376 to 400 of 585 Permanent Kafka Jobs

Azure and Azure SQL Database Proficiency with Docker and containerisation tools Experience working with APIs for data extraction Desirable Skills Familiarity with big data technologies such as Spark and Kafka Experience with machine learning frameworks like TensorFlow or PyTorch Knowledge of data visualisation tools such as Power BI or Tableau Strong understanding of data modelling and database optimisation Experience More ❯

deploying resilient, scalable solutions in cloud environments (AWS preferred), with exposure to Snowflake and other modern data platforms. Event-Driven & Service-Oriented Systems: Proven experience with event-driven architectures (Kafka) and microservices/service-oriented design, including system modelling, solution design, and governance. This is a permanent role based in Manchester or Edinburgh with hybrid working. More ❯

Proven problem-solving ability and a track record of meeting deadlines Excellent communication skills for cross-team collaboration Desirable skills (not essential, but a big plus): SSAS, SSRS, SSIS Kafka, MSK, Snowflake, Aurora DB, SNS AWS or Azure database management If you're ready to join a company that challenges limits, delivers excellence, and offers a truly rewarding career More ❯

ensure a smooth transition of service. Working with cross functional teams, outsourcing contracts, contract schedules, managed service commercial principles. Experience of data driven technology stacks including Docker, Kubernetes and Kafka, data structures including both SQL and Non-SQL such as Elastic and Mongo, experience with programming language (Python, C#) . The role requires someone with strong problem-solving skills More ❯

ensure a smooth transition of service. Working with cross functional teams, outsourcing contracts, contract schedules, managed service commercial principles. Experience of data driven technology stacks including Docker, Kubernetes and Kafka, data structures including both SQL and Non-SQL such as Elastic and Mongo, experience with programming language (Python, C#) . The role requires someone with strong problem-solving skills More ❯

associate's with 10 years, bachelor's with 8 years, master's with 6 years, or PhD with 4 years Deep expertise in big data platforms (e.g., Hadoop, Spark, Kafka) and multi-cloud environments (AWS, Azure, GCP) Experience with machine learning frameworks (e.g., TensorFlow, Scikit-learn, PyTorch) Strong programming skills in Python, Java, or Scala Familiarity with data pipeline More ❯

years building and operating production systems at scale Infrastructure expertise : Deep knowledge of Kubernetes, containerized infrastructure, cloud platforms (e.g. GCP) Database expertise : Production experience with OSS datastores (PostgreSQL, Redis, Kafka) Observability mastery : Hands-on experience with observability stacks (Datadog, Prometheus/Grafana, OpenTelemetry or similar) Programming proficiency : Strong hands-on software engineering skills (Python, Go, Rust) Operational mindset : "You More ❯

Experience with Git Source Control System Position Desired Skills • Experience with the Atlassian Tool Suite (JIRA, Confluence) • Experience with Log Management tools including Syslog-ng and rsyslog • Experience with Kafka Messaging Framework Active Clearance Required: TS/SCI with Full Scope Polygraph Pay: $97.00 to $111.00 per hour range, depending on PTO selection - PLUS generous sign-on bonus and More ❯

a related technical field. You have at least 3 years of software engineering experience with expertise in: Java, .NET, Python, REST API services, RDBMS platforms (Oracle/SQL Server), Kafka, and AWS You're thoughtful in your approach to software engineering practices. You enable a future-ready, high-quality, and responsive code base. Your agile mindset and passion for More ❯

tech strategy with business objectives and cost efficiency. Security & Compliance : Strong understanding of GDPR, API authentication, and observability. Big Data : Experience with data lakes, warehouses, and tools like Spark, Kafka, and Airflow. ETL Expertise : Ability to evaluate and optimize data ingestion and transformation pipelines. DevOps & CI/CD : Hands-on experience with Jenkins, GitHub Actions, Terraform, and CloudFormation. Why More ❯

align technology with business objectives and cost efficiency. Security & Compliance Knowledge: GDPR, API authentication, and observability best practices. Big data processing: Understanding data lakes, warehouses, and tools like Spark, Kafka, and Airflow. ETL Pipelines: Ability to evaluate data ingestion, transformation, and cleaning processes. DevOps & CI/CD: Hands-on knowledge of Jenkins, GitHub Actions, Terraform, and CloudFormation. What's More ❯

of experience in big data technology with experience ranging from platform architecture, data management, data architecture and application architecture High Proficiency working with Hadoop platform including Spark/Scala, Kafka, SparkSQL, HBase, Impala, Hive and HDFS in multi-tenant environments Solid base in data technologies like warehousing, ETL, MDM, DQ, BI and analytical tools extensive experience in metadata management More ❯

Create and maintain Forms, Reports, Views, Workflows, Groups and Roles Create, maintain and enhance Dashboards and reporting, including scheduled reports Create and configure tool integrations with ServiceNow (Elastic, Netcool, Kafka, etc) Coordinate and support application and platform upgrades Assist with design, creation and cataloging of business process flows Work with other members of the ServiceNow development team to propose More ❯

a blend of modern and battle-tested technologies that power high-scale mission-critical systems: • Languages: C++, Python, JavaScript • Databases: In-house relational database, SQL Server, SOLR • Messaging & Streaming: Kafka, RabbitMq You'll Be Trusted To: • Design and implement resilient, scalable systems that serve as the backbone of Bloomberg's user and terminal management infrastructure • Mentor and support colleagues More ❯

cloud environments (e.g. Snowflake, AWS). 6+ years of hands-on technical leadership in building large-scale, distributed data pipelines and reporting tools using big data technologies (e.g. Spark, Kafka, Hadoop), ensuring quality, scalability, and governance. Strong expertise in balancing trade-offs within complex distributed systems, focusing on data quality, performance, reliability, availability, and security. Proficient in software engineering More ❯

CD pipelines across Azure. API architecture - Strong experience designing, implementing, and securing RESTful and/or gRPC APIs. Real-time data systems - Skilled in message streaming with platforms like Kafka, Azure Event Hubs, or RabbitMQ. Leadership in fast-paced environments - Proven track record as a tech lead in high-growth or startup environments, with the ability to build, mentor More ❯

MLOps)Familiarity with big data technologies ( e.g. , Spark, Hadoop)Background in time-series analysis and forecastingExperience with data governance and security best practicesReal-time data streaming is a plus (Kafka, Beam, Flink)Experience with Kubernetes is a plusEnergy/maritime domain knowledge is a plus What We Offer Competitive salary commensurate with experience and comprehensive benefits package (medical, dental More ❯

MLOps)Familiarity with big data technologies ( e.g. , Spark, Hadoop)Background in time-series analysis and forecastingExperience with data governance and security best practicesReal-time data streaming is a plus (Kafka, Beam, Flink)Experience with Kubernetes is a plusEnergy/maritime domain knowledge is a plus What We Offer Competitive salary commensurate with experience and comprehensive benefits package (medical, dental More ❯

XS, ST 2022, ST 2110) Ability to use test equipment/software to analyse MPEG streams Experience of public cloud platform architecture/design Experience with either Influx, Redis, Kafka, Grafana, Kibana Our Values and Benefits Techex has an impressive history with extremely high customer engagement and satisfaction. As a business we have developed consistently through our stellar reputation More ❯

B2B, real-time streaming, batch processing). Strong experience with cloud-native integration services and hybrid cloud environments. Expertise in various data formats (JSON, XML, EDI) and messaging protocols (Kafka, RabbitMQ, JMS). Familiarity with core retail systems such as ERP (e.g., Microsoft Dynamics 365, SAP), POS/MPOS, E-commerce platforms (e.g., Salesforce Commerce Cloud), WMS, OMS, and More ❯

with Flutter and available on both Android and iOS Our back-office/and Rafiki's customer facing web app is written in Typescript/React We use Postgres, kafka, redis and vault We use and leverage AWS as much as possible and we manage it with Terraform We write unit and integration tests, do code reviews and deploy More ❯

resilient, and secure cloud applications in mission-critical environments. Proficiency in backend technologies, including architecture, deployment and operations at all layers of the stack, for both API and Streaming (Kafka) approaches. Ability to manage multiple tribes and domains, leading with vision and strategic direction. Expertise in continuous delivery and DevOps practices, including infrastructure automation, monitoring, logging, and auditing. Proven More ❯

Strong organisational skills with experience in balancing multiple projects Familiarity with Posit Connect, workflow orchestration tools (e.g., Airflow), AWS services (e.g., SageMaker, Redshift), or distributed computing tools (e.g., Spark, Kafka) Experience in a media or newsroom environment Agile team experience Advanced degree in Maths, Statistics, or a related field What's in it for you? Our benefits Our benefits More ❯

opportunity to leave your mark on something transformative. Design, develop and maintain user interfaces and web applications (Angular, React) Create and maintain RESTful APIs and contribute to EDAs (Node, Kafka) Implement authentication, authorization and security measures Translate UX designs or wireframes into efficient, reusable code Actively participate in CI/CD strategy with wider-team and colleagues Propose and More ❯

extensive and deep expertise in the following Application Development areas: Expertise in application architecture using modern technologies such as cloud native development, 12 factor Apps, microservices, serverless, API management, Kafka, etc. Deep knowledge of Microservices, Containers, REST APIs development, API Management tools (e.g. MuleSoft, Apigee), Kafka Solution architect with broad expertise in a wide range of digital technologies More ❯