At a Glance
- Tasks: Join our team to design and maintain secure data pipelines using ELK and NiFi.
- Company: Work with a leading defence and security client in Worcester.
- Benefits: Enjoy a competitive rate, fully onsite work, and the chance to enhance your skills.
- Why this job: Be part of a high-performing team making a real impact in data security.
- Qualifications: Active UK DV clearance and experience in secure environments required.
- Other info: Opportunity for growth in a regulated industry with cutting-edge technology.
The predicted salary is between 48000 - 72000 £ per year.
Location: Worcester
Duration: 6 month initial contract
Rate: (Outside IR35)
Security: Active DV clearance required
Role details:
We are looking for 3 x Data Engineers to join our defence & security client on a contract basis. You will helpdesign, develop, and maintain secure and scalable data pipelines using the Elastic Stack (Elasticsearch, Logstash, Kibana) and Apache NiFi
These roles are supporting our clients team in Worcester (fully onsite), and requires active UK DV clearance.
Key Responsibilities:
- 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 visualisations 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.
What we are looking for in you:
- UK DV Clearance or the ability obtain it.
- Experience working as a Data Engineer in secure or regulated environments.
- Expertise in the Elastic Stack (Elasticsearch, Logstash, Kibana) for data ingestion, transformation, indexing, and visualization.
- Strong experience with Apache NiFi for building and managing complex data flows and integration processes.
- Knowledge of security practices for handling sensitive data, including encryption, anonymization, and access control.
- Familiarity with data governance, data quality management, and compliance standards in secure environments.
- Experience in managing large-scale, real-time data pipelines and ensuring their performance and reliability.
- Strong scripting and programming skills in Python, Bash, or other relevant languages.
- Working knowledge of cloud platforms (AWS, Azure, GCP) with a focus on data security and infrastructure as code.
- Excellent communication skills with the ability to collaborate effectively with cross-functional teams.
- Detail-oriented with a focus on ensuring data accuracy, quality, and security.
- Proactive problem-solving mindset and ability to troubleshoot complex data pipeline issues
Desirable skills:
- Experience working in government, defence, or highly regulated industries with knowledge of relevant standards.
- 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
If you are a skilled Data Systems Engineer with the required security clearance and expertise, we would love to hear from you. Apply now to join our client\’s high-performing team in Worcester.
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DV Cleared - Data Engineer - ELK & NiFi employer: Defence
Contact Detail:
Defence Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land DV Cleared - Data Engineer - ELK & NiFi
✨Tip Number 1
Make sure to highlight your experience with the Elastic Stack and Apache NiFi during any networking opportunities. Engage with professionals in the field on platforms like LinkedIn, and share your insights or projects related to data engineering to showcase your expertise.
✨Tip Number 2
Join relevant online forums or communities focused on data engineering and security practices. Participating in discussions can help you stay updated on industry trends and may lead to connections that could refer you to job openings, including our positions at StudySmarter.
✨Tip Number 3
Consider attending industry conferences or meetups related to data engineering and security. These events are great for networking and can provide you with valuable insights into what employers are looking for, especially in regulated environments like defence.
✨Tip Number 4
If you have experience with cloud platforms, make sure to discuss this in conversations with potential employers. Understanding how to secure data in cloud environments is a key skill, and demonstrating your knowledge can set you apart from other candidates.
We think you need these skills to ace DV Cleared - Data Engineer - ELK & NiFi
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with the Elastic Stack and Apache NiFi. Include specific projects where you've designed and maintained data pipelines, focusing on your contributions to data quality and security.
Craft a Strong Cover Letter: In your cover letter, emphasise your active DV clearance and relevant experience in secure environments. Discuss how your skills align with the responsibilities outlined in the job description, particularly your ability to manage large-scale data flows.
Showcase Technical Skills: Clearly list your technical skills related to data engineering, including scripting languages like Python and Bash, as well as your familiarity with cloud platforms. Mention any experience with monitoring tools or containerisation that could set you apart.
Highlight Collaboration Experience: Since the role involves working with cross-functional teams, provide examples of past collaborations. Describe how you’ve worked with data architects and security teams to ensure compliance with data governance standards.
How to prepare for a job interview at Defence
✨Showcase Your Technical Skills
Be prepared to discuss your experience with the Elastic Stack and Apache NiFi in detail. Bring examples of past projects where you designed and maintained data pipelines, and be ready to explain your approach to ensuring data quality and security.
✨Understand Security Protocols
Since this role requires active DV clearance, demonstrate your understanding of security practices for handling sensitive data. Be ready to discuss encryption, anonymisation, and access control measures you've implemented in previous roles.
✨Collaborate and Communicate
Highlight your ability to work with cross-functional teams. Prepare to share examples of how you've collaborated with data architects and security teams to ensure compliance with data governance standards.
✨Problem-Solving Mindset
Prepare to discuss specific challenges you've faced in managing large-scale data flows and how you resolved them. Show that you have a proactive approach to troubleshooting and performance tuning of data pipelines.