DV Cleared - Data Engineer - ELK & NiFi

Job summary

We are seeking 3 Data Engineers to join our defence & security client on a contract basis.

Key skills required for this role

DV cleared, Data Engineer, ETL, Elastic Stack, Apache NiFi

Important

DV Cleared - Data Engineer - ELK & NiFi - Outside IR35

Location:

Worcester

Duration:

6 months initial contract

Security:

Active DV clearance required

In this role, you will help design, develop, and maintain secure and scalable data pipelines using the Elastic Stack (Elasticsearch, Logstash, Kibana) and Apache NiFi.

These positions are onsite in Worcester and require active UK DV clearance.

Key Responsibilities:

Design, develop, and maintain secure and scalable data pipelines using the Elastic Stack 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.

Troubleshoot, debug, and optimize data pipelines and Elastic Stack components.

Create dashboards and visualizations in Kibana for data-driven decision-making.

Ensure high availability and disaster recovery strategies for data systems.

Document data architecture, workflows, and security protocols for operational and audit purposes.

Candidate requirements:

UK DV Clearance or the ability to obtain it.

Experience as a Data Engineer in secure or regulated environments.

Expertise in the Elastic Stack for data ingestion, transformation, and visualization.

Strong experience with Apache NiFi for managing complex data flows.

Knowledge of security practices for handling sensitive data.

Understanding of data governance, quality, and compliance standards in secure settings.

Experience managing large-scale, real-time data pipelines.

Proficiency in scripting/programming languages such as Python or Bash.

Familiarity with cloud platforms (AWS, Azure, GCP) focusing on data security.

Excellent communication and collaboration skills.

Detail-oriented with a focus on data accuracy and security.

Proactive problem-solving skills for complex data pipeline issues.

Experience in government, defence, or regulated industries.

Knowledge of additional ETL tools like Kafka, Spark, Hadoop.

Experience with containerization and orchestration (Docker, Kubernetes).

Familiarity with monitoring tools such as Prometheus, Grafana, ELK.

Understanding of ML algorithms and their development.

Confidence in developing end-to-end solutions.

Experience with infrastructure as code tools like Terraform or Ansible.

Managed by:

Matchtech, a STEM Recruitment Specialist with over 40 years of experience.

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