platforms. Role purpose/summary Java, Kafka, MQ Series, Postgres, Redis or Other Time Series Databases, Docker, Kubernetes Experience working with Multi Cloud Systems is ideal Experience working on Confluent is ideal Experience working with Data Replication/Event Streaming/Distributed Data/Data Archival Experience working on various Data Standards, conversion and quality like EDIFACT, XML, JSON Experience More ❯
high-quality software that drives impact, we run our own services. Our current technical stack includes: backend services are containerised and provisioned into ECS clusters, service communication via Kafka (Confluent Cloud), infrastructure automation with Pulumi (Typescript), our infrastructure is hosted at AWS (most used: ECS, S3, DynamoDB, Aurora, OpenSearch), Github Actions for builds and workflow automation, DataDog for monitoring and More ❯
our systems are trusted, reliable and available . The technology underpinning these capabilities includes industry leading data and analytics products such as Snowflake, Tableau, DBT, Talend, Collibra, Kafka/Confluent , Astronomer/Airflow , and Kubernetes . This forms part of a longer-term strategic direction to implement Data Mesh, and with it establish shared platform s that enables a connected More ❯
direction across entire programmes and client estates. Key Responsibilities Senior Data Architects: Lead the design and delivery of cloud-native data solutions using modern platforms (e.g. Databricks, Snowflake, Kafka, Confluent) Architect data lakes, lakehouses, streaming pipelines, and event-driven architectures Oversee engineering teams and collaborate with analysts and QA functions Translate complex requirements into scalable, robust data products and platforms More ❯
direction across entire programmes and client estates. Key Responsibilities Senior Data Architects: Lead the design and delivery of cloud-native data solutions using modern platforms (e.g. Databricks, Snowflake, Kafka, Confluent) Architect data lakes, lakehouses, streaming pipelines, and event-driven architectures Oversee engineering teams and collaborate with analysts and QA functions Translate complex requirements into scalable, robust data products and platforms More ❯
custom data architecture solutions across various industries. Architectural Expertise: Strong expertise in designing and overseeing delivery of data streaming and event-driven architectures, with a focus on Kafka and Confluent platforms. In-depth knowledge in architecting and implementing data lakes and lakehouse platforms, including experience with Databricks and Unity Catalog. Proficiency in conceptualising and applying Data Mesh and Data Fabric More ❯
Salisbury, Wiltshire, South West, United Kingdom Hybrid / WFH Options
Anson Mccade
directly with senior stakeholders to influence architectural decisions and standards You'll bring: Proven experience as a Lead Data Architect or Senior Data Solutions Architect Expertise in Kafka/Confluent , Databricks , Unity Catalog , and modern data lake/lakehouse architectures Strong grasp of cloud data platforms (AWS, Azure, GCP, Snowflake) Understanding of Data Mesh , Data Fabric , and data product-centric More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Computappoint
and emerging technologies Essential Skills Technical Expertise: 2 to 3 years Java development - enterprise-level experience required C++ knowledge or strong motivation to master high-performance languages Kafka/Confluent - real-time data streaming experience Agile methodologies (Scrum, XP, Kanban) - collaborative delivery experience Testing mastery : BDD, TDD, unit, integration, automation testing Git version control and modern development workflows DevOps principles More ❯
and emerging technologies Essential Skills Technical Expertise: 2 to 3 years Java development - enterprise-level experience required C++ knowledge or strong motivation to master high-performance languages Kafka/Confluent - real-time data streaming experience Agile methodologies (Scrum, XP, Kanban) - collaborative delivery experience Testing mastery : BDD, TDD, unit, integration, automation testing Git version control and modern development workflows DevOps principles More ❯
labs domain (Pre-Clinical and CMC) and in the digitalization of technical process development through modeling, including the end-to-end digital process setup, testing and maintenance. Experience in Confluent Kafka, Mendix, MS Azure stack and Agile tool kits such as JIRA or Azure DevOps. Experience of AI/ML model metrics (e.g., F1 and AI-contents evaluation metrics) including More ❯
With Confluent, organisations can harness the full power of continuously flowing data to innovate and win in the modern digital world. We have a purpose that drives us to do better every day - we're creating an entirely new category within data infrastructure - data streaming. This technology will allow every organisation to create experiences and use the power of data … our purpose and drives us to do better every day. One Confluent. One team. One Data Streaming Platform. Data Connects Us. About the Role: As a Field CTO at Confluent, you will serve as both a technical strategist and a trusted advisor, engaging with our GTM and R&D teams to propel the adoption of Confluent platforms among key strategic … product offerings. This involves translating customer feedback into actionable product features and engaging directly with important stakeholders within customer organizations to address their business challenges and showcase the value Confluent can offer. Beyond internal collaborations, you'll also stand as the public face of Confluent's technical vision, representing the company at various public events such as conferences and workshops. More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Montash
key metrics to ensure platform performance, user engagement, and operational efficiency. What We're Looking For: Deep expertise in real-time data processing and streaming technologies (e.g. Kafka, Flink, Confluent, Redis). Experience with data platforms and pipelines in cloud environments (Databricks on AWS, Glue, Azure Data Factory). A track record of hands-on data architecture in fast-paced More ❯
