Shape the Future of AIJoin one of the UK's fastest-growing companies and become a Professional Development Expert in Artificial Intelligence.

View Roles

DV Cleared - Data Engineer - ELK & NiFi

Matchtech
Birmingham
1 month ago
Applications closed

Related Jobs

View all jobs

DV Cleared Data Engineer

Senior Data Engineer - DV Cleared

Data Scientist

GIS Data Engineer (Security-Cleared)

Data Engineers with DV Clearance (Developed Vetting)

ArcSight Data Engineer (DV Security Clearance)

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.

#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

10 Machine‑Learning Recruitment Agencies in the UK You Should Know (2025 Job‑Seeker Guide)

With deep‑learning projects now integral across healthcare, finance and tech, UK demand for machine‑learning talent is booming. Lightcast shows +50 % YoY growth in UK adverts referencing “machine learning,” “deep learning,” “computer vision” or “reinforcement learning” in Q1 2025. Monthly vacancies sit around 1,800–2,100, but certified ML specialists number fewer than 15,000. Specialist recruiters help candidates access hidden roles, competitive packages, and structured interview prep. How we screened: Only UK‑registered agencies with clear ML/AI or Data practices Agencies that posted ≥ 5 UK ML roles between March and June 2025

Machine Learning Jobs Skills Radar 2026: Emerging Tools, Frameworks & Platforms to Learn Now

Machine learning is no longer confined to academic research—it's embedded in how UK companies detect fraud, recommend content, automate processes & forecast risk. But with model complexity rising and LLMs transforming workflows, employers are demanding new skills from machine learning professionals. Welcome to the Machine Learning Jobs Skills Radar 2026—your annual guide to the top languages, frameworks, platforms & tools shaping machine learning roles in the UK. Whether you're an aspiring ML engineer or a mid-career data scientist, this radar shows what to learn now to stay job-ready in 2026.

How to Find Hidden Machine Learning Jobs in the UK Using Professional Bodies like BCS, Turing Society & More

Machine learning (ML) continues to transform sectors across the UK—from fintech and retail to healthtech and autonomous systems. But while the demand for ML engineers, researchers, and applied scientists is growing, many of the best opportunities are never posted on traditional job boards. So, where do you find them? The answer lies in professional bodies, academic-industry networks, and tight-knit ML communities. In this guide, we’ll show you how to uncover hidden machine learning jobs in the UK by engaging with groups like the BCS (The Chartered Institute for IT), Turing Society, Alan Turing Institute, and others. We’ll explore how to use member directories, CPD events, SIGs (Special Interest Groups), and community projects to build connections, gain early access to job leads, and raise your professional profile in the ML ecosystem.