1 to 25 of 51 DemandTrendPermanent Kafka Jobs in the South East

skills and a pragmatic approach to delivering solutions. Desirable Experience with containerisation and orchestration tools such as Docker and Kubernetes. Familiarity with event-driven architecture and message brokers (e.g., Kafka, RabbitMQ). Knowledge of front-end performance optimisation and accessibility standards. Exposure to machine learning pipelines or data engineering workflows. Prior experience working in startup environments or high-growth More ❯

pride in the software you produce. Apache Maven Desirable Skills and Experience Industry experience of any of the following technologies/skills would be beneficial: Elasticsearch Docker Apache Hadoop, Kafka or Camel. Javascript Knowledge of both Windows and Linux operating systems. Kubernetes Nifi Nsq Apache Ignite Arango Why BAE Systems? This is a place where you’ll be able More ❯

areas directly relevant to data engineering responsibilities and tasks Proven project experience developing and maintaining data warehouses in big data solutions (Snowflake) Expert knowledge in Apache technologies such as Kafka, Airflow, and Spark to build scalable and efficient data pipelines Ability to design, build, and deploy data solutions that capture, explore, transform, and utilize data to support AI, ML More ❯

React, TypeScript, and JavaScript Strong understanding of WebSocket integration, low-latency data streaming, and threading Experience troubleshooting data-heavy UIs and optimising load times Familiarity with tools like Redis, Kafka, and cloud platforms such as Azure or AWS Proficient in Git and modern source control workflows Knowledge of performance diagnostics (e.g. Google PageSpeed Insights) and responsive UI optimisation Nice More ❯

controls: firewalls, VPNs, NAT gateways; understanding of zero-trust and ACLs; experience with Keycloak and NGINX reverse proxy Experience with Python and FastAPI; understanding of data/messaging systems: Kafka, MySQL, MongoDB, PostgreSQL Experience with containers and orchestration: Docker; Kubernetes networking and service mesh; RKE2 Experience with streaming protocols: RTMP, WebRTC, HLS, MPEG-DASH Experience with monitoring/telemetry More ❯

company are profit making, have team members globally with over 500 employees, very established and very reputable. Other key skills: Rust, TDD, BDD, Microservices, AWS, Distributed Systems, PY03, SQL, Kafka, Docker, Kubernetes, Tokio, Async Apply for immediate consideration for this excellent Rust Engineer opportunity! Understanding Recruitment is acting as an employment agency for this Rust Engineer vacancy. 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 ❯

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 ❯

drives tangible business value early and often. Desirables: Experience with modern front-end frameworks and API integration (React, Vue, Angular) Familiarity with message-based architectures and tools like RabbitMQ, Kafka, or Kinesis Demonstrable experience building LLM backed systems and applications Understanding of regulatory and compliance frameworks (e.g., PCI, ISO 27001, SOC 2, GDPR) and how to apply them in More ❯

Architect or similar senior role. Strong consulting background with full lifecycle delivery experience. Ability to lead architectural strategy and oversee implementation. Architectural Expertise Deep knowledge of event-driven architectures (Kafka, Confluent). Experience with data lakes/lakehouses (Databricks, Unity Catalog). Familiarity with Data Mesh, Data Fabric, and product-led data strategies. Expertise in cloud platforms (AWS, Azure 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

of Linux operating systems and scripting languages (e.g. Python) Knowledge of infrastructure as code and container technologies (e.g. Puppet, Docker) Knowledge of COTS integration technologies (e.g. Apache Camel, Apache Kafka) Experience of Atlassian tools (e.g. Jira, Confluence) Experience with public cloud platforms (e.g. AWS) Experience of the complete system life cycle from problem definition through to deployment Understanding of 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯