6 of 6 Kafka Jobs in Lancashire

NoSQL databases. Secure development practices. Git-based source control. Knowledge of CI automation systems such as Jenkins Bonus points for: Event streaming (e.g. Kafka, Kinesis) and change data capture (CDC). Messaging (e.g. RabbitMQ, SQS). Docker and Kubernetes. Solution and architecture design. Test-driven development (TDD). ...

operate real-time IoT data ingestion pipelines handling telemetry, logs, and events from thousands of devices. Implement processing workflows using Kinesis, Lambda, SQS, Kafka, Step Functions , or similar. Ensure data quality, schema governance, and reliability across ingestion and downstream data consumers. API Development Build and maintain RESTful and GraphQL ...

building data pipelines and platforms end-to-end. Hands on engineering across ingestion, transformation and data centralisation. Experience with tools such as Glue, Fivetran, Kafka, Dataflow, ADF or Kinesis. Transformation experience using dbt, Spark or Databricks. Confidence working directly with clients and engaging in technical discussions. Exposure to dashboards ...

Design and implement Real Time and batch data pipelines to support fraud detection and operational decision-making. Develop event-driven solutions using Kafka, Flink, and data transformation frameworks such as PySpark or Pandas. Write maintainable, high-quality Python or Java code with strong SQL capabilities. Build and manage cloud … with AWS, SQL, Python, and PySpark, including building cloud infrastructure using IaC (CloudFormation/Terraform). Hands-on experience with streaming frameworks such as Kafka and Flink. Familiarity with data quality frameworks (eg, Great Expectations) and graph databases is a plus. Agile development experience (Scrum preferred), with strong code ...

working with relational databases such as PostgreSQL or Microsoft SQL Server Experience working with NoSQL technologies such as DynamoDB, MongoDB or similar Hands-on Kafka (or equivalent streaming) and workflow orchestration (Airflow) experience Strong understanding of data architecture patterns including data lakes, warehouses and event-driven architectures Experience … maintainable Design, develop and deploy ETL/ELT pipelines to ingest, transform and optimise large-scale datasets Build and operate event-driven architectures (Kafka) and orchestrate workflows (Airflow) Apply strong data architecture principles across data lakes, warehouses and event-driven solutions Develop and maintain streaming pipelines using technologies such ...

container-related issues in production environments Implement and maintain monitoring, alerting, and logging solutions Support operational aspects of platforms such as: MongoDB, PostgreSQL, Apache Kafka, OpenSearch Required Skills & Experience Experience working in a DevOps or Platform Engineering role Strong knowledge of Linux and working knowledge of Windows Hands … PowerShell Familiarity with monitoring, alerting, and incident management practices Desirable Skills: Experience with GitOps tooling (Argo CD) Experience with Bamboo and Bitbucket Knowledge of Kafka, MongoDB, or PostgreSQL operations Experience operating OpenSearch or similar logging platforms Understanding of cloud security and access control (RBAC, secrets ...