apache Spark, and Kafka to ensure scalability, fault tolerance, and speed. Geospatial Data Integration: Develop systems that integrate geospatial data from a variety of sources (e.g., satellite imagery, remote sensing, IoT sensors, and … applications. Familiarity with geospatial data formats (e.g., GeoJSON, Shapefiles, KML) and tools (e.g., PostGIS, GDAL, GeoServer). Technical Skills: Expertise in big data frameworks and technologies (e.g., Hadoop, Spark, Kafka, Flink) for processing large datasets. Proficiency in programming languages such as Python, Java, or Scala, with a focus on big data frameworks and APIs. Experience with cloud services and … field. Experience with data visualization tools and libraries (e.g., Tableau, D3.js, Mapbox, Leaflet) for displaying geospatial insights and analytics. Familiarity with real-time stream processing frameworks (e.g., Apache Flink, Kafka Streams). Experience with geospatial data processing libraries (e.g., GDAL, Shapely, Fiona). Background in defense, national security, or environmental monitoring applications is a plus. Compensation and Benefits: Competitive More ❯

mission to empower safe and sustainable transport around the world through data insights. You will be the go-to person for our cloud data pipeline & underlying infrastructure, especially Apache Kafka and our PostgreSQL database . You will also work with tech like Kubernetes, Vault, go microservices and other cloud services, as well as on-premise infrastructure. Your technical expertise … on problems, even when you are not familiar with the problem space, and you know when and how to ask for help. Requirements for the role: Expertise in Apache Kafka (ideally Kafka Strimzi), including broker management, scaling, upgrades, and integration with high-throughput data pipelines. Experience managing PostgreSQL databases, including load analysis, query optimisation, and role management. Experience More ❯

system with natural language querying Document validation integration POC with working interface Essential skills Cloud Data Engineering: AWS (Aurora, DMS, Lambda, Kinesis), Azure Data Factory Real-time Streaming: Apache Kafka, AWS Kinesis, change data capture (CDC) Vector Databases: Pinecone, Weaviate, or Chroma etc. with LangChain integration API Development: RESTful services, third-party integrations Production Systems: Enterprise-grade monitoring, error More ❯

system with natural language querying Document validation integration POC with working interface Essential skills Cloud Data Engineering: AWS (Aurora, DMS, Lambda, Kinesis), Azure Data Factory Real-time Streaming: Apache Kafka, AWS Kinesis, change data capture (CDC) Vector Databases: Pinecone, Weaviate, or Chroma etc. with LangChain integration API Development: RESTful services, third-party integrations Production Systems: Enterprise-grade monitoring, error More ❯

processing using Databricks, AI and Machine Learning Amazon Bedrock, AWS Sagemaker, Unified Studio, R Studio/Posit Workbench, R Shiny/Posit Connect, Posit Package Manager, AWS Data Firehose, Kafka, Hive, Hue, Oozie, Sqoop, Git/Git Actions, IntelliJ, Scala Responsibilities of the Data Engineer (AWS): Act as an internal consultant, advocate, mentor, and change agent providing expertise and More ❯

of open-source technology and multi-cloud solutions. Our vision is to become the trusted Data & AI Platform for everyone, leveraging the most popular open-source technologies like Apache Kafka, Aiven for PostgreSQL, Aiven for Clickhouse, and Aiven for OpenSearch. to help companies accelerate time-to-market, drive efficiency, and build innovative solutions across any cloud. Who we are More ❯

management duties, while giving technical direction to a growing team of developers globally. The platform is a Greenfield build using standard modern technologies such as Java, Spring Boot, Kubernetes, Kafka, MongoDB, RabbitMQ, Solace, Apache Ignite. The platform runs in a hybrid mode both on-premise and in AWS utilising technologies such as EKS, S3, FSX. The main purpose of … knowledge of SQL and/or NoSQL database technologies Expert knowledge of various messaging protocols and technologies such as REST, HTTP/S, AMQP, WebSocket Expert knowledge of Confluent Kafka Experience and good understanding of core technologies provided by GCP/AWS, such as S3, FSX, EKS, SQS, SNS, Kinesis, AmazonMQ, DynamoDB, GKE, CloudStorage, PubSub, Filestore, Knowledge of modern More ❯