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- Tasks: Join our team to design and maintain secure data pipelines using the Elastic Stack and Apache NiFi.
- Company: Work with a leading defence and security client in Worcester, focused on innovative data solutions.
- Benefits: Enjoy a competitive rate, fully onsite work, and the chance to enhance your skills in a secure environment.
- Why this job: Be part of a high-performing team making a real impact in defence and security through data engineering.
- Qualifications: Active UK DV clearance and experience as a Data Engineer in secure environments are essential.
- Other info: This is a 6-month contract role with opportunities for professional growth and collaboration.
The predicted salary is between 45000 - 63000 £ 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 help design, 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 to 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.
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 you highlight your experience with the Elastic Stack and Apache NiFi in any conversations or networking opportunities. These tools are crucial for the role, and demonstrating your hands-on experience can set you apart from other candidates.
✨Tip Number 2
Connect with professionals in the defence and security sector on platforms like LinkedIn. Engaging with industry-specific groups can provide insights into the company culture and expectations, which can be invaluable during interviews.
✨Tip Number 3
Stay updated on the latest trends and best practices in data engineering, especially regarding data security and compliance standards. Being knowledgeable about current developments can help you discuss relevant topics confidently during interviews.
✨Tip Number 4
Prepare to discuss specific projects where you've managed large-scale data pipelines. Be ready to explain your problem-solving approach and how you ensured data quality and security, as these are key aspects of the role.
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 key responsibilities outlined in the job description, particularly your ability to manage large-scale data flows.
Showcase Relevant Skills: Clearly list your technical skills related to data engineering, such as scripting in Python or Bash, and familiarity with cloud platforms. Mention any experience with monitoring tools like Prometheus or Grafana, as these are valuable for the role.
Highlight Collaboration Experience: Since the role requires collaboration with cross-functional teams, provide examples of past teamwork experiences. Describe how you effectively communicated and worked with others to achieve project goals, especially in regulated environments.
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. Highlight specific projects where you've designed and maintained data pipelines, and be ready to explain the challenges you faced and how you overcame them.
✨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, access control, and compliance standards relevant to secure environments.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills. Think about past experiences where you had to troubleshoot complex data pipeline issues or ensure data quality and integrity under pressure.
✨Communicate Effectively
Strong communication skills are essential for collaborating with cross-functional teams. Practice articulating your thoughts clearly and concisely, especially when explaining technical concepts to non-technical stakeholders.
