At a Glance
- Tasks: Design and implement scalable data pipelines using Elastic Stack and Apache NiFi.
- Company: Join a secure engineering programme focused on high-performance data solutions.
- Benefits: Competitive rate of £68 per hour with opportunities for professional growth.
- Other info: Work on-site in Bristol with a focus on security and compliance.
- Why this job: Make an impact in a regulated environment while working with cutting-edge technologies.
- Qualifications: Experience in data engineering and familiarity with Elastic Stack required.
The predicted salary is between 136000 - 144000 € per year.
Location: Bristol
Contract: Outside IR35
Rate: £68 per hour
Security Clearance: DV Cleared
Working Pattern: 5 Days On Site
Nationality Requirement: Sole British Nationals Only
THE ROLE
We are recruiting on behalf of a highly secure engineering and technology programme seeking an experienced Senior Data Engineer to support the design, development and delivery of secure, scalable and high-performance data solutions within a regulated environment. This role will focus heavily on the Elastic Stack and Apache NiFi, supporting enterprise-scale data ingestion, transformation and analytics capabilities across complex secure systems. The successful candidate will play a key role in architecting resilient data platforms, optimising real-time and batch processing pipelines, and ensuring compliance with strict governance and security standards.
KEY RESPONSIBILITIES
- Data Architecture & Engineering - Design and implement scalable, resilient data pipeline architectures using Elastic Stack and Apache NiFi
- Develop secure frameworks for data ingestion, transformation and integration
- Build and maintain batch and real-time data processing pipelines
- Ensure high standards of data quality, integrity and traceability across all systems
- Elastic Stack & Platform Management - Configure, optimise and maintain Elasticsearch clusters for performance and resilience
- Develop and maintain Logstash pipelines for efficient data processing
- Create dashboards and visualisations within Kibana to support operational and strategic reporting
- Monitor and manage large-scale data flows and platform performance in real time
- Carry out troubleshooting, root cause analysis and performance tuning activities
- Security, Governance & Resilience - Work closely with security and governance teams to ensure compliance with stringent security standards
- Implement secure data handling processes including encryption, RBAC and audit logging
- Support clustering, replication and failover strategies to ensure system availability
- Develop backup, disaster recovery and data retention strategies
- Documentation & Collaboration - Produce technical documentation covering architecture, workflows and security controls
- Support knowledge sharing and collaboration across teams
Locations
Senior Data Engineer in Newport, Wales employer: Winsearch
As a Senior Data Engineer in Bristol, you will join a dynamic and innovative team dedicated to delivering cutting-edge data solutions within a highly secure environment. The company fosters a collaborative work culture that prioritises employee growth through continuous learning opportunities and hands-on experience with advanced technologies like the Elastic Stack and Apache NiFi. With a commitment to excellence and compliance, this role offers a unique chance to contribute to impactful projects while enjoying competitive rates and a supportive workplace.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer in Newport, Wales
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the industry. Attend meetups, webinars, or even local tech events. You never know who might have the inside scoop on job openings or can refer you directly to hiring managers.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Elastic Stack and Apache NiFi. This gives potential employers a tangible look at what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. Practice explaining your thought process when designing data pipelines or troubleshooting issues. Confidence and clarity can make all the difference!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you a leg up in the process. Plus, it’s super easy to keep track of your applications that way!
We think you need these skills to ace Senior Data Engineer in Newport, Wales
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with Elastic Stack and Apache NiFi, and don’t forget to showcase any relevant projects that demonstrate your skills in data architecture and engineering.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for this role. Mention your passion for data solutions and how your background aligns with the responsibilities outlined in the job description.
Showcase Your Technical Skills:When filling out your application, be sure to highlight your technical skills clearly. Include specific examples of how you've designed and implemented data pipelines, and any experience you have with security and governance in data handling.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Winsearch
✨Know Your Tech Inside Out
Make sure you’re well-versed in the Elastic Stack and Apache NiFi. Brush up on your knowledge of data pipeline architectures, as you’ll likely be asked to discuss how you’ve implemented these technologies in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled challenges in data engineering. Think about times when you optimised performance or resolved issues with data quality and integrity—these stories will demonstrate your hands-on experience.
✨Understand Security Standards
Since this role involves working in a regulated environment, be ready to discuss security protocols. Familiarise yourself with secure data handling processes, encryption methods, and compliance measures to show you take governance seriously.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare insightful questions about their data architecture and team dynamics. This not only shows your interest but also helps you gauge if the company is the right fit for you.
