freehire launches on Product Hunt on 26 August.

Follow →

Data Engineer OUTSIDE IR35

Defence Lead for LHH & Recruitment solutions- recruitment on demand , SOW, Managed Recruitment/RPO. Attraction and Assessment.

MUST HOLD DV CLEARANCE OUTSIDE IR35

This role requires strong expertise in building and managing data pipelines using the Elastic Stack (Elasticsearch, Logstash, Kibana) and Apache NiFi. The successful candidate will design, implement, and maintain scalable, secure data solutions, ensuring compliance with strict security standards and regulations. This is a UK based onsite role with the option of compressed hours.

  • Design, develop, and maintain secure and scalable data pipelines using the Elastic Stack (Elasticsearch, Logstash, Kibana) and Apache NiFi.
  • Implement data ingestion, transformation, and integration processes, ensuring data quality and security.
  • Collaborate with data architects and security teams to ensure compliance with security policies and data governance standards.
  • Manage and monitor large-scale data flows in real-time, ensuring system performance, reliability, and data integrity.
  • Develop robust data models to support analytics and reporting within secure environments.
  • Perform troubleshooting, debugging, and performance tuning of data pipelines and the Elastic Stack.
  • Build dashboards and visualizations in Kibana to enable data-driven decision-making.
  • Ensure high availability and disaster recovery for data systems, implementing appropriate backup and replication strategies.
  • Document data architecture, workflows, and security protocols to ensure smooth operational handover and audit readiness.

Qualifications

  • Experience working in government, defence, or highly regulated industries.
  • Experience with additional data processing and ETL tools like Apache Kafka, Spark, or Hadoop.
  • Familiarity with containerization and orchestration tools such as Docker and Kubernetes.
  • Experience with monitoring and alerting tools such as Prometheus, Grafana, or ELK for data infrastructure.
  • Understanding of ML algorithms, their development and implementation.
  • Confidence developing end-to-end solutions.
  • Experience with infrastructure as code e.g. Terraform, Ansible.

Seniority level

  • Mid-Senior level

Employment type

  • Contract

Job function & Industries

  • Information Technology and Analyst
  • Defense and Space Manufacturing and Space Research and Technology

See also

Tailor your CV for this role?

We couldn't check your fit for this role — add a CV to your profile to see it next time.

A new version of freehire is available