201 to 225 of 1,064 Kafka Jobs

preferred) including S3, Redshift, Glue, Lambda Familiarity with data warehousing (Redshift, Snowflake, BigQuery) Experience with workflow orchestration tools (Airflow, Dagster, Prefect) Understanding of distributed systems, batch and streaming data (Kafka, Kinesis) Knowledge of IaC (Terraform, CloudFormation) and containerisation (Docker, Kubernetes) Nice to have: Experience with dbt, feature stores, or ML pipeline tooling Familiarity with Elasticsearch or real-time analytics More ❯

preferred) including S3, Redshift, Glue, Lambda Familiarity with data warehousing (Redshift, Snowflake, BigQuery) Experience with workflow orchestration tools (Airflow, Dagster, Prefect) Understanding of distributed systems, batch and streaming data (Kafka, Kinesis) Knowledge of IaC (Terraform, CloudFormation) and containerisation (Docker, Kubernetes) Nice to have: Experience with dbt, feature stores, or ML pipeline tooling Familiarity with Elasticsearch or real-time analytics More ❯

preferred) including S3, Redshift, Glue, Lambda Familiarity with data warehousing (Redshift, Snowflake, BigQuery) Experience with workflow orchestration tools (Airflow, Dagster, Prefect) Understanding of distributed systems, batch and streaming data (Kafka, Kinesis) Knowledge of IaC (Terraform, CloudFormation) and containerisation (Docker, Kubernetes) Nice to have: Experience with dbt, feature stores, or ML pipeline tooling Familiarity with Elasticsearch or real-time analytics More ❯

preferred) including S3, Redshift, Glue, Lambda Familiarity with data warehousing (Redshift, Snowflake, BigQuery) Experience with workflow orchestration tools (Airflow, Dagster, Prefect) Understanding of distributed systems, batch and streaming data (Kafka, Kinesis) Knowledge of IaC (Terraform, CloudFormation) and containerisation (Docker, Kubernetes) Nice to have: Experience with dbt, feature stores, or ML pipeline tooling Familiarity with Elasticsearch or real-time analytics More ❯

Contribute to architectural decisions and guide best practices across the engineering team Tech Stack Core: Python (FastAPI, Django, or Flask) Infrastructure: AWS/GCP, Docker, Kubernetes Data: Postgres, Redis, Kafka, S3 CI/CD & DevOps: GitHub Actions, Terraform, Pulumi AI/ML Ecosystem: PyTorch, Hugging Face, LangChain (or similar) About You 4+ years of professional experience building production-grade More ❯

experimenting with emerging technologies and tools Value writing clean, modular, and maintainable code Are excited to learn more about financial markets and trading systems Bonus experience: Ruby, Spark, Trino, Kafka Financial markets exposure SQL (Postgres, Oracle) Cloud-native deployments (AWS, Docker, Kubernetes) Observability tools (Splunk, Prometheus, Grafana) Why Apply? This is a fantastic opportunity to join a high-performance More ❯

experimenting with emerging technologies and tools Value writing clean, modular, and maintainable code Are excited to learn more about financial markets and trading systems Bonus experience: Ruby, Spark, Trino, Kafka Financial markets exposure SQL (Postgres, Oracle) Cloud-native deployments (AWS, Docker, Kubernetes) Observability tools (Splunk, Prometheus, Grafana) Why Apply? This is a fantastic opportunity to join a high-performance More ❯

experimenting with emerging technologies and tools Value writing clean, modular, and maintainable code Are excited to learn more about financial markets and trading systems Bonus experience: Ruby, Spark, Trino, Kafka Financial markets exposure SQL (Postgres, Oracle) Cloud-native deployments (AWS, Docker, Kubernetes) Observability tools (Splunk, Prometheus, Grafana) Why Apply? This is a fantastic opportunity to join a high-performance More ❯

experimenting with emerging technologies and tools Value writing clean, modular, and maintainable code Are excited to learn more about financial markets and trading systems Bonus experience: Ruby, Spark, Trino, Kafka Financial markets exposure SQL (Postgres, Oracle) Cloud-native deployments (AWS, Docker, Kubernetes) Observability tools (Splunk, Prometheus, Grafana) Why Apply? This is a fantastic opportunity to join a high-performance More ❯

experimenting with emerging technologies and tools Value writing clean, modular, and maintainable code Are excited to learn more about financial markets and trading systems Bonus experience: Ruby, Spark, Trino, Kafka Financial markets exposure SQL (Postgres, Oracle) Cloud-native deployments (AWS, Docker, Kubernetes) Observability tools (Splunk, Prometheus, Grafana) Why Apply? This is a fantastic opportunity to join a high-performance More ❯

experimenting with emerging technologies and tools Value writing clean, modular, and maintainable code Are excited to learn more about financial markets and trading systems Bonus experience: Ruby, Spark, Trino, Kafka Financial markets exposure SQL (Postgres, Oracle) Cloud-native deployments (AWS, Docker, Kubernetes) Observability tools (Splunk, Prometheus, Grafana) Why Apply? This is a fantastic opportunity to join a high-performance More ❯

and general knowledge of the framework) Experience in building complex, large-scale software solutions from scratch to live production Experience with Java, Spring Boot, Spring Data, JPA, Swagger, Maven, Kafka, PostgreSQL, Jenkins, GIT, RESTful Services, Docker Strong analytical skills Self-starter, fast learner, and great interpersonal skills Excellent English communication skills – spoken and written Financial affinity is an advantage More ❯

and general knowledge of the framework) Experience in building complex, large-scale software solutions from scratch to live production Experience with Java, Spring Boot, Spring Data, JPA, Swagger, Maven, Kafka, PostgreSQL, Jenkins, GIT, RESTful Services, Docker Strong analytical skills Self-starter, fast learner, and great interpersonal skills Excellent English communication skills – spoken and written Financial affinity is an advantage More ❯

and general knowledge of the framework) Experience in building complex, large-scale software solutions from scratch to live production Experience with Java, Spring Boot, Spring Data, JPA, Swagger, Maven, Kafka, PostgreSQL, Jenkins, GIT, RESTful Services, Docker Strong analytical skills Self-starter, fast learner, and great interpersonal skills Excellent English communication skills - spoken and written Financial affinity is an advantage More ❯

expertise with GCP including BigQuery, Pub/Sub, Cloud Composer and IAM You have strong Python, SQL and PySpark skills You have experience with real-time data streaming using Kafka or Spark You have a good knowledge of Data Lakes, Data Warehousing, Data Modelling You're familiar with DevOps principles, containerisation and CI/CD tools such as Jenkins More ❯

and general knowledge of the framework) Experience in building complex, large-scale software solutions from scratch to live production Experience with Java, Spring Boot, Spring Data, JPA, Swagger, Maven, Kafka, PostgreSQL, Jenkins, GIT, RESTful Services, Docker Strong analytical skills Self-starter, fast learner, and great interpersonal skills Excellent English communication skills – spoken and written Financial affinity is an advantage More ❯

expertise with GCP including BigQuery, Pub/Sub, Cloud Composer and IAM You have strong Python, SQL and PySpark skills You have experience with real-time data streaming using Kafka or Spark You have a good knowledge of Data Lakes, Data Warehousing, Data Modelling You're familiar with DevOps principles, containerisation and CI/CD tools such as Jenkins More ❯

and general knowledge of the framework) Experience in building complex, large-scale software solutions from scratch to live production Experience with Java, Spring Boot, Spring Data, JPA, Swagger, Maven, Kafka, PostgreSQL, Jenkins, GIT, RESTful Services, Docker Strong analytical skills Self-starter, fast learner, and great interpersonal skills Excellent English communication skills – spoken and written Financial affinity is an advantage More ❯

and general knowledge of the framework) Experience in building complex, large-scale software solutions from scratch to live production Experience with Java, Spring Boot, Spring Data, JPA, Swagger, Maven, Kafka, PostgreSQL, Jenkins, GIT, RESTful Services, Docker Strong analytical skills Self-starter, fast learner, and great interpersonal skills Excellent English communication skills – spoken and written Financial affinity is an advantage More ❯

expertise with GCP including BigQuery, Pub/Sub, Cloud Composer and IAM You have strong Python, SQL and PySpark skills You have experience with real-time data streaming using Kafka or Spark You have a good knowledge of Data Lakes, Data Warehousing, Data Modelling You're familiar with DevOps principles, containerisation and CI/CD tools such as Jenkins More ❯

expertise with GCP including BigQuery, Pub/Sub, Cloud Composer and IAM You have strong Python, SQL and PySpark skills You have experience with real-time data streaming using Kafka or Spark You have a good knowledge of Data Lakes, Data Warehousing, Data Modelling You're familiar with DevOps principles, containerisation and CI/CD tools such as Jenkins More ❯

team of engineers across multiple global locations. Drive architectural improvements, performance optimisation, and best engineering practices. Technology Environment Languages: Python Architecture: Cloud-native, containerised microservices (Kubernetes, Docker). Infrastructure: Kafka, Terraform, Jenkins, Git, CI/CD pipelines. Data: SQL/NoSQL databases, distributed data processing, data lake environments. Quant Integration: Comfortable working with quant libraries and APIs. Ideal Profile More ❯

team of engineers across multiple global locations. Drive architectural improvements, performance optimisation, and best engineering practices. Technology Environment Languages: Python Architecture: Cloud-native, containerised microservices (Kubernetes, Docker). Infrastructure: Kafka, Terraform, Jenkins, Git, CI/CD pipelines. Data: SQL/NoSQL databases, distributed data processing, data lake environments. Quant Integration: Comfortable working with quant libraries and APIs. Ideal Profile More ❯

team of engineers across multiple global locations. Drive architectural improvements, performance optimisation, and best engineering practices. Technology Environment Languages: Python Architecture: Cloud-native, containerised microservices (Kubernetes, Docker). Infrastructure: Kafka, Terraform, Jenkins, Git, CI/CD pipelines. Data: SQL/NoSQL databases, distributed data processing, data lake environments. Quant Integration: Comfortable working with quant libraries and APIs. Ideal Profile More ❯

and observability frameworks, including lineage tracking, SLAs, and data quality monitoring. Familiarity with modern data lake table formats such as Delta Lake, Iceberg, or Hudi. Background in stream processing (Kafka, Flink, or similar ecosystems). Exposure to containerisation and orchestration technologies such as Docker and Kubernetes. More ❯