251 to 275 of 615 Kafka Jobs in the UK

deliver on time Collaborative mindset with experience working in cross-functional teams Bonus Points Experience with machine learning workflows and MLOps practices Knowledge of real-time streaming data processing (Kafka, Kinesis) Background in consulting or client-facing technical roles Contributions to open-source analytics or data engineering projects What Success Looks Like in Your First Year Technical Impact: Successfully More ❯

Proficiency in Unix systems, ideally Linux (Ubuntu) Strong communication skills and experience mentoring engineers Responsibilities Your main responsibilities will involve working on: Data pipeline and underlying infrastructure, especially Apache Kafka and PostgreSQL database Technologies like Kubernetes, Vault, Go microservices, and other cloud services On-premise infrastructure Your technical expertise will play a crucial role in these areas. More ❯

. Advanced skills in SQL and Python , with hands-on experience in relational databases across cloud and on-prem environments. Familiarity with modern data technologies such as Apache Spark , Kafka , or Snowflake . A comprehensive understanding of the data engineering lifecycle, including Agile delivery , DevOps , Git , APIs , containers , microservices , and pipeline orchestration . Nice to have: Databricks Certified Data More ❯

platforms (Azure, AWS, GCP) Hands-on experience with SQL, Data Pipelines, Data Orchestration and Integration Tools Experience in data platforms on premises/cloud using technologies such as: Hadoop, Kafka, Apache Spark, Apache Flink, object, relational and NoSQL data stores. Hands-on experience with big data application development and cloud data warehousing (e.g. Hadoop, Spark, Redshift, Snowflake, GCP BigQuery More ❯

and sustainability-delivering under tight deadlines without compromising quality. Your Qualifications 12+ years of software engineering experience, ideally in platform, infrastructure, or data-centric product development. Expertise in Apache Kafka, Apache Flink, and/or Apache Pulsar. Deep understanding of event-driven architectures, data lakes, and streaming pipelines. Strong experience integrating AI/ML models into production systems, including More ❯

and sustainability-delivering under tight deadlines without compromising quality. Your Qualifications 12+ years of software engineering experience, ideally in platform, infrastructure, or data-centric product development. Expertise in Apache Kafka, Apache Flink, and/or Apache Pulsar. Deep understanding of event-driven architectures, data lakes, and streaming pipelines. Strong experience integrating AI/ML models into production systems, including More ❯

. Advanced skills in SQL and Python , with hands-on experience in relational databases across cloud and on-prem environments. Familiarity with modern data technologies such as Apache Spark , Kafka , or Snowflake . A comprehensive understanding of the data engineering lifecycle, including Agile delivery , DevOps , Git , APIs , containers , microservices , and pipeline orchestration . Nice to have: DP-203 Azure More ❯

. Advanced skills in SQL and Python , with hands-on experience in relational databases across cloud and on-prem environments. Familiarity with modern data technologies such as Apache Spark , Kafka , or Snowflake . A comprehensive understanding of the data engineering lifecycle, including Agile delivery , DevOps , Git , APIs , containers , microservices , and pipeline orchestration . Nice to have: DP-203 Azure 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 ❯

Comfortable balancing technical excellence with business priorities and constraints Nice to have Experience building Data Mesh or Data Lake architectures. Familiarity with Kubernetes, Docker, and real-time streaming (e.g. Kafka, Kinesis). Exposure to ML engineering pipelines or MLOps frameworks. What's it like to work at Zego? Joining Zego is a career-defining move. People go further here More ❯

Comfortable balancing technical excellence with business priorities and constraints Nice to have Experience building Data Mesh or Data Lake architectures. Familiarity with Kubernetes, Docker, and real-time streaming (e.g. Kafka, Kinesis). Exposure to ML engineering pipelines or MLOps frameworks. Whats it like to work at Zego? Joining Zego is a career-defining move. People go further here, reaching More ❯

other testing methodologies Preferred: Familiarity with PostgreSQL and Snowflake Preferred: Familiarity with Web Frameworks such as Django, Flask or FastAPI Preferred: Familiarity with event streaming platforms such as Apache Kafka Preferred: Familiarity with data pipeline platforms such as Apache Airflow Preferred: Familiarity with Java Preferred: Experience in one or more relevant financial areas (market data, order management, algorithmic trading More ❯

or Java. Client-side web apps are written in React, and some services in Clojure, Java and Go. Our platform consists of: Multiple Kubernetes Cluster for Container orchestration Apache Kafka and Redis shortly Postgres for event messaging Postgres for data storage OpenStack Swift for Object storage Juniper & Cisco networking devices A number of internally written tools for managing the More ❯

Role: Java Developer Duration: Till end of this year (Extendable) Location: Birmingham, UK (Onsite) Description: 4+ years of Java Development experience- Java 11+ Spring Experience working with microservices architecture Kafka for messaging - to some extent or equivalent MongoDB - to some extent or equivalent Strong understanding of SDLC Nice to haves: Gitlab - experience with others is generally fine, they can More ❯

own solution architecture delivery. Ensure robust governance, security, and performance standards. Requirements: Recent experience as a Lead Data Solution Architect or equivalent. Skilled in streaming/event-driven architectures (Kafka, Confluent). Deep knowledge of Databricks, Unity Catalog, and Snowflake. Understanding of Data Mesh/Fabric and product-led approaches. Familiarity with cloud platforms (AWS, Azure, GCP). Leadership More ❯

Start date - 7th AugustLocation TBD (Newcastle, Leeds or Manchester) - weekly travel Inside IR35Front end: Must be WCAG2.2 AAA compliant (accessible).Backend: Mix of microservices, lambda functions, and (Kafka) events. Some ETL and interaction with RPA. Likely to use microsites and/or UI fragments. Responsibilities: Set and enforce code quality standards (e.g. SonarQube unit test coverage%) Elaborate, estimate and More ❯

Troubleshoot and proactively resolve data pipeline issues. Partner with data architects, analysts, and business teams to deliver end-to-end data solutions. Stay current with emerging data technologies (e.g., Kafka/Event Hubs for streaming, Knowledge Graphs). Promote best practices in data engineering across the team. Skills & Experience Hands-on experience with Azure Databricks, Delta Lake, Data Factory More ❯

security standards, and compliance practices. Strong understanding of metadata management, data lineage, and data quality frameworks. Preferred Skills & Knowledge: Familiarity with big data technologies such as Hadoop, Spark, or Kafka Excellent communication skills with the ability to explain complex data strategies to non-technical stakeholders. Outstanding problem-solving abilities and organizational skills. Certifications (Preferred/Desirable): Azure Solutions Architect More ❯

security standards, and compliance practices. Strong understanding of metadata management, data lineage, and data quality frameworks. Preferred Skills & Knowledge: Familiarity with big data technologies such as Hadoop, Spark, or Kafka Excellent communication skills with the ability to explain complex data strategies to non-technical stakeholders. Outstanding problem-solving abilities and organizational skills. Certifications (Preferred/Desirable): Azure Solutions Architect More ❯

Science, Software Engineering or equivalent practical experience Proficiency in C#, .NET 8/9 and object-oriented design principles Experience developing microservices and RESTful APIs with tools like Redis, Kafka, and MySQL Familiarity with Docker and Kubernetes for containerisation and orchestration Experience working with Git, versioning practices, and CI/CD workflows Strong unit testing and mocking skills for More ❯

/planning with a colleague and raise an RFC Our Tech Stack Our services are written with C# on .NET 8 We use a fair bit of SQL Server, Kafka and RabbitMQ Azure DevOps. We are big fans of Azure Pipelines! Some of our services are migrating away from TeamCity and Octopus Deploy Our observability stack is Splunk, Grafana More ❯

get more value from model outputs as needs evolve. Requirements Proven experience designing and building robust backend systems using technologies such as Node.js, Python, MongoDB, PostgreSQL, Redis, RabbitMQ, and Kafka Demonstrated ability to scale production systems in cloud-native environments, familiarity with Kubernetes, NGINX, and container orchestration Experience building and maintaining real-time applications, including working with WebSockets and More ❯

get more value from model outputs as needs evolve. Requirements Proven experience designing and building robust backend systems using technologies such as Node.js, Python, MongoDB, PostgreSQL, Redis, RabbitMQ, and Kafka Demonstrated ability to scale production systems in cloud-native environments, familiarity with Kubernetes, NGINX, and container orchestration Experience building and maintaining real-time applications, including working with WebSockets and More ❯

techniques and performance optimisation. • Familiarity with data governance, security, and privacy best practices. • Experience with network-centric datasets (fiber, GPON, ethernet, Wi-Fi telemetry). • Exposure to streaming technologies (Kafka, Event Hubs) and real-time analytics. • Knowledge of Machine Learning Ops (MLflow, Databricks). Deadline: ASAP Contract Type: Full Time Location: London Interested? The full job specification can be More ❯

partnership to identify your strengths and provide you with the training, mentoring and coaching necessary to fill any gaps. Experience with some of our core technologies: Node.js, React, Elasticsearch, Kafka, MongoDB, Redis. You'll be proficient in at least one programming language and be accustomed to evaluating new technologies. Experience building and maintaining production software. It's great if More ❯