At a Glance
- Tasks: Design and manage secure data pipelines using the Elastic Stack and Apache NiFi.
- Company: Join a leading defence recruitment solutions provider with a focus on innovation.
- Benefits: Competitive contract rates, flexible hours, and opportunities for professional growth.
- Why this job: Make a real impact in the defence sector while working with cutting-edge technology.
- Qualifications: Experience in regulated industries and strong skills in data processing tools required.
- Other info: Onsite role with options for compressed hours and excellent career advancement.
The predicted salary is between 48000 - 72000 Β£ per year.
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.
Data Engineer OUTSIDE IR35 employer: LHH
Contact Detail:
LHH Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land Data Engineer OUTSIDE IR35
β¨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or even local events related to data engineering. You never know who might have a lead on that perfect job or can give you insider tips.
β¨Show Off Your Skills
Create a portfolio showcasing your projects, especially those involving the Elastic Stack and Apache NiFi. Having tangible examples of your work can really set you apart when chatting with potential employers.
β¨Ace the Interview
Prepare for technical interviews by brushing up on your knowledge of data pipelines and security standards. Practice common interview questions and be ready to discuss how you've tackled challenges in past roles.
β¨Apply Through Us!
Donβt forget to check out our website for the latest job openings. Applying directly through us not only gives you access to exclusive roles but also helps us match you with opportunities that fit your skills perfectly!
We think you need these skills to ace Data Engineer OUTSIDE IR35
Some tips for your application π«‘
Tailor Your CV: Make sure your CV highlights your experience with the Elastic Stack and Apache NiFi. We want to see how you've built and managed data pipelines, so donβt hold back on those details!
Showcase Your Security Knowledge: Since this role requires compliance with strict security standards, be sure to mention any relevant experience in government or defence sectors. We love seeing candidates who understand the importance of data security.
Be Clear and Concise: When writing your cover letter, keep it straightforward. We appreciate clarity, so get straight to the point about why youβre a great fit for the role and how your skills align with our needs.
Apply Through Our Website: Donβt forget to submit your application through our website! Itβs the best way for us to receive your details and ensures youβre considered for the role. We canβt wait to hear from you!
How to prepare for a job interview at LHH
β¨Know Your Tech Inside Out
Make sure youβre well-versed in the Elastic Stack and Apache NiFi. Brush up on your knowledge of data pipelines, ingestion processes, and security compliance. Being able to discuss specific projects where you've implemented these technologies will really impress the interviewers.
β¨Showcase Your Problem-Solving Skills
Prepare to discuss challenges you've faced in previous roles, especially around troubleshooting and performance tuning of data pipelines. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight how you overcame obstacles.
β¨Understand the Security Landscape
Since this role requires DV clearance and involves working in a highly regulated environment, be ready to talk about your experience with security protocols and data governance. Familiarise yourself with the specific security standards relevant to defence and government sectors.
β¨Prepare Questions for Them
Interviews are a two-way street! Prepare insightful questions about their data architecture, team dynamics, and future projects. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.