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- Tasks: Design and manage secure data pipelines using Elastic Stack and Apache NiFi.
- Company: Join a leading defence prime in Bristol, shaping the future of data engineering.
- Benefits: Enjoy flexible working hours and a collaborative team environment.
- Why this job: Be part of a mission-driven company with a focus on security and innovation.
- Qualifications: 3+ years as a Data Engineer with expertise in Elastic Stack and Apache NiFi required.
- Other info: Must have UK DV Clearance or the ability to obtain it.
The predicted salary is between 36000 - 60000 £ per year.
An exciting opportunity has arisen with our client, a leading defence prime, who are now looking to recruit a systems engineer/data engineer to work out of their Bristol site. 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.
The role will include:
- 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.
Must Have:
- UK DV Clearance or the ability to obtain it.
- British.
- 3+ years of 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.
Please send your CV in the first instance.
Data Engineer ( Elastic Stack & Apache NiFi) employer: Synergize Consulting
Contact Detail:
Synergize Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer ( Elastic Stack & Apache NiFi)
✨Tip Number 1
Familiarise yourself with the Elastic Stack and Apache NiFi by working on personal projects or contributing to open-source initiatives. This hands-on experience will not only enhance your skills but also give you practical examples to discuss during interviews.
✨Tip Number 2
Network with professionals in the data engineering field, especially those who have experience in secure environments. Attend industry meetups or webinars to connect with potential colleagues and learn about the latest trends and best practices.
✨Tip Number 3
Stay updated on compliance standards and security practices relevant to data handling. Understanding these regulations will not only prepare you for the role but also demonstrate your commitment to maintaining high security standards.
✨Tip Number 4
Prepare for technical interviews by practising common data engineering problems and scenarios, particularly those involving real-time data pipelines and troubleshooting. This will help you articulate your problem-solving approach effectively during the interview process.
We think you need these skills to ace Data Engineer ( Elastic Stack & Apache 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 built data pipelines, focusing on your role in ensuring data quality and security.
Showcase Relevant Skills: Emphasise your scripting and programming skills, particularly in Python and Bash. Mention any experience you have with cloud platforms like AWS, Azure, or GCP, especially in relation to data security.
Highlight Compliance Knowledge: Since this role requires knowledge of security practices and compliance standards, be sure to mention any relevant experience you have in regulated environments, including your understanding of data governance and security protocols.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss how your background aligns with their needs, particularly your ability to manage large-scale data flows and collaborate with cross-functional teams.
How to prepare for a job interview at Synergize Consulting
✨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 built or managed data pipelines, and be ready to explain the challenges you faced and how you overcame them.
✨Understand Security Standards
Since this role involves handling sensitive data, make sure you can articulate your knowledge of security practices. Be ready to discuss encryption, access control, and compliance standards you've worked with in previous roles.
✨Demonstrate Problem-Solving Abilities
Prepare examples of how you've troubleshot complex data pipeline issues in the past. Employers will appreciate a proactive problem-solving mindset, so think of specific instances where your interventions led to improved performance or reliability.
✨Communicate Effectively
Strong communication skills are essential for collaborating with cross-functional teams. Practice explaining technical concepts in simple terms, as you may need to convey complex ideas to non-technical stakeholders during the interview.
