1 to 25 of 170 Kafka Jobs with Remote Work Options

clearance Experience with cloud technologies i.e. AWS or Azure Programming language experience i.e. Java, Python, node.js or SQL Data technologies experience i.e. PostgreSQL, MongoDB, kafka, Hadoop If you are interested in discussing this DevOps Engineer role further, please apply or send a copy of your updated CV to (url more »

clearance Experience with cloud technologies i.e. AWS or Azure Programming language experience i.e. Java, Python, node.js or SQL Data technologies experience i.e. PostgreSQL, MongoDB, kafka, Hadoop If you are interested in discussing this DevOps Engineer role further, please apply or send a copy of your updated CV to (url more »

ensure requirements are well understood and stakeholders have accurate expectations on dates and functionality Requirements Experience building a data platform with streaming tech (Pulsar, Kafka, Kinesis) Design, build and launch highly available and distributed systems data extraction, transformation and loading of datasets Excellent communication and leadership skills. Including the … building custom data frameworks and platforms Agile and Continuous Delivery Continuous integration pipelines Strong Python AWS or Azure with large-scale streaming data (Pulsar, Kafka, Kinesis, etc) ETL management; structured or custom (Airflow, Luigi, etc) Bonus Robust experience managing and developing an engineering team Delta lake or Iceberg Trino more »

Python Application Developer Industries: Energy/Oil & Gas/Financial Services/Commodities/Trading Location: London Job Type: Full-Time Salary: Up to £120,000 base salary + benefits/bonus The Role: We're delighted to have partnered more »

Distributed Processing: Work with Hadoop, Spark, and other platforms for large-scale data processing. Real-Time Data Streaming: Develop and manage pipelines using CDC, Kafka, and Apache Spark. Database Management: Handle SQL databases like Oracle, MySQL, or PostgreSQL. Data Governance: Ensure data quality, security, and compliance with best practices. more »

get involved in variety of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You You're an engineer at heart and enjoy the challenge of building reliable more »

programming Azure or AWS experience Data access methods (SQL, GraphQL, APIs) Beneficial Requirements Experience around data science tools and algorithms Manipulation technologies (e.g., WebSockets, Kafka, Spark) TensorFlow, Pandas, pySpark and scikit-learn would be great Salary up to £75K + 20% bonus and benefits package We have interview slots more »

or AWS) Design and be comfortable building low latency systems Testing distributed systems performances Understanding of containerisation such as Docker Messaging technologies such as Kafka, ActiveMQ, or RabbitMQ Trading, FinTech, Banking experience (bonus) Designing customer-facing APIs Execution, order, or portfolio management systems Create monitoring dashboards using technologies such more »

completely brand new, fully cloud native (AWS/GCP) digital bank. Everything is completely greenfield using cutting-edge technology (Java v.17, Kotlin, AWS, GCP, Kafka, Docker, Kubernetes, Terraform, CI/CD) and requires someone who is going to be involved with the technical strategy as well from inception to more »

get involved in variety of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You You're an engineer at heart and enjoy the challenge of building reliable more »

for you. They're seeking a skilled Java Engineer to help create meaningful solutions using modern Java related technologies such as Spring Boot, Microservices, Kafka, Kubernetes, Docker all while harnessing the power of AWS. Key Responsibilities : Develop and maintain Java applications with Spring Boot and microservices. Collaborate with cross more »

with at least one or more of these programming languages: Python, Scala/Java Experience with distributed data and computing tools, mainly Apache Spark & Kafka Understanding of critical path approaches, how to iterate to build value, engaging with stakeholders actively at all stages. Able to deal with ambiguity and more »

get involved in variety of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You You're an engineer at heart and enjoy the challenge of building reliable more »

feature enhancements. What you will need • Solid commercial experience in GoLang. • Experience with cloud environments • A desire to learn and continuously develop technical skills. • Kafka experience • Multi-threading experience • Great communication skills Nice to have • Understanding of financial markets • Interest in Crypto Find out more If you would like more »

Role: Technical Lead Salary/Package: £115k-£130k + 10% Bonus + RSUs (Total comp £175k+) Company Sector: SaaS Tech: TypeScript, Node, React, Golang, Kafka, AWS, and Kubernetes (No prior experience welcomed) Location: Central London WFH/Hybrid: 3 days a week on site (non negotiable) Bounce to continue … Mentoring: Mentor, sharing best practices, and encouraging a collaborative and innovative engineering culture. Core Technologies: Currently, the tech stack includes TypeScript, Node, React, Golang, Kafka, AWS, and Kubernetes. While familiarity with these technologies is a plus, the ideal candidate should have strong engineering foundations and problem-solving skills applicable more »

Proficiency in cloud platforms (AWS, GCP, Azure) and containerization (Docker) is a game-changer. Familiarity with caching technologies (Redis) and messaging/streaming tech (Kafka, RabbitMQ) will set you apart. Why You Belong Here Join a fast-growing FinTech company with a vibrant start-up culture and global reach. more »

of cyber criminals. The Ideal Software Engineer will have: Strong technical knowledge of Java. Experience with one or more of C#, React, SQL Server, Kafka, AWS, Ansible, Docker, Javascript. Experience of team leadership/mentorship. Prior experience working within an agile environment. Software Engineer Key Details Salary up to more »

Django, Docker Experience working with ETL pipelines is desirable e.g. Luigi, Airflow or Argo Experience with big data technologies, such as Apache Spark, Hadoop, Kafka, etc. Data acquisition and development of data sets and improving data quality Preparing data for predictive and prescriptive modelling Hands on coding experience, such more »

the ELK stack. Set up and manage the CI/CD pipeline using BitBucket, Maven, Terraform, Jenkins, Ansible/Packer, and Kustomize. Work with Kafka, SQS for queuing solutions and implement scheduling using Jenkins/Ansible. Use a combination of Cucumber, JUnit, Selenium, and Postman for comprehensive testing. Qualifications more »

skills Bonus points for: Trading experience (digital assets or traditional) Cloud platforms (AWS, GCP, Azure) Containerization (Docker) & caching technologies (Redis) Messaging/streaming tech (Kafka, RabbitMQ) Why Join? Fast-growing FinTech with a start-up vibe & global reach Cutting-edge technology & impactful problem-solving Diverse, client-focused team environment more »

As a Machine Learning Engineer: Apply Machine Learning Engineering project You will build the Machine Learning Infrastructures interacting with CI/CD pipelines, MLFlow, Kafka, and Kubernetes. Lead a Team of ML Engineers. You will be developing and Deploying Advanced Analytical algorithms/scalable solutions using Cloud. You will … of Machine Learning and clustering techniques with commercial experience as a Data Scientist. DevOps experience in CI/CD. Experience using Tensorflow, Kubernetes, MLFlow, Kafka, and Airflow. Experience using Python is a must (tools like AWS and Spark are beneficial) Excellent communication skills and team and colleague engagement. A more »

get involved in variety of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You You're an engineer at heart and enjoy the challenge of building reliable more »

Cloud Platform/Cloud Run/Cloud Build/FireStore CI/CD Google Cloud Build. Also: Terraform with SonarQube, FOSSA, 42Crunch and Checkmarx Kafka (yeah, we know) And potentially new tech that you introduce us to About You: You have just read “How We Work” and “About Ford more »

As a Machine Learning Engineer: Apply Machine Learning Engineering project You will build the Machine Learning Infrastructures interacting with CI/CD pipelines, MLFlow, Kafka, and Kubernetes. You will be developing and Deploying Advanced Analytical algorithms/scalable solutions using Cloud. You will be working with a team of … of Machine Learning and clustering techniques with commercial experience as a Data Scientist. DevOps experience in CI/CD. Experience using Tensorflow, Kubernetes, MLFlow, Kafka, and Airflow. Experience using Python is a must (tools like AWS and Spark are beneficial) Excellent communication skills and team and colleague engagement. A more »

get involved in variety of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You You're an engineer at heart and enjoy the challenge of building reliable more »