426 to 450 of 612 Kafka Jobs in the UK

You’ll Bring: Expertise in Python and/or Go for backend development in secure, distributed systems Experience working with Kubernetes, orchestration tools (e.g., Argo), and message buses like Kafka Practical knowledge of Postgres or similar databases Proven experience building real-time or batch AI/ML pipelines with strong API design (Bonus) Exposure to LLMs, vector databases, transcription 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 ❯

with 3rd party applications integration (API, FTP, Message queue, etc.). Prior experience developing in PYTHON Technologies Cloud (AWS). Rapid Development (RAD). Messaging/Data Streaming solution (Kafka, RabbitMQ, etc.). Database Admin. Linux exposure. REST API. This role offers a competitive base salary and a 50-100% bonus potential Don't miss out on this opportunity More ❯

customer experiences. To be successful as a BATS Rates Java Developer - AVP, you should have experience with: • Java development in investment banking domain • Relational database management systems • Messaging brokers (Kafka, Solace, MQ, etc.) Some other highly valued skills may include: • Low latency programming experience • Proficiency in Scripting • Efficient communication skills You may be assessed on the key critical skills More ❯

skills and the ability to work collaboratively in a team environment. Experience in developing and implementing automated trading or decision-making systems is highly desirable Experience with Kubernetes and Kafka are desirable Experience with Databricks is desirable Experience with experimentation is desirable A Bachelor's degree in a relevant field such as Computer Science, Statistics, Mathematics, or a related More ❯

decisions. What you will bring Deep technical expertise in at least one data ecosystem (e.g. Oracle, SQL Server, Cloud Data platforms) plus real-time data streaming/processing technologies (Kafka, Spark). Data modelling and governance proficiency, covering conceptual, logical, and physical architectures, metadata management. Cloud data technologies: experience architecting solutions on AWS, Azure, or GCP, optimising cost, performance More ❯

for edge devices or VMs * Practical experience deploying and running machine learning workloads, including LLMs or transcription models * Comfort adapting existing infrastructure to new compliance regimes * Bonus: Familiarity with Kafka and message-based orchestration for AI/ML pipelines Due to the nature and urgency of this post, candidates holding or who have held high level security clearance in More ❯

participation in building software, addressing complex aspects. Performing PR reviews for teammates. What we are looking for: Strong technical skills and solid conceptual foundations. Experience with Typescript, Node.js, gRPC, Kafka, MongoDB, GraphQL. Passion for Distributed Software, Cloud solutions, Microservices, & Serverless Architectures. Eagerness to learn, evaluate, and apply the best solutions. Experience in discussing, spiking, and benchmarking engineering solutions. Familiarity More ❯

CD pipelines across Azure. API architecture - Strong experience designing, implementing, and securing RESTful and/or gRPC APIs. Real-time data systems - Skilled in message streaming with platforms like Kafka, Azure Event Hubs, or RabbitMQ. Leadership in fast-paced environments - Proven track record as a tech lead in high-growth or startup environments, with the ability to build, mentor More ❯

experiences, don't let it stop you from applying. BASIC QUALIFICATIONS - 10+ years of technical specialist, design and architecture experience - 10+ years of database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) experience - 10+ years of consulting, design and implementation of serverless distributed solutions experience - Australian citizen with ability to obtain security clearance. PREFERRED QUALIFICATIONS - AWS Professional level certification - 10+ More ❯

concepts and methodologies to diverse audiences We'd Love to See: Knowledge of SQL/Python querying language Familiarity with Iceberg and Trino solutions Knowledge of streaming technologies like Kafka Experience in semantic structures or data modeling Experience using data visualization tools such as Tableau, QlikSense or Splunk Bloomberg is an equal opportunity employer and we value diversity at More ❯

and contribute. work on a mix of maintaining data pipelines and developing new tools for marketing data analysis. have exposure of working with technologies such as SQL, Python, Kotlin, Kafka, Snowflake, javascript, data integration tools, and cloud platforms. collaborate as part of a team, supporting our marketing efforts with data solutions and developing data products. work with marketing team More ❯

technologies such as HDFS, Pig, Hive, Impala and management of the Hadoop system. Experience with Azure, AWS, or OCI including their native database services. Experience with Snowflake Experience with Kafka and Elasticsearch Experience with SAS software Experience with 3rd party tools such as Toad, Erwin or other design and DB access products Diverse and Inclusive At SAS, it's More ❯

Tableau) and data analytics languages (SQL, Python). Familiarity with Salesforce, Dynamics 365, or similar enterprise systems. Excellent communication, collaboration, and stakeholder management skills. Nice-to-Haves Knowledge of Kafka, Snowflake, or Databricks. Experience with AI in data (e.g., real-time forecasting, visualisation). Background in advisory or consulting roles within data strategy. Ability to thrive in ambiguous, fast More ❯

following key abilities or experience: Deep technical expertise in at least one data ecosystem (e.g. Oracle, SQL Server, Cloud Data platforms) plus real-time data streaming/processing technologies (Kafka, Spark). Data modelling and governance proficiency, covering conceptual, logical, and physical architectures, metadata management. Cloud data technologies: experience architecting solutions on AWS, Azure, or GCP, optimising cost, performance More ❯

following key abilities or experience: Deep technical expertise in at least one data ecosystem (e.g. Oracle, SQL Server, Cloud Data platforms) plus real-time data streaming/processing technologies (Kafka, Spark). Data modelling and governance proficiency, covering conceptual, logical, and physical architectures, metadata management. Cloud data technologies: experience architecting solutions on AWS, Azure, or GCP, optimising cost, performance More ❯

following key abilities or experience: Deep technical expertise in at least one data ecosystem (e.g. Oracle, SQL Server, Cloud Data platforms) plus real-time data streaming/processing technologies (Kafka, Spark). Data modelling and governance proficiency, covering conceptual, logical, and physical architectures, metadata management. Cloud data technologies: experience architecting solutions on AWS, Azure, or GCP, optimising cost, performance More ❯

of the brightest technical minds in the industry today. BASIC QUALIFICATIONS - 10+ years of technical specialist, design and architecture experience - 10+ years of database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) experience - 10+ years of consulting, design and implementation of serverless distributed solutions experience - Australian citizen with ability to obtain security clearance. PREFERRED QUALIFICATIONS - AWS Professional level certification - 10+ More ❯

of current cyber security threats, actors and their techniques. Experience with data science, big data analytics technology stack, analytic development for endpoint and network security, and streaming technologies (e.g., Kafka, Spark Streaming, and Kinesis). Strong sense of ownership combined with collaborative approach to overcoming challenges and influencing organizational change. Amazon is an equal opportunities employer. We believe passionately More ❯

C-suite executives and driving organizational change • Bachelor's degree, or 7+ years of professional or military experience • Experience in technical design, architecture and databases (SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) • Experience implementing serverless distributed solutions • Software development experience with object-oriented languages and deep expertise in AI/ML PREFERRED QUALIFICATIONS • Proven ability to shape market segments and More ❯

languages such asPython, R, and SQL. An understanding of databasetheory and design. Experience withSQL and NoSQL databases. Familiarity with big datatechnologies and ecosystems suchas MicrosoftSynapse/Fabric,Hadoop, Spark, Kafka, and others. Skills in data modelling and datawarehousing solutions. Experienceof dimensional modelling (Kimball). Proven Experience in designing and developing ETL/ELT processes. Knowledge of data pipeline toolssuch More ❯

conversion data, targeting and measurement, as well as the changing privacy and compliance landscape. Have a data engineering background, or working experience with data technologies such as Databricks, Spark, Kafka, SQL and Airflow. Have a strong sense of ownership and track record of delivery. You get huge satisfaction from tackling complex and ambitious problems, and delivering the highest quality More ❯

software landscape. Experience working with CRM, BPM, payments, and/or ticketing systems. You will have the opportunity to work across a variety of technologies including GCP, Kubernetes (GKE), Kafka, Elasticsearch, Oracle, Couchbase and Apigee, so previous experience in any of these is welcome. About Us Our vision is to give everyone the belief they can make their move. More ❯

associated security incident response systems Stay informed about emerging threats and security best practices. Data Ingestion and Enrichment: Configure Elasticsearch pipelines for data ingestion from various sources, primarily from Kafka Enhance data enrichment by integrating threat intelligence feeds and contextual information. Keep abreast of relevant technologies in the area Reading, attending briefings and talks. Contribute to the running of More ❯

Role: Java Developer - Microservices | AWS | Kafka Location: Manchester (Hybrid - 3 days onsite, 2 days remote) Salary: Up to £55,000 DOE My client is looking for a talented Java Developer to join their growing engineering team in Manchester. This is a fantastic opportunity to work on high-scale, cloud-native systems using modern technologies in a collaborative, forward-thinking … environment. The Role: Java and the full Spring ecosystem (Spring Boot, Spring Cloud, Spring Data, Spring Cloud Stream) Kafka, MongoDB, ElasticSearch, and Redis AWS cloud services including Lambda, Step Functions, and general serverless architecture Docker and Kubernetes in modern DevOps environments Test-driven development (TDD) and clean architecture principles (DDD) You'll also contribute to architecture discussions, peer reviews … technical presentations within the team. What They're Looking For: Strong Java development experience using Spring-based frameworks Knowledge of distributed systems and microservices best practices Hands-on with Kafka, NoSQL/ElasticSearch, and containerised environments Experience with AWS services and cloud-native design Comfortable working in Agile teams and contributing to technical direction This is a fantastic opportunity More ❯