51 to 75 of 132 Kafka Jobs in London

TDD, and system design. What We're Looking For: Strong experience with Python, Spark, Scala, and Java in a commercial setting. Solid understanding of distributed systems (e.g. Hadoop, AWS, Kafka). Experience with SQL/NoSQL databases (e.g. PostgreSQL, Cassandra). Familiarity with orchestration tools (e.g. Airflow, Luigi) and cloud platforms (e.g. AWS, GCP). Passion for solving complex More ❯

TDD, and system design. What We're Looking For: Strong experience with Python, Spark, Scala, and Java in a commercial setting. Solid understanding of distributed systems (e.g. Hadoop, AWS, Kafka). Experience with SQL/NoSQL databases (e.g. PostgreSQL, Cassandra). Familiarity with orchestration tools (e.g. Airflow, Luigi) and cloud platforms (e.g. AWS, GCP). Passion for solving complex More ❯

Regulated environment experience: familiarity with fintech or other domains where compliance, reliability, and security are critical. Tech: Backend : NestJS (Node.js), TypeScript Infrastructure : AWS (ECS, RDS/Postgres), Docker Messaging : Kafka We don't expect you to know all of these already. What matters is solid engineering fundamentals and the eagerness to quickly get up to speed. Our Values: Pride More ❯

in one of Python, Scala or Java, with strong experience in Big Data technologies such as: Spark, Hadoop etc. Practical knowledge of building Real Time event streaming pipelines (eg, Kafka, Spark Streaming, Kinesis). Proven experience developing modern data architectures including Data Lakehouse and Data Warehousing. A solid understanding of CI/CD practices, DevOps tooling, and data governance More ❯

specialist, design and architecture experience - 7+ years of external or internal customer facing, complex and large scale project management experience - 5+ years of database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) experience - 3+ years of cloud based solution (AWS or equivalent), system, network and operating system experience PREFERRED QUALIFICATIONS - AWS experience preferred, with proficiency in a wide range of More ❯

s nothing we can't achieve in the cloud. BASIC QUALIFICATIONS - 7+ years of technical specialist, design and architecture experience - 3+ years of database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) experience - 7+ years of consulting, design and implementation of serverless distributed solutions experience - 3+ years of software development with object oriented language experience - 3+ years of cloud based More ❯

5+ years of experience in cloud architecture and implementation - Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience - Experience in database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) - Experience in consulting, design and implementation of serverless distributed solutions - Experience in software development with object oriented language PREFERRED QUALIFICATIONS - AWS experience preferred, with proficiency in a wide More ❯

for? 5+ years of experience in engineering Strong node.js knowledge AWS or similar cloud experience Kubernetes, Helm and Docker knowledge Experience with Postgres/Mysql, RabbitMq/Nats/Kafka Strong system design and problem solving skills, we often deal with the "unknown" Strong communication skills, we often need to orchestrate projects with 20+ teams You are hands-on More ❯

developing talent and fostering a culture of learning and ownership Nice to Have Experience with Data Mesh or Data Lake architectures Familiarity with Kubernetes , Docker, and real-time streaming (Kafka, Kinesis) Exposure to ML engineering pipelines or MLOps Interested? If you're ready to lead a team at the forefront of data innovation in a mission-driven scale-up More ❯

ideally within large-scale, complex environments. Deep technical proficiency in: Languages: Java 17+ (Java 21 preferred) Frameworks: Micronaut (preferred), Spring Boot Testing: JUnit, Mockito Build Tools: Gradle Data & Messaging: Kafka, MongoDB APIs: GraphQL Federation, REST Infrastructure & Observability: Terraform, OpenTelemetry, Dynatrace Please get in touch asap for a chance to work on this amazing project. More ❯

Rules, ACLs, MID servers Exposure to Azure DevOps, PowerShell, Azure networking & IaaS/PaaS tools Experience with infrastructure-as-code and platform monitoring tools Understanding of third-party integrations (Kafka, Skytap, etc.) Why apply? This is a fantastic opportunity to join a forward-thinking organisation that values innovation, flexibility, and collaboration. You'll have a real impact on the More ❯

modelling or entity-component-system (ECS) frameworks. Background in writing production-quality code and scaling models to work with very large datasets. Knowledge of distributed systems and data engineering (Kafka, pipelines, metadata management). Experience with containerised deployments (Docker, Kubernetes, Helm). Strong collaboration skills, with a focus on sharing knowledge and working as part of a team. A More ❯

Terraform A collaborative mindset and a passion for mentoring and developing others Comfortable balancing technical decisions with business needs Nice to have: experience with Data Mesh, real-time streaming (Kafka/Kinesis), or MLOps frameworks.What’s on Offer Competitive salary and equity Hybrid working model (1 day/week in central London office) Private medical insurance Generous holiday allowance More ❯

data products. Ensure solutions meet governance, compliance, and security standards. Skills & Experience: Proven experience as a Data Solution Architect or similar senior-level data architecture role. Strong knowledge of Kafka, Confluent, Databricks, Unity Catalog, and cloud-native architecture. Skilled in Data Mesh, Data Fabric, and product-led data strategy design. Experience with big data tools (e.g., Spark), ETL/ More ❯

internal learning sessions, tech talks, and shared documentation. The Candidate You might be a good fit if you have experience with: • Building ETL/ELT pipelines using tools like Kafka, dbt, or custom frameworks. • Working with structured and unstructured data at scale. • Backend development in Python (or similar), and familiarity with data APIs. • Cloud data platforms (e.g., AWS Redshift More ❯

specialist, design and architecture experience - 7+ years of external or internal customer facing, complex and large scale project management experience - 5+ years of database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) experience - 3+ years of cloud based solution (AWS or equivalent), system, network and operating system experience PREFERRED QUALIFICATIONS - AWS experience preferred, with proficiency in a wide range of More ❯

We’re looking for a mid-level Full Stack C# Developer with excellent communication skills and the ability to join a project mid flight and hit the ground running. Please note this role has been deemed outside IR35 and requires More ❯

tests very good knowledge of Application Servers WebSphere WebLogic or JBoss very good knowledge of Oracle database knowledge of Docker or Kubernetes environment knowledge of Linux environment knowledge of Kafka is an advantage excellent problem solving teamworking and time management skills payment expertise see next column Optional knowledge of PostgreSQL JIRA Bitbucket XCT eg SWIFT MTMX Cross Border will More ❯

strong governance and reporting across service performance and risk areas. Technical Skills & Experience: Proven experience in production support , service management , or platform operations within financial services. Strong understanding of Kafka , AWS , and Stream Sets Solid grasp of security principles , vulnerability management , and compliance frameworks . Experience working in DevOps environments and managing cross-functional engineering teams. Excellent communication and More ❯

and Project Office to ensure project delivery Mentoring and providing leadership to developers What you'll bring: Strong backend development experience with Node.js (5+ years) SQL experience; RabbitMQ/Kafka and MongoDB/NoSQL a plus Technical leadership or mentorship experience (line management beneficial but not essential) Background in small to medium-sized organisations preferred Ability to balance hands 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 ❯

7+ years of architecture/design and implementation of cloud-based solutions - 7+ years of consulting or professional services experience - 5+ years of database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) experience - 5+ years of software development with object oriented language experience - Bachelor's degree, or 7+ years of professional or military experience PREFERRED QUALIFICATIONS - Experience leading the architecture 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 ❯

will extensive and deep Expertise in 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 wide range of digital technologies in More ❯