At a Glance
- Tasks: Design and maintain secure data pipelines using Elastic Stack and Apache NiFi.
- Company: Join a leading UK-based company focused on data security and compliance.
- Benefits: Enjoy a competitive rate of £78.70 per hour with flexible working hours.
- Why this job: Be part of a dynamic team ensuring data integrity in a secure environment.
- Qualifications: Must have UK DV Clearance and 3 years of Data Engineering experience.
- Other info: This is a 6-month contract role, primarily onsite in Bristol.
Senior Data Engineer
Read all the information about this opportunity carefully, then use the application button below to send your CV and application.
– Bristol
– 90% onsite
– 6 month contract
– £78.70 per hour, outside IR35
– Sole UK national and DV Clearance required 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.
TECHNICAL SKILLS Must Have • UK DV Clearance or the ability obtain it • 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 Nice To Have • 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 ADZN1_UKTJ
Senior Data Engineer employer: Morson Talent
Contact Detail:
Morson Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer
✨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 expertise can set you apart from other candidates.
✨Tip Number 2
Since this position requires UK DV Clearance, if you already have it, mention it upfront. If not, be prepared to discuss your ability to obtain it quickly, as this is a key requirement for the role.
✨Tip Number 3
Familiarize yourself with the specific security practices related to data handling in regulated environments. Being able to discuss these practices confidently will show that you understand the importance of compliance in this role.
✨Tip Number 4
Engage with professionals in the data engineering field through platforms like LinkedIn. Networking can provide insights into the company culture and expectations, which can be invaluable during interviews.
We think you need these skills to ace Senior Data Engineer
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 and managed data pipelines, emphasizing your role in ensuring data quality and security.
Craft a Strong Cover Letter: In your cover letter, explain why you're a great fit for this role. Mention your UK DV Clearance status and your experience in secure environments. Discuss your problem-solving skills and how you can contribute to the team.
Showcase Technical Skills: Clearly list your technical skills relevant to the job description, such as your expertise in Python, Bash, and cloud platforms. Provide examples of how you've used these skills in past roles to manage large-scale data flows.
Highlight Collaboration Experience: Since the role involves collaboration with data architects and security teams, include examples of how you've successfully worked in cross-functional teams. This will demonstrate your communication skills and ability to work effectively in a team environment.
How to prepare for a job interview at Morson Talent
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with the Elastic Stack and Apache NiFi in detail. Highlight specific projects where you designed and managed data pipelines, focusing on the challenges you faced and how you overcame them.
✨Demonstrate Security Awareness
Since this role requires compliance with strict security standards, be ready to talk about your knowledge of data security practices. Discuss how you've implemented encryption, anonymization, and access control in previous roles.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills. Think of examples 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 this role. Practice explaining technical concepts in a clear and concise manner, as you'll need to collaborate with cross-functional teams and document workflows and security protocols.