501 to 525 of 1,088 Kafka Jobs

record of building performant, maintainable, and testable systems Solid background in microservices architecture Proficiency with Postgres & MongoDB (relational + non-relational) Experience with event-driven architectures and asynchronous workflows (Kafka, Airflow, etc.) Solid coding practices (clean, testable, automated) The mindset of a builder: thrives in fast-paced startup environments, takes ownership, solves complex challenges Bonus points if youve worked More ❯

enhancements to complex Payments and client systems within a microservices environment (300 services). You'll be working with a modern tech stack using C# .Net Core, AWS, Kubernetes, Kafka, Redis and TypeScript/Angular; using the right tool for the job, you'll be able to pick up new technologies and make recommendations for improvements. WFH Policy: You More ❯

to engage users, challenge requirements, and design smarter solutions. A pragmatic, delivery-focused mindset with an interest in clean architecture and software craftsmanship. (Bonus if you’ve worked with Kafka, Azure, or Docker/Kubernetes, or if you’ve built systems in R&D, motorsport, or real-time data environments). Click the ‘Apply’ button to find out more. More ❯

You can code with Golang, Python or Scala You have experience with Google BigQuery You have a good knowledge of event-driven architectures and messaging systems (Pub/Sub, Kafka) You have experience of deploying and managing services in cloud environments, GCP preferred, AWS also fine You're collaborative with fluent English language skills You are degree educated in More ❯

systems in the industry. Be part of a developer-led support team that values technical depth, ownership, and problem-solving. Gain exposure to cutting-edge technologies such as AWS, Kafka, Kubernetes, and real-time data analytics pipelines. Hybrid model with 3 days per week in the office, promoting both collaboration and flexibility. If you’re a technically-minded engineer More ❯

systems in the industry. Be part of a developer-led support team that values technical depth, ownership, and problem-solving. Gain exposure to cutting-edge technologies such as AWS, Kafka, Kubernetes, and real-time data analytics pipelines. Hybrid model with 3 days per week in the office, promoting both collaboration and flexibility. If you’re a technically-minded engineer 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 & Experience To be considered for this position you'll need to demonstrate More ❯

systems in the industry. Be part of a developer-led support team that values technical depth, ownership, and problem-solving. Gain exposure to cutting-edge technologies such as AWS, Kafka, Kubernetes, and real-time data analytics pipelines. Hybrid model with 3 days per week in the office, promoting both collaboration and flexibility. If you’re a technically-minded engineer 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 & Experience To be considered for this position you'll need to demonstrate More ❯

systems in the industry. Be part of a developer-led support team that values technical depth, ownership, and problem-solving. Gain exposure to cutting-edge technologies such as AWS, Kafka, Kubernetes, and real-time data analytics pipelines. Hybrid model with 3 days per week in the office, promoting both collaboration and flexibility. If you’re a technically-minded engineer More ❯

systems in the industry. Be part of a developer-led support team that values technical depth, ownership, and problem-solving. Gain exposure to cutting-edge technologies such as AWS, Kafka, Kubernetes, and real-time data analytics pipelines. Hybrid model with 3 days per week in the office, promoting both collaboration and flexibility. If you’re a technically-minded engineer 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 & Experience To be considered for this position you'll need to demonstrate More ❯

ETL/ELT pipelines , data modeling , and data warehousing . Experience with cloud platforms (AWS, Azure, GCP) and tools like Snowflake, Databricks, or BigQuery . Familiarity with streaming technologies (Kafka, Spark Streaming, Flink) is a plus. Tools & Frameworks: Airflow, dbt, Prefect, CI/CD pipelines, Terraform. Mindset: Curious, data-obsessed, and driven to create meaningful business impact. Soft Skills More ❯

or PhD in AI, ML, Computer Science, or a related field. Understanding of Reinforcement Learning algorithms. Experience with cloud services (AWS, Azure, GCP). Familiarity with tools such as Kafka, Kubernetes, Prometheus, and Grafana. Interest or prior experience in financial markets. Why Join Us At Predictiva, you’ll have the chance to work at the intersection of AI research More ❯

or PhD in AI, ML, Computer Science, or a related field. Understanding of Reinforcement Learning algorithms. Experience with cloud services (AWS, Azure, GCP). Familiarity with tools such as Kafka, Kubernetes, Prometheus, and Grafana. Interest or prior experience in financial markets. Why Join Us At Predictiva, you’ll have the chance to work at the intersection of AI research More ❯

or PhD in AI, ML, Computer Science, or a related field. Understanding of Reinforcement Learning algorithms. Experience with cloud services (AWS, Azure, GCP). Familiarity with tools such as Kafka, Kubernetes, Prometheus, and Grafana. Interest or prior experience in financial markets. Why Join Us At Predictiva, you’ll have the chance to work at the intersection of AI research More ❯

or PhD in AI, ML, Computer Science, or a related field. Understanding of Reinforcement Learning algorithms. Experience with cloud services (AWS, Azure, GCP). Familiarity with tools such as Kafka, Kubernetes, Prometheus, and Grafana. Interest or prior experience in financial markets. Why Join Us At Predictiva, you’ll have the chance to work at the intersection of AI research More ❯

met cloud data-oplossingen, hands-on of als architect Ervaring met cloudplatforms (Azure, AWS, GCP), CI/CD-tools (zoals Bitbucket, Azure DevOps, Jenkins), big data tools (zoals Spark, Kafka), programmeertalen (Python, R, Scala, .NET) en scripting (Powershell, Bash) Je weet hoe je een digitale visie vertaalt naar een dataroadmap en deze eigenaarschap geeft Je bent communicatief sterk, bouwt More ❯

a hands-on role requiring deep technical execution alongside strategic leadership. The ideal candidate brings proven expertise across the following areas: Data Engineering: Proven experience with streaming platforms (e.g. Kafka), real-time processing frameworks and modern data stack tools Architecture: Demonstrated ability to design low-latency, high-throughput data systems with microsecond-level performance requirements Cloud Platforms: Hands-on More ❯

proficient experience with Python, strong experience in ML frameworks (TensorFlow, PyTorch, Scikit-learn) Experience with distributed training and optimization on GPUs (CUDA, RAPIDS) Familiarity with data pipelines (Spark, Databricks, Kafka) Hands-on experience with CI/CD for ML workflows and container orchestration (Docker, Kubernetes) Strong knowledge of algorithms, data structures, and ML system design Practical experience deploying on More ❯

back-end language backgrounds if they can learn Java quickly. Demonstrated experience tuning and optimising performance on the JVM. Familiarity with AWS and event-driven or streaming architectures (e.g., Kafka, Kinesis). Experience with financial systems, exchange connectivity, or distributed high-throughput systems is highly desirable. Knowledge of crypto trading, digital assets, or market data feeds is an advantage More ❯

back-end language backgrounds if they can learn Java quickly. Demonstrated experience tuning and optimising performance on the JVM. Familiarity with AWS and event-driven or streaming architectures (e.g., Kafka, Kinesis). Experience with financial systems, exchange connectivity, or distributed high-throughput systems is highly desirable. Knowledge of crypto trading, digital assets, or market data feeds is an advantage More ❯

back-end language backgrounds if they can learn Java quickly. Demonstrated experience tuning and optimising performance on the JVM. Familiarity with AWS and event-driven or streaming architectures (e.g., Kafka, Kinesis). Experience with financial systems, exchange connectivity, or distributed high-throughput systems is highly desirable. Knowledge of crypto trading, digital assets, or market data feeds is an advantage More ❯

DevOps principles, with practical experience supporting data-centric workloads. Experienced working across both bare-metal and Cloud environments. Skilled in designing and operating distributed data platforms such as Spark, Kafka, Cassandra, or Elasticsearch. Familiarity with modern data practices such as data lakes, data warehousing, and large-scale batch/streaming pipelines. Comfortable writing automation and platform tooling (Python, Bash More ❯

to power segmentation, recommendation, targeting, and measurement. Strong knowledge of both SQL and NoSQL databases like PostgreSQL, BigQuery, Cassandra, or DynamoDB. Experience with large-scale data platforms (e.g., Spark, Kafka, Flink, BigQuery) and cloud environments, with a preference for AWS or GCP . Expertise in data engineering: pipelines , modeling, batch vs. event streaming, and ETL/ELT. Demonstrated experience More ❯