10 of 10 Remote Kafka Jobs in Central London

Git-based workflows Bachelors/Computer Science degree or equivalent Nice to Have: Experience in fintech, payments, or banking systems Exposure to serverless architecture Knowledge of event-driven systems (Kafka, SNS/SQS) Familiarity with security best practices in fintech (e.g., PCI DSS compliance) Experience with PostgreSQL or MongoDB This role offers a 2 -3 stage interview process with 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 ❯

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 ❯

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 ❯

data products. Ensure solutions meet governance, compliance, and security standards. Skills & Experience: Proven experience as a Data Solution Architect or similar senior-level data architecture role. Strong knowledge of Kafka, Confluent, Databricks, Unity Catalog, and cloud-native architecture. Skilled in Data Mesh, Data Fabric, and product-led data strategy design. Experience with big data tools (e.g., Spark), ETL/ More ❯

learning techniques, including clustering, Bayesian methods, reinforcement learning, and scalable modelling Technical fluency in tools and platforms like Python or R, cloud environments, and big data infrastructure (e.g., Hadoop, Kafka, SQL) Exceptional stakeholder communication-able to translate complex technical ideas into strategic insights for executive audiences Bonus: Experience in industries like gaming, entertainment or technology would add value Please More ❯

unit testing frameworks (e.g., JUnit). Experience testing backend systems or APIs, with knowledge of REST, JSON, or Thrift. Bonus: Familiarity with Selenium WebDriver, Jenkins, big data technologies (Hadoop, Kafka), or performance testing tools like JMeter. Why Apply? Competitive bonus structure (from 4%, up to 8% after 3 years). Comprehensive benefits including private pension plans, health & dental coverage More ❯

lead engineer, you’ll be hands-on in both build and support, working across security-first infrastructure and enabling robust DevSecOps practices. Essential Skills: Strong experience with AWS MSK (Kafka) and secure multi-account AWS environments Proven production experience with Kubernetes, Docker, Helm Proficient in Terraform, CI/CD Pipelines (Drone/GitLab) Excellent understanding of Kafka internals … stream processing, and secure Kafka deployments Strong experience across monitoring (Prometheus, Grafana, CloudWatch) Knowledge of security hardening, IAM, WAF, Shield, Vault Working knowledge of Agile, Infrastructure-as-Code, and DevSecOps practices UK*C or Enhanced DV (eDV) Clearance is a must To Be Considered: Please either apply through this advert or email me directly at: luke.parry@searchability.com. For further More ❯

partner across a wide range of businesses. In this role you'll take ownership of the reliability and performance of large-scale date pipelines built on AWS, Apache Flink, Kafka, and Python. You'll play a key role in diagnosing incidents, optimising system behaviour, and ensuring reporting data is delivered on time and without failure. The ideal candidate will … have a strong experience working with streaming and batch data systems, a solid understanding of monitoring a observability, and hands-on experience working with AWS, Apache Flink, Kafka, and Python. This is a fantastic opportunity to step into a SRE role focused on data reliability in a modern cloud native environment, with full ownership of incident management, architecture, and … performance. The Role: *Maintaining and monitoring real-time and batch data pipelines using Flink, Kafka, Python, and AWS *Act as an escalation point for critical data incidents and lead root cause analysis *Optimising system performance, define SLIs/SLOs, and drive reliability *Woking closely with various other departments and teams to architect scalable, fault-tolerant data solutions The Person More ❯

development is supported, and technical impact is real. The Role: *Manage and optimise AWS and Kubernetes (EKS) infrastructure *Implement resilience strategies and conduct chaos engineering experiments *Monitor and maintain Kafka clusters for performance and reliability *Respond to and resolve application-level production incidents The Person: *5+ years in SRE, DevOps, or infrastructure engineering *Strong experience with AWS, EKS/… Kubernetes, and Terraform *Familiar with Kafka and observability tools like Datadog or Grafana *Able to troubleshoot issues across infrastructure and application layers Reference number: BBBH(phone number removed) To apply for this role or for to be considered for further roles, please click "Apply Now" or contact Tommy Williams at Rise Technical Recruitment. Rise Technical Recruitment Ltd acts an More ❯