26 to 50 of 119 Kafka Jobs in London

Hands-on Software Developer with strong Java and Python experience *Strong AWS cloud infrastructure and containerisation (Docker/Kubernetes) *Skilled in building and managing data ingestion and processing pipelines (Kafka/Spring Batch) *Looking to lead a team in an office-based role in London. Reference Number: BBBH 254621 To apply for this role or to be considered for More ❯

Hands-on Software Developer with strong Java and Python experience*Strong AWS cloud infrastructure and containerisation (Docker/Kubernetes)*Skilled in building and managing data ingestion and processing pipelines (Kafka/Spring Batch)*Looking to lead a team in an office-based role in London. Reference Number: BBBH 254621 To apply for this role or to be considered for More ❯

f2b processes. Hands-on experience with dynamic scalability; cloud deployment (EKS/Nomad), container/docker deployment, GRPC services, Cloud based services (Prometheus, Elastic Search, databases, Redis, ), Experience with Kafka or event processing thru message bus, Experience with Workflow/Scheduling/State management More ❯

and SageMaker Understanding of DevOps processes and tools: CI/CD, Docker, Terraform, and monitoring/observability Bonus: experience with vector databases, semantic search, or event-driven systems like Kafka Additional Information Were a community here that cares as much about your life outside work as how you feel when youre with us. Because your job shouldnt take over More ❯

Data Engineer, Tech Lead, Data Engineering Manager etc. Proven success with modern data infrastructure: distributed systems, batch and streaming pipelines Hands-on knowledge of tools such as Apache Spark, Kafka, Databricks, DBT or similar Experience building, defining, and owning data models, data lakes, and data warehouses Programming proficiency in Python, Pyspark, Scala or Java. Experience operating in a cloud More ❯

Data Engineer, Tech Lead, Data Engineering Manager etc. Proven success with modern data infrastructure: distributed systems, batch and streaming pipelines Hands-on knowledge of tools such as Apache Spark, Kafka, Databricks, DBT or similar Experience building, defining, and owning data models, data lakes, and data warehouses Programming proficiency in Python, Pyspark, Scala or Java. Experience operating in a cloud More ❯

Commercial experience with Spark, Scala, and Java (Python is a plus) Strong background in distributed systems (Hadoop, Spark, AWS) Skilled in SQL/NoSQL (PostgreSQL, Cassandra) and messaging tech (Kafka, RabbitMQ) Experience with orchestration tools (Chef, Puppet, Ansible) and ETL workflows (Airflow, Luigi) Familiarity with cloud platforms (AWS, GCP) and monitoring tools (ELK stack) Proven problem-solving mindset and More ❯

Commercial experience with Spark, Scala, and Java (Python is a plus) Strong background in distributed systems (Hadoop, Spark, AWS) Skilled in SQL/NoSQL (PostgreSQL, Cassandra) and messaging tech (Kafka, RabbitMQ) Experience with orchestration tools (Chef, Puppet, Ansible) and ETL workflows (Airflow, Luigi) Familiarity with cloud platforms (AWS, GCP) and monitoring tools (ELK stack) Proven problem-solving mindset and More ❯

Hands-on Software Developer with strong Java and Python experience *Strong AWS cloud infrastructure and containerisation (Docker/Kubernetes) *Skilled in building and managing data ingestion and processing pipelines (Kafka/Spring Batch) *Looking to lead a team in an office-based role in London. Reference Number: BBBH 254621 To apply for this role or to be considered for More ❯

tools to streamline development and debugging. Strong grasp of algorithmic thinking and performance optimisation. Proficiency with SQL and NoSQL databases such as PostgreSQL and Cassandra. Experience with systems like Kafka or RabbitMQ. Ability to build and manage ETL pipelines using tools like Airflow. This role is an urgent requirement. There are limited interview slots left. If interested, send an More ❯

tools to streamline development and debugging. Strong grasp of algorithmic thinking and performance optimisation. Proficiency with SQL and NoSQL databases such as PostgreSQL and Cassandra. Experience with systems like Kafka or RabbitMQ. Ability to build and manage ETL pipelines using tools like Airflow. This role is an urgent requirement. There are limited interview slots left. If interested, send an More ❯

Education Cloud-Student Systems Implementation Desirable Experience Knowledge of student lifecycle processes in Higher Education and relevant data domains. Knowldge of event-driven and message-based architectures (Event Hub, Kafka, or Service Bus) Experience with monitoring and observability tools like Azure Monitor, Application Insights, and Log Analytics. Awareness of data security, GDPR, and compliance in educational or public sector More ❯

infrastructure or data platforms, with proven ability to solve complex distributed systems challenges independently Expertise in large-scale data processing pipelines (batch and streaming) using technologies such as Spark, Kafka, Flink, or Beam Experience designing and implementing large-scale data storage systems (feature stores, timeseries databases, warehouses, or object stores) Strong distributed systems and infrastructure skills (Kubernetes, Terraform, orchestration More ❯

infrastructure or data platforms, with proven ability to solve complex distributed systems challenges independently Expertise in large-scale data processing pipelines (batch and streaming) using technologies such as Spark, Kafka, Flink, or Beam Experience designing and implementing large-scale data storage systems (feature stores, timeseries databases, warehouses, or object stores) Strong distributed systems and infrastructure skills (Kubernetes, Terraform, orchestration More ❯

training opportunities and social benefits (e.g. UK pension schema) What do you offer? Strong hands-on experience working with modern Big Data technologies such as Apache Spark, Trino, Apache Kafka, Apache Hadoop, Apache HBase, Apache Nifi, Apache Airflow, Opensearch Proficiency in cloud-native technologies such as containerization and Kubernetes Strong knowledge of DevOps tools (Terraform, Ansible, ArgoCD, GitOps, etc. More ❯

Experience building and maintaining data pipelines in a live environment. Data Storage Solutions: Familiarity with data lakes, warehousing, and other data storage patterns. Advanced Tools: Experience with tools like Kafka, Jenkins, Athena, or Spark. This role will require 4 days per week onsite in the office in Camden , this is not optional and you must be open to this More ❯

and advocate for scalable, efficient data processes and platform enhancements Tech Environment: Python, SQL, Spark, Airflow, dbt, Snowflake, Postgres AWS (S3), Docker, Terraform Exposure to Apache Iceberg, streaming tools (Kafka, Kinesis), and ML pipelines is a bonus What We're Looking For: 5+ years in Data Engineering, including 2+ years in a leadership or management role Experience designing and More ❯

plus. Familiarity with data warehousing concepts and tools. Understanding of financial data structures, compliance, and reporting requirements. Excellent problem-solving and communication skills. Experience with tools like Apache Airflow, Kafka, or Snowflake. Knowledge of data governance and metadata management. Exposure to machine learning pipelines or financial modeling is a bonus. About Capgemini Capgemini is a global business and technology More ❯

Data Engineer, Tech Lead, Data Engineering Manager etc. Proven success with modern data infrastructure: distributed systems, batch and streaming pipelines Hands-on knowledge of tools such as Apache Spark, Kafka, Databricks, DBT or similar Experience building, defining, and owning data models, data lakes, and data warehouses Programming proficiency in Python, Pyspark, Scala or Java. Experience operating in a cloud More ❯

Data Engineer, Tech Lead, Data Engineering Manager etc. Proven success with modern data infrastructure: distributed systems, batch and streaming pipelines Hands-on knowledge of tools such as Apache Spark, Kafka, Databricks, DBT or similar Experience building, defining, and owning data models, data lakes, and data warehouses Programming proficiency in Python, Pyspark, Scala or Java. Experience operating in a cloud More ❯

understanding of data structures and algorithms. Excellent problem-solving skills and attention to detail. Desirable Skills & Experience: Previous experience with Docker and Kubernetes. Knowledge of message queuing systems like Kafka or RabbitMQ. Familiarity with Agile methodologies. Experience working in a DevOps environment. Call to Action: If you are a talented Go Integration Developer looking to make an impact in More ❯

stakeholders to translate business needs into technical solutions Stay abreast of emerging technologies and drive innovation in platform design Tech Stack: Node.js, JavaScript, SQL (essential) Experience with RabbitMQ/Kafka and MongoDB (desirable) What We're Looking For: Strong backend expertise with leadership and mentorship experience Preference for candidates with full-stack exposure but a clear backend focus Comfortable 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 ❯

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 ❯