101 to 125 of 321 Kafka Jobs in the UK

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 »

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 »

have the following skills: Experience developing bespoke built enterprise scale cloud-native applications Strong experience with asynchronous technologies such as MQ/MQTT/Kafka Strong experience with API development and technologies Experienced advocate for practices such as Test Driven Development Experience with greenfield/exploratory development Experience with … have: Experience with observability and monitoring tools such as Datadog Familiarity with polyglot persistence and experience with a NoSql DB especially DocumentDB Experience with Kafka, HiveMQ, ElasticSearch Infrastructure as code experience using CDK/terraform If you are passionate about bringing innovation to the projects you work on and more »

very small amount of scripting work) Have public cloud experience with AWS or other cloud providers Have an understanding of Apache products such as Kafka and Flake Good knowledge of development using CI/CD Bonus points if you knowledge of: Web products Financial markets They are a very more »

our engineering teams to support the orchestration of our ETL pipelines using Airflow and manage our tech stack including Python, Next.js, Airflow, PostgreSQL MongoDB, Kafka and Apache Iceberg. Optimize infrastructure costs and develop strategies for efficient resource utilization. Provide critical support by monitoring services and quickly resolving production issues. more »

S3, Lambda, Aurora, Docker/Kubernetes in implementation and configuration is highly desirable. Hands-on experience in designing and implementing AWS cloud solutions eg. Kafka or similar data streaming components. Bonus Skills: Familiarity with C# No sponsorship required to work in the UK more »

role Passion for data analytics Strong understanding of order book mechanics Java SQL REST and WS APIs experience Has built event driven apps using Kafka AWS or Google Cloud Linux, Docker a plus Experience in financial services *Rust experience is a nice to have* If you or anyone else more »

access, and data storage techniques. Excellent problem-solving skills and the ability to think algorithmically. Desirable Skills: Knowledge of big data technologies (Hadoop, Spark, Kafka) is highly desirable. Familiarity with data governance and compliance requirements. more »

Messaging systems Python Java Databases and SQL Data warehousing Data modeling Data governance Cloud platforms and services (e.g., AWS) Big data technologies (e.g., Spark, Kafka) Continuous Data Integrity/Testing platforms If you are looking for a new path where you get to work on some amazing projects and more »

needed: Proficiency in .Net (C#, ASP.Net, VB, .Net Core, WinForms). Experience with MS SQL Server and T-SQL. Familiar with Asynchronous Messaging Systems (Kafka, RabbitMQ, AWS, Azure MH). Clean coding practices. Responsibilities: Maintaining and optimizing codebase Collaborating with other teams Contributing to technical improvements and innovations Training more »

You’ll Bring: Managing large software projects and systems across different platforms. C#, Java, PHP, Python, Node.js/Typescript Familiarity with AWS Cloud, Kubernetes, Kafka, and data meshes. (Bonus Points: Experience with affiliate publishing platforms and machine learning.) Interview Process: Initial Discussion Technical Presentation Peer Interview Final Interview If more »

Engineering background (Java and/or Golang preferred) Strong experience with cloud computing ( GCP preferred) Real-Time Data Processing and Application streaming experience with Kafka Experience with Docker and container orchestration tools like Kubernetes You'll appreciate and acknowledge the impact of system design decisions on scalability, resilience, and more »

design-focused and test-driven approaches Exposure to Front-end development exposure, ideally with Angular and TypeScript Exposure to high scale distributed technology like Kafka, Mongo, Ignite, Redis Exposure to building microservices and APIs ideally with REST, Kafka or gRPC Great analytical, problem-solving and communication skills Some more »

Key Requirements: Experienced in building data pipelines, ETL processes and data warehouses. Strong Python experience Experienced with AWS and services like S3. Experienced with Kafka for data streaming. Familiarity with BI reporting tools Good working experience with Airflow, PySpark and Apache Beam Worked with Java for building data applications more »

OO PHP, MySQL, JavaScript, jQuery MVC frameworks, preferably Laravel/Symfony Knowledge of RESTful API principles Experience leading an Agile team. Microservice architecture Docker KAFKA/event driven architecture Unit testing/TDD The Technical Lead role comes across with a range of benefits that include working from home more »

Nice to have, but not required Experience writing systems on, or tooling for, AWS Experience working at an early-to-medium-stage tech startup Kafka and Snowflake Experience integrating with 3rd-party APIs Experience with standard tooling for big data (much larger than a laptop, much smaller than Google more »

Java or Kotlin, with a focus on constructing contemporary microservices. A robust grasp of Test-Driven Development (TDD) methodologies. Prior hands-on experience with Kafka and streaming technologies. In addition to the above, you'll enjoy a generous training allocation, frequent company gatherings, and the flexibility to embrace remote more »

Highly desirable but not required: Experience with automated testing and continuous integration Proficiency in Python, Perl, and other scripting languages Experience integrating ION with Kafka Banking experience is a plus There are multiple roles available please apply to this advert or email me directly sam.burks@nicollcurtin.com more »

or Masters degree in Computer Science from a leading university Experience working in FinTech or financial markets and experience handling financial data Experience with Kafka, Octopus Deploy and/or AWS (desirable) Excellent communication skills and ability to interact directly with Traders, Quants and Senior Business Stakeholders * You must more »

users and stakeholders every single day. You should have strong programming skills in one language (Java, Python, C#, etc.), and experience with distributed systems (Kafka is preferred but not essential). Your team values innovation and investment in various new technologies to achieve various business goals. The Risk Engineering more »

experience with java or similar Knowledge, Skills and Experience Excellent communication skills Time management and independent research abilities Creativity and model evaluation Experience with kafka Both “either/or” requirements Experience with business python (as opposed to scientific python) PhD or independent, unguided research project YOU MUST HAVE THE more »

code base, et al. Qualifications/Skills required Developing bespoke-built, enterprise-scale, cloud-native applications Asynchronous technologies such as MQ/MQTT/Kafka API development and technologies Advocate for practices such as Test Driven Development Greenfield/Exploratory development, et al. Why work through Contechs? Contechs is more »

steadfast commitment to security. As a FinTech Cloud Engineer, you'll be instrumental in defining the future of finance." Skills Strong Golang Experience Postres, Kafka and Kubernetes If you're passionate about FinTech, cloud engineering, and pioneering the future of finance, I want to hear from you! Email Benjamin.smith more »

clouds. The successful Lead Data Engineer will have: Experience leading a Data Engineering team. Extensive working experience with GCP, SQL and DBT. Proficient in: Kafka, Dataform, Airflow, Tableau, PowerBI, Redshift, Snowflake, Terraform and BigQuery. What's in it for the successful Lead Data Engineer: Hybrid working for a better more »

intricacies of Postgres with ease. 🌐 Distributed Systems: Navigate failure modes and mitigations with finesse. 🔄 Message and Event Streaming Systems: Dive into the world of Kafka and distributed streaming. ☁️ Cloud-Native Technologies: Explore observability tools and manage SLOs/SLAs effortlessly. 🔒 Cybersecurity Best Practices: Embrace secure-by-design principles for more »