26 to 50 of 73 Kafka Jobs in Manchester

systems they work on, from design through to deployment and supporting them in production. Skills: Java and Spring Boot REST APIs and Kafka event-driven systems AWS (including S3, Lambda, ECS, EKS, MSK) TDD, CI/CD and IaC Observability AI assisted engineering The money is good ...

experience in a professional field or military Experience as technical specialist in design and architecture Experience in database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) Experience in consulting, design and implementation of serverless distributed solutions Experience in software development with object oriented language Experience in cloud based solution ...

evaluation at scale: eval suites, red-teaming AI-generated code, benchmarking agent workflows. Multi-tenant SaaS architecture experience, CDC/event-driven ingestion (Debezium, Kafka, RabbitMQ/MassTransit), or lakehouse exposure (Microsoft Fabric). Azure services, Docker, Kubernetes/Helm. Experience with legal, security, or compliance frameworks ...

suites, behavioural test design, or benchmarking agent workflows. Functional programming in C# (LanguageExt - Either/Option patterns). CDC/event-driven ingestion (Debezium, Kafka) or lakehouse exposure (Microsoft Fabric). Azure services, Docker, Kubernetes/Helm. Familiarity with compensation, HR, or pay transparency domains. Why join us? Your ...

modern AWS-based stack. You’ll contribute to delivering robust, scalable APIs, using Java 17/21, Spring Boot 3.x, Docker, Kubernetes, GraphQL and Kafka, with a strong emphasis on continuous delivery, testing and agile teamwork. #J-18808-Ljbffr ...

tech peers to align with strategic priorities. Role requires deep frontend and backend expertise across Java Spring Boot, TypeScript/React, AWS, Kubernetes, and Kafka, plus strong security and CI/CD practices. #J-18808-Ljbffr ...

language — Python is required . Proficiency in at least one object-oriented language. Experience with big data technologies such as HDFS, YARN, MapReduce, Hive, Kafka, Spark, Airflow, or Presto. Experience with AWS, GCP, or Looker (advantageous but not essential). Solid background in data modelling, including the design, implementation ...

scalable solutions. This permanent hybrid role focuses on Java Spring Boot, AWS, and a modern frontend stack (TypeScript/React), with Kubernetes/Kafka familiarity as a plus in a product‐led, collaborative environment. #J-18808-Ljbffr ...

testing and database testing . Strong SQL skills. Experience with exploratory testing . Experience testing messaging or streaming platforms such as RabbitMQ and Kafka . Knowledge of data validation and data integrity checks , particularly within real-time or event-driven systems. Strong analytical, troubleshooting and problem-solving skills. Ability ...

with AI, automation, cloud-native design, or digital workflow modernisation. Experience with APIs, REST, integration and data modelling; understanding of middleware, message queues (e.g., Kafka, Service Bus), and ETL/ELT workflows. Experience designing solutions that work with legacy systems, SaaS, and enterprise applications. Certifications such as TOGAF, Azure ...

backend development – enough to lead by example and contribute to technical decisions. Experience with our core stack — a Java Spring Boot, AWS, Kubernetes and Kafka back end, with a TypeScript/React front end. Experience designing and building services within a microservices or domain‐driven architecture — defining service boundaries … working with asynchronous, event‐driven communication (e.g. via Kafka) — and an understanding of how those decisions play out once services are running in production. CI/CD, containerisation, and modern DevOps practices applied as part of everyday delivery. Security best practices embedded in day‐to‐day development. An interest ...

SQL. Building and maintaining data pipelines. Data modelling and warehousing fundamentals. dbt or similar modern transformation frameworks Experience with AWS data services. Exposure to Kafka, Spark, streaming data, or modern BI tools. Interest in AI, analytics engineering, and data products THE BENEFITS You will receive a salary ...

SQL. Building and maintaining data pipelines. Data modelling and warehousing fundamentals. dbt or similar modern transformation frameworks Experience with AWS data services. Exposure to Kafka, Spark, streaming data, or modern BI tools. Interest in AI, analytics engineering, and data products THE BENEFITS You will receive a salary ...

code quality. This role is eligible for inclusion in the Company’s hybrid work from home policy. Preferred Skills and Experience Expert knowledge of Kafka, SQL, .Net, Golang or React. Proven experience building highly scalable systems, preferably in the cloud (GCP valued). Proficiency in developing customer‐centric front ...

drive Java/Spring Boot services, own delivery direction, and mentor engineers within a hybrid setup. You will work across REST APIs and Kafka pipelines, shape technical decisions, and champion AI‐assisted development to raise quality and speed. The role blends hands‐on coding with client leadership ...

lead AI‐driven engineering in a full‐stack environment to support global expansion and deliver reliable, scalable software. The ideal candidate has expertise with Kafka, SQL, .NET, Golang or React, cloud experience (GCP valued), and NoSQL stores. You will mentor a team, own critical solutions, and contribute to code ...

autonomy, and commitment to engineering best practice Collaborative mindset and continuous‐learning approach Financial services or regulated‐industry exposure Docker/Snowpark Streaming tech (Kafka, Event Hub) In return In return, they’re offering a fantastic package including £100k salary plus 10% bonus, 9% pension, LTIP and hybrid working ...

Kinesis Databricks and Snowflake running on top of AWS Spark and distributed processing frameworks for large-scale data Streaming technologies such as Kinesis or Kafka You're expected to pick the right tools for the problem within the AWS ecosystem, not just default to whatever you know best. What ...

quality, validation, reconciliation, and audit controls across betting, trading, and customer data domains. Develop streaming and micro-batch data solutions using AWS Kinesis, Apache Kafka, or Amazon MSK to support real-time sportsbook and in-play data feeds. Build and maintain data solutions using AWS services including S3, Glue … essential Tech snapshot Primary cloud AWS — Glue, Lambda, Athena, S3, Redshift, RDS, Kinesis, MSK, Lake Formation, Step Functions, MWAA Streaming AWS Kinesis, Apache Kafka/MSK, Apache Flink, Spark Streaming Languages Python, SQL, Spark Pipeline tools dbt, Airflow/AWS MWAA, AWS Glue Platforms Databricks, Snowflake, Amazon Redshift Data ...

enterprise applications and AI services Develop microservices-based architectures supporting orchestration, workflow automation and knowledge access Implement event-driven solutions using technologies such as Kafka and Pub/Sub Develop enterprise authentication and authorisation solutions using OAuth, SAML and SSO Build and manage integrations through API Gateways , focusing … highly available platforms . Strong experience in several of the following would be highly beneficial: Java, Python or Node.js REST APIs and microservices Kafka, Pub/Sub or other event-driven technologies Kubernetes/OpenShift and containerisation OAuth, SAML and SSO API Gateways and enterprise integrations Cloud-native development ...

Kinesis • Databricks and Snowflake running on top of AWS • Spark and distributed processing frameworks for large-scale data • Streaming technologies such as Kinesis or Kafka You're expected to pick the right tools for the problem within the AWS ecosystem, not just default to whatever you know best. What ...

meaningfully, and set the standard for your squad. Able to lead a team across our core stack - a Java Spring Boot, AWS, Kubernetes and Kafka back end, with a TypeScript/React front end - deep expertise in some areas, with the breadth to engage credibly across the rest. … strong grasp of software architecture principles - domain-driven design, service boundaries, and event-driven communication (e.g. via Kafka) - and the ability to guide your squad's technical direction within a broader engineering strategy. Modern engineering practices: CI/CD, containerisation, version control workflows, code review, testing strategies, and observability. ...

spearhead a ground-up re-architecture of core platforms within the Risk & Regulatory division. The role focuses on delivering robust, high-performance solutions using Kafka, SQL, .NET, Golang, and TypeScript, while mentoring a team to innovate and excel. You will drive architecture, oversee end-to-end delivery, and operate ...

Data Platform team provides real-time streaming, cloud-based databases, release management, distributed storage and bespoke technical solutions. You will work with Golang, Kafka, Flink, GCP, Spanner and BigQuery. This role is eligible for inclusion in the Company’s hybrid work from home policy, enabling flexible working arrangements. #J ...

reinventing existing solutions, and articulating intent clearly so AI accelerates good engineering rather than multiplying mediocre code. Tech stack Java (Spring Boot), RESTful APIs, Kafka/event‐driven services CI/CD pipelines, AWS (S3, Lambda, ECS, EKS, MSK) Kubernetes, containerisation, infrastructure as code AI integrations, agentic development workflows … strong security practices Responsibilities Build Java services across REST APIs and Kafka pipelines with readable, maintainable, well‐tested code. Write tests as part of development, encouraging TDD approaches. Integrate with third‐party APIs (e.g., payment gateways). Define and oversee technical implementations, shaping how things are built. Champion ...