26 to 50 of 67 Kafka Jobs in the South East

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 ❯

mindset.You'll also have: Proven experience in PHP or Python development, with strong knowledge of frameworks like Laravel and design patterns such as MVC Experience working with microservices, Apache Kafka, and event-driven architecture A track record of mentoring developers and leading technical initiatives in Agile environments Familiarity with DevOps practices, CI/CD pipelines, and tools like Git More ❯

Kubernetes, Docker or Terraform. Experience with observability stacks (Grafana, Prometheus, OpenTelemetry). Familiarity with Postgres. Interest in data-privacy, AdTech/MarTech or large-scale data processing. Familiarity with Kafka, gRPC or Apache Spark. As well as working as part of an amazing, engaging and collaborative team, we offer our staff a wide range of benefits to motivate them More ❯

based data solutions. Key Responsibilities: Lead cross-functional teams to deliver scalable data solutions across cloud platforms Architect data lakes, lakehouses, and event-driven systems using tools like Databricks, Kafka, and Confluent Apply Data Mesh and Data Fabric principles to modern data architectures Define and implement data product strategies with a product-led mindset Ensure compliance with data governance 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 ❯

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 ❯

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 ❯

Data Science, Engineering, or a related field. Strong programming skills in languages such as Python, SQL, or Java. Familiarity with data processing frameworks and tools (e.g., Apache Spark, Hadoop, Kafka) is a plus. Basic understanding of cloud platforms (e.g., AWS, Azure, Google Cloud) and their data services. Knowledge of database systems (e.g., MySQL, PostgreSQL, MongoDB) and data warehousing concepts. More ❯

or contributing to a Centre of Excellence team Consulting experience or a strong consulting mindset is highly desirable Desirable Attributes Experience with event-driven architectures and messaging systems (e.g., Kafka) Exposure to Infrastructure as Code (e.g., Terraform, Ansible) Familiarity with observability tools and performance tuning Ability to mentor junior engineers and lead backend design initiatives Engagement Model Outside IR35 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 ❯

and modular code suitable for production environments. Desirable Skills or Knowledge Familiarity with AMO physics or quantum machine learning. Experience with MLOps best practices. Knowledge of systems like Apache Kafka, MQTT or real-time data pipelines. Experience with cloud platforms (AWS, Azure, GCP). Deep expertise in time series modelling techniques (e.g., ARIMA, VAR, Prophet, LSTM). Solid grasp More ❯

to improve operational efficiency and service delivery Act as the sole DevOps Engineer within the squad, providing end-to-end engineering support Essential Skills & Experience: CI/CD Terraform Kafka Kubernetes (plus experience migrating away from Kubernetes to serverless) GitLab GitHub Actions (and ideally GitHub Enterprise) AWS services: Lambda, CloudWatch, S3, IAM, Athena, RDS Strong stakeholder management and communication More ❯

stakeholder communication * Currently DV (Developed Vetting) Cleared Bonus if you have: DevSecOps, Agile or CI/CD experience, or exposure to tools like Azure, AWS, Kubernetes, NodeJS, MongoDB, or Kafka Do you want to work on some of the best projects in the MOD & Defence world for a high-growth company with long-term project pipelines and career opportunities More ❯

stakeholder communication * Currently DV (Developed Vetting) Cleared Bonus if you have: DevSecOps, Agile or CI/CD experience, or exposure to tools like Azure, AWS, Kubernetes, NodeJS, MongoDB, or Kafka Do you want to work on some of the best projects in the MOD & Defence world for a high-growth company with long-term project pipelines and career opportunities More ❯

functionality in a SaaS environment (via infrastructure as code) with experience of Spark, Python and a breadth of database technologies Event-driven and distributed systems, using messaging systems like Kafka, AWS SNS/SQS and languages such as Java and Python Data Centric architectures, including experience with Data Governance/Management practices and Data Lakehouse/Data Intelligence platforms. More ❯

Azure and Azure SQL Database Proficiency with Docker and containerisation tools Experience working with APIs for data extraction Desirable Skills Familiarity with big data technologies such as Spark and Kafka Experience with machine learning frameworks like TensorFlow or PyTorch Knowledge of data visualisation tools such as Power BI or Tableau Strong understanding of data modelling and database optimisation Experience 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 ❯

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 ❯

XS, ST 2022, ST 2110) Ability to use test equipment/software to analyse MPEG streams Experience of public cloud platform architecture/design Experience with either Influx, Redis, Kafka, Grafana, Kibana Our Values and Benefits Techex has an impressive history with extremely high customer engagement and satisfaction. As a business we have developed consistently through our stellar reputation More ❯

opportunity to leave your mark on something transformative. Design, develop and maintain user interfaces and web applications (Angular, React) Create and maintain RESTful APIs and contribute to EDAs (Node, Kafka) Implement authentication, authorization and security measures Translate UX designs or wireframes into efficient, reusable code Actively participate in CI/CD strategy with wider-team and colleagues Propose and More ❯

modelling (e.g., Archimate), and cloud platforms (AWS, Azure) Hands-on experience with DevSecOps tooling, automation platforms (Power Platform, UiPath), and secure software development practices Familiarity with data integration pipelines (Kafka, Apache Airflow), API management, and scripting (Python) Strong understanding of software design patterns including microservices, cloud-native, and OO design Eligible and willing to undergo high-level security clearance More ❯

for edge or virtualised systems Familiarity with ML infrastructure – deploying and managing LLMs, vector stores, or transcription models Flexibility to adapt infrastructure to Defence compliance regimes (Bonus) Knowledge of Kafka or message-driven orchestration pipelines (Bonus) Experience working in secure domains such as Defence, aerospace, or national security Why This Project? This is not just infrastructure for another SaaS More ❯

constructive technical feedback. Desirables: Experience designing solutions in multi-cloud or hybrid-cloud environments. Advanced knowledge of Kubernetes networking and service mesh technologies (e.g., Istio, Calico). Exposure to Kafka and its ecosystem (Kafka Connect, ksqlDB). Expertise in debugging complex distributed systems. Familiarity with relational databases (MySQL, PostgreSQL, Oracle). Benefits: 25 days holiday and increases with More ❯

data processing Strong computer science fundamentals Expertise in CI/CD and automation Proficiency in languages such as Python, Java, Go, Rust, JavaScript, React, SQL Experience with Docker, Kubernetes, Kafka Familiarity with GCP, Azure, AWS Understanding of cloud storage, networking, and resource provisioning Desirable Master’s or PhD in Computer Science or related field GCP or Kafka certifications More ❯

teams to optimise model integration and system performance Your Experience: Advanced Golang engineering background, ideally in distributed or secure systems Solid experience with Kubernetes, orchestration tooling (e.g. Argo), and Kafka or equivalent Strong database knowledge (Postgres preferred) Ability to design and scale APIs and backend pipelines for data-rich environments Bonus: Familiarity with RAG pipelines, transcription tooling, vector DBs More ❯