51 to 75 of 98 Kafka Jobs in the Thames Valley

tools (e.g. Prometheus, Grafana, structured logging) Confident debugging and resolving issues in complex distributed systems Product-oriented mindset with a collaborative approach to improving developer experience Bonus: experience with Kafka, gRPC, or contributing to open-source projects If you’re a Senior Platform Engineer who thrives on building tools and systems that empower developers and accelerate delivery, apply today. More ❯

Built or deployed software used by enterprise customers Experience with applied machine learning or MLOps (not just academic or notebook-based work) Exposure to event-driven architectures, streaming systems (Kafka, etc.), or real-time data pipelines Frontend experience in React, TypeScript, or similar modern frameworks 📈 What We Offer Early-stage equity and the opportunity to shape foundational decisions High More ❯

Role – Technology Lead/Confluent Consulting Engineer Technology – Apache Kafka, Confluent Platform, Stream Processing Location – UK, Germany, Netherlands, France & Spain Job Description Today, the corporate landscape is dynamic and the world ahead is full of possibilities! None of the amazing things we do at Infosys would be possible without an equally amazing culture, the environment where ideas can flourish … and integrations using Kafka and Confluent components. You will collaborate with data engineers, architects, and DevOps teams to deliver robust streaming solutions. Required: • Hands-on experience with Apache Kafka (any distribution: open-source, Confluent, Cloudera, AWS MSK, etc.) • Strong proficiency in Java, Python, or Scala • Solid understanding of event-driven architecture and data streaming patterns • Experience deploying Kafka … cloud platforms such as AWS, GCP, or Azure • Familiarity with Docker, Kubernetes, and CI/CD pipelines • Excellent problem-solving and communication abilities Preferred: Candidates with experience in Confluent Kafka and its ecosystem will be given preference: • Experience with Kafka Connect, Kafka Streams, KSQL, Schema Registry, REST Proxy, Confluent Control Center • Hands-on with Confluent Cloud services More ❯

Hands-on experience building and maintaining data ingestion pipelines Proven track record of optimising queries, code, and system performance Experience with open-source data processing frameworks (Apache Spark, Apache Kafka, Apache Airflow) Knowledge of distributed computing concepts and big data technologies Experience with version control systems (Git) and CI/CD practices Experience with relational databases (PostgreSQL, MySQL or More ❯

degree or PhD in a STEM discipline. Experience line managing managers. Intermediate/advanced programming skills in Python, Java, and SQL. Familiarity with modern data technologies (e.g., Couchbase, Apache Kafka, or equivalents). Experience overseeing large-scale strategic initiatives. More ❯

etl (extract, transform, load) processes and data warehousing. 3. Strong understanding of sql for data querying and validation. 4. Knowledge of big data technologies such as hadoop, spark, or kafka is a plus. 5. Familiarity with scripting languages like python, java, or shell scripting. 6. Excellent analytical and problem-solving skills with a keen attention to detail. 7. Ability More ❯

collaborating with cross functional teams Strong Background and experience in Data Ingestions, Transformation, Modeling and Performance tuning. Should have experience in designing and developing dashboards Strong Knowledge in Hadoop, Kafka, SQL/NoSQL Should have experience in creating roadmap to improve platform Observability Experience in leading mid-scale teams with strong communication skills Experience in Machine Learning and GCP More ❯

valuation engines. Strong knowledge of object-oriented programming, data structures, and design patterns. Familiarity with market risk, credit risk, or counterparty risk concepts. Experience with messaging systems (e.g., Solace, Kafka, or RabbitMQ) and distributed architecture. Solid understanding of multi-threaded and low-latency system design. Exposure to quant libraries, risk factor decomposition, or sensitivities is a strong plus. More ❯

Modular provisioning, testing, and deployment patterns Kubernetes: Workload orchestration and container management CI/CD: GitHub Actions or Azure DevOps pipelines with end-to-end automation Event-Driven Architecture: Kafka or similar messaging systems Monitoring & Observability: Azure Monitor, Open Telemetry, Prometheus etc. Secure-by-Design Practices: Policy as Code, automated validation, compliance controls Nice to Haves Experience in regulated More ❯

experience (RHEL preferred) Scripting experience in Python, Ruby, or Bash BSc in Computer Science, Engineering, or related field Bonus: Ansible, Chef, Puppet, GCP, Prometheus, Grafana, Kibana, Datadog, Elasticsearch, Logstash, Kafka, Kubernetes This is a rare opportunity to join one of the most advanced systematic trading environments globally, building exposure to cutting-edge infrastructure, large-scale distributed systems, and next More ❯

Experience overseeing delivery of large-scale, data-driven products from prototype through to production in complex environments. Strong technical understanding of real-time event-driven data processing systems including Kafka or similar frameworks. Hands-on knowledge (past or present) of Java and AWS-based cloud environments, with an understanding of scalable system design. Exceptional stakeholder management and communication skills More ❯

Expertise in at least one cloud platform and its managed data services. Experience building APIs Experience in Genomics/Life Sciences Nice to have: Kubernetes and/or Docker Kafka Oracle Compensation: This role is offering a competitive salary + benefits package. How to apply: Please apply through the link on this page. More ❯

Expertise in at least one cloud platform and its managed data services. Experience building APIs Experience in Genomics/Life Sciences Nice to have: Kubernetes and/or Docker Kafka Oracle Compensation: This role is offering a competitive salary + benefits package. How to apply: Please apply through the link on this page. More ❯

governance. Nice-to-have Text-to-Cypher/SPARQL with safety filters and small eval sets. MCP-style tool contracts for safe agent access. Streaming/ELT at scale (Kafka/Databricks/PySpark). More ❯

teams. Key Skills: Experience with Azure cloud data lakes and services (Data Factory, Synapse, Databricks). Skilled in ETL/ELT pipeline development and big data tools (Spark, Hadoop, Kafka). Strong Python/PySpark programming and advanced SQL with query optimisation. Experience with relational, NoSQL, and graph databases. Familiar with CI/CD, version control, and infrastructure as More ❯

.NET Core Proven experience building microservices-based architectures Strong knowledge of Azure Cloud Services (Functions, Service Bus, Event Hub, Kubernetes, etc.) Experience with event-driven/message-based systems (Kafka, RabbitMQ, or Service Bus) Energy or Commodity Trading domain experience (essential) Exposure to low-latency systems or real-time data processing is highly desirable If you’re interested in More ❯

Develop a long-term data vision and roadmap that supports the evolving needs of capital markets firms. Skills Required Technical Expertise: Proficiency in data modelling, database design, SQL, Python, Kafka(optional), and experience with ETL tools and cloud data platforms. Data Management : Strong knowledge of data warehousing solutions. Capital Markets Knowledge: Understanding of the specific data requirements, challenges, and More ❯

orchestration tools. Implement redundancy, backups, and DB triggers to ensure reliability and data integrity. Work with Python to build scalable data solutions. Introduce and adopt new technologies such as Kafka, Docker, Airflow, and AWS . Define and enforce data hygiene practices (ontology, storage, artifacts, version control). Reduce engineering load per person through automation and efficient design. Collaborate closely More ❯

A culture of engineering excellence driven by mentoring and high-quality practices. Preferred Experience Databricks in a SaaS environment, Spark, Python, and database technologies. Event-driven and distributed systems (Kafka, AWS SNS/SQS, Java, Python). Data Governance, Data Lakehouse/Data Intelligence platforms. AI software delivery and AI data preparation. More ❯

Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending December 2024 totaled $13.8 billion. Experience : Minimum 10+ Years Strong Knowledge in Hadoop, Kafka, SQL/NoSQL Specialization in designing and implementing large-scale data pipelines, ETL processes, and distributed systems Should be able to work independenty with minimal help/guidance Good More ❯

pipelines. Define non-functional requirements and performance acceptance criteria. Analyze performance test results and production metrics to identify trends, risks, and improvements. Work with modern technologies including Docker, Kubernetes, Kafka, and NoSQL databases. Mentor junior testers and drive continuous improvement in performance testing practices. What we’re looking for: 5+ years’ experience in non-functional/performance testing for More ❯

/Data Engineer & SysAdmin, you will: Operate and improve a critical hybrid setup spanning AWS services and on-premises resources. Maintain and enhance core data systems, including PostgreSQL databases, Kafka clusters , and data ingestion pipelines. Modernize infrastructure by migrating systems into AWS CDK–based TypeScript automation . Drive service reliability through improving monitoring and alerts for critical services feeding More ❯

at scale . Expertise in Python (plus C Java a bonus), and familiarity with ML frameworks like PyTorch, TensorFlow, Scikit-learn . Experience building production-grade pipelines (Spark, Ray, Kafka, Dask, Kubernetes, cloud). Ability to handle large, noisy datasets — financial or otherwise — and turn them into production-ready models. Curiosity, pragmatism, and the mindset to solve problems where More ❯

specialising in Go to contribute to v1 builds, define architecture, and ship mission-critical backend systems from scratch. What you’ll do: Design & scale a fault-tolerant ledger (Golang, Kafka, CockroachDB/YugabyteDB) Architect distributed, multi-region infra with five-nines reliability Contribute to backend, DevOps, and CI/CD decision-making Embed AI into engineering workflows & ops Self More ❯

observability at global scale. What You'll Do: Own platform architecture for our next-gen ledger infrastructure Scale multi-region Kubernetes environments across cloud & on-prem Harden distributed systems (Kafka, Redis, CockroachDB) for global banking workloads Lead our AI-powered SRE approach: observability, remediation, and auto-response Enforce zero-trust, multi-tenant security and compliance (SOC2, ISO 27001) Define More ❯