Platform Engineer

Unknown

RemotePosted July 30, 2026

About the role

Platform Engineer to support, maintain and further develop our Cloudera, Elastic Stack and Dataiku platform environment. The role combines platform operations, solution development, automation and user support. You will work closely with data engineers, data scientists, analysts and business stakeholders to deliver stable, scalable and efficient data and analytics solutions.

Responsibilities

Support, maintain and optimise Cloudera, Elastic Stack and Dataiku platforms
Design and develop data pipelines, workflows, dashboards and platform integrations
Build real-time streaming solutions using Apache Kafka
Develop custom scripts, plugins and integrations using Python, Scala and REST APIs
Design and automate ETL and data ingestion processes using Apache NiFi and Logstash
Create Kibana dashboards, reports, queries and search solutions

Platform Engineer

Unknown

RemotePosted July 30, 2026

About the role

Platform Engineer to support, maintain and further develop our Cloudera, Elastic Stack and Dataiku platform environment. The role combines platform operations, solution development, automation and user support. You will work closely with data engineers, data scientists, analysts and business stakeholders to deliver stable, scalable and efficient data and analytics solutions.

Responsibilities

Support, maintain and optimise Cloudera, Elastic Stack and Dataiku platforms
Design and develop data pipelines, workflows, dashboards and platform integrations
Build real-time streaming solutions using Apache Kafka
Develop custom scripts, plugins and integrations using Python, Scala and REST APIs
Design and automate ETL and data ingestion processes using Apache NiFi and Logstash
Create Kibana dashboards, reports, queries and search solutions

Support the deployment and operationalisation of machine learning models in Dataiku

Automate platform deployments and operations using Ansible, Terraform or similar tools

Implement CI/CD pipelines using GitHub Actions, Jenkins or comparable technologies

Troubleshoot platform, workflow and integration issues

Create reusable scripts, templates, libraries and technical documentation

Provide guidance, training and platform support to users and internal teams

Support occasional weekend or public holiday activities related to system changes or testing

Requirements

Strong experience with at least two of Cloudera, Elastic Stack, Dataiku DSS
Good knowledge of Hadoop ecosystem technologies such as HDFS, YARN, Hive, Spark and

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