19 of 19 Permanent Kafka Jobs in the North of England

pipeline orchestration tools Containerisation (Docker, EKS, AKS, Kubernetes) Proficiency in CI/CD principles and tools Familiarity with open-source data tools (e.g., Spark, Kafka, PostgreSQL) Infrastructure as Code (Terraform, Ansible) Air-gapped development Automation Client/stakeholder management Public sector domain understanding Technical architecture Experience: You will have ...

Airflow, AWS Step Functions or Apache NiFi. Cloud platform experience across AWS, Azure and/or GCP. Knowledge of messaging and streaming technologies including Kafka, AWS SQS or equivalent cloud-native services. Strong understanding of SQL and NoSQL databases. Experience with modern data storage technologies including HDFS, Iceberg, Elasticsearch ...

technical discussions. Support testing, deployment and operational activities. Follow secure software development and DevOps practices. Essential Skills & Experience (Must Have) Java Spring Boot Kafka MongoDB API development and integration Basic understanding of Docker images and containers Unit Testing/TDD Gherkin-style BDD testing, preferably using Cucumber CI/ ...

Machine Learning – Understanding of AI/ML concepts, experience with LLMs, prompt engineering, or integrating AI capabilities into applications • Data Technologies – Experience with Kafka, PySpark, Parquet and Avro data formats, Apache Airflow for workflow management, or Streamlit for building interactive data applications • Advanced Data Management – Strong SQL design, query ...

S3. API, Integration & Security: RESTful APIs, Apollo GraphQL; AWS IAM, token-based authentication, external identity providers. Data & Messaging: PostgreSQL, Apache Kafka, document stores. Engineering & Operations: CI/CD pipelines; ELK stack; Prometheus, Grafana. Additional Info Hybrid working : The places that you work from day to day will vary according ...

improve application performance Strong understanding of secure coding practices Exposure to the following would be advantageous but not essential: - Messaging/streaming technologies (Kafka, SQS) Serverless technologies (e.g., AWS Lambda) Monitoring/logging tools (ELK, Splunk, Dynatrace) ORM technologies (JPA, Hibernate) API documentation tools (e.g., Swagger/OpenAPI) Test ...

both systems and teams Confidence in collaborating with technical and non-technical stakeholders Additional experience (nice to have) Exposure to event-driven architectures (e.g. Kafka, RabbitMQ, SNS/SQS) Knowledge of Domain-Driven Design (DDD) Experience building resilient, scalable systems Familiarity with Infrastructure as Code tools such as Terraform ...

knowledge of OOP and data structures), experience in Agile environments, exposure to banking/financial sector projects, and familiarity with messaging systems like Apache Kafka or IBM MQ. ' We are a Disability Confident Employer: Capgemini is proud to be a Disability Confident Employer (Level 2) under the UK Government ...

data pipelines and distributed data platforms - Knowledge of AWS, Azure or GCP - Experience with Python, Java or Scala - Exposure to technologies such as Spark, Kafka, Airflow, dbt or Hadoop - Strong analytical and problem-solving skills - Excellent communication and stakeholder management - An entrepreneurial mindset with the desire to help build ...

environments. Hard Skills Experience in data engineering, ideally aerospace/defence or industrial sectors. ETL/ELT tools (Airflow, Azure, Microsoft SSIS), streaming (Spark, Kafka). Strong Python and SQL; C++, C#, or MATLAB a plus. Databases: PostgreSQL, SQL Server, Oracle, Snowflake, Iceberg, TimescaleDB. Data Platform Capabilities: Low-Code ...

software development background with hands‐on experience in platform, infrastructure, or data‐centric environments Deep expertise in event‐driven architectures, streaming technologies (e.g. Apache Kafka, Flink, and/or Pulsar) Proficiency across full stack technologies (Java, .Net, React) with the ability to guide technical decisions Knowledge of hybrid/ ...

integrate, transform and manage data effectively. Strong experience building and delivering data pipelines using cloud platforms (AWS preferred) and big data tools like Kafka or Spark. Confident using Python (or PySpark) and SQL to process, transform and analyse data, and able to guide others in doing the same. Good ...

integrate, transform and manage data effectively. Strong experience building and delivering data pipelines using cloud platforms (AWS preferred) and big data tools like Kafka or Spark. Confident using Python (or PySpark) and SQL to process, transform and analyse data, and able to guide others in doing the same. Good ...

integrate, transform and manage data effectively. Strong experience building and delivering data pipelines using cloud platforms (AWS preferred) and big data tools like Kafka or Spark. Confident using Python (or PySpark) and SQL to process, transform and analyse data, and able to guide others in doing the same. Good ...

that power analytics and AI-driven decision making. What youll be doing Building and optimising scalable data pipelines using Java (primary) and technologies like Kafka, Flink, or Spark Developing real-time streaming solutions and event-driven architectures using AWS services (Kinesis, MSK, Lambda, Glue) Contributing to data architecture, modelling … Strong experience in data engineering or large-scale data platforms (3+ years) Proficiency in Java or Python Hands-on experience with streaming technologies (Kafka/Flink preferred) Good understanding of distributed systems and cloud platforms (AWS ideally) Experience with CI/CD, Docker, Kubernetes, and modern DevOps practices ...

engineering experience, operating at Principal level Deep Java (Spring Boot) expertise in microservices environments Strong architecture experience across scalable, distributed systems Experience with messaging (Kafka/MQ), data modelling, and APIs Solid DevOps: CI/CD, containers, cloud platforms Hands‐on AI/ML experience and integrating AI into … Background in financial services (ideally Corporate Actions or post‐trade) Ability to influence without authority in complex organisations Tech stack Java, Spring Boot, Angular, Kafka, Oracle, Docker, CI/CD tooling A rare opportunity to build a critical platform from scratch while operating at the highest level of technical ...

tools Required Experience 5+ years in professional Java backend development Core Tech Stack Java, Spring Boot, JPA/Hibernate, MySQL (or other RDBMS), Apache Kafka, Linux Preferred/Plus Tech Directed Acyclic Graphs, Graph Databases, FFmpeg, CI/CD systems, Spring Cloud, Swagger, Snowflake, Apache Doris, Debezium Application Materials … Management: Solid understanding of MySQL (or other major RDBMS) along with practical query‐tuning and optimisation experience. Data Streams: Hands‐on experience with Apache Kafka and building Change Data Capture (CDC) pipelines. Optimization: Proficient in Java performance profiling, memory management, and advanced debugging techniques. Environment: Comfortable working in Linux ...

initiatives. This is an opportunity to work on large-scale projects, collaborate with international teams, and develop your expertise across MuleSoft, AWS, Kafka, APIs, and cloud technologies within a highly supportive environment that offers genuine long-term career progression. What You'll Be Doing Designing, developing, and supporting integrations … RESTful APIs Experience working with SQL and databases Exposure to AWS services such as S3, SNS, SQS, IAM, CloudWatch, or EventBridge Experience working with Kafka or similar messaging technologies Understanding of OAuth, JWT, and API security principles Strong communication skills and fluent English Desirable Experience Azure DevOps Integration certifications ...

Software Architect – Shape the Future of a High-Scale Platform Kafka, SQL, C#, .NET, Golang, GCP Are you ready to define and drive the architecture of a platform built to handle millions of transactions per second, powering international growth and long-term scalability? We’re embarking on a full … Define solution architecture and technical strategy for a complex, high-scale platform Own end-to-end design across distributed, event-driven systems (Kafka, SQL, cloud-native) Partner with product, engineering, and business stakeholders to translate vision into architecture Lead technical planning, standards, and best practices across multiple teams Provide ...