At a Glance
- Tasks: Design and implement secure, scalable data pipelines using Elastic Stack and Apache NiFi.
- Company: Join a leading engineering and technology programme focused on high-performance data solutions.
- Benefits: Competitive hourly rate, work on cutting-edge projects, and collaborate with top professionals.
- Other info: Opportunity for career growth in a diverse and inclusive team.
- Why this job: Make a real impact in a mission-critical environment while ensuring data security and resilience.
- Qualifications: Hands-on experience with Elasticsearch, Logstash, Kibana, and Apache NiFi required.
The predicted salary is between 51000 - 68000 € per year.
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 transfer and operational handovers to internal teams
- Collaborate with engineering, infrastructure and DevOps teams across the programme
WHAT WE'RE LOOKING FOR
- Strong hands-on experience with: Elasticsearch, Logstash, Kibana, Apache NiFi
- Proven experience designing and implementing enterprise-scale data pipelines
- Background working within secure or regulated environments such as defence, government or finance
- Strong understanding of: Data ingestion and processing frameworks, Real-time and batch processing architectures, Data modelling for analytics, Distributed system troubleshooting and optimisation
- Knowledge of: Encryption and secure data handling, RBAC and audit controls, DevOps and CI/CD principles, Git/version control systems
- Active DV Clearance essential
- Sole British National essential
DESIRABLE EXPERIENCE
- AWS, Azure or GCP within secure environments
- Docker and Kubernetes
- Kafka, Spark or additional data engineering technologies
WHY APPLY?
This is an opportunity to work on highly secure, technically advanced programmes within a complex and mission-critical environment. You'll be joining a team delivering enterprise-scale data solutions where security, resilience and performance are central to operational success.
Senior Data Engineer in Bristol employer: Winsearch
Join a leading engineering and technology programme in Bristol as a Senior Data Engineer, where you'll be part of a dynamic team dedicated to delivering secure and high-performance data solutions. Our work culture fosters collaboration and innovation, providing ample opportunities for professional growth while ensuring compliance with stringent security standards. With a focus on advanced technologies like the Elastic Stack and Apache NiFi, this role offers a unique chance to contribute to mission-critical projects in a supportive environment that values diversity and expertise.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer in Bristol
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage on platforms like LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by practising common questions related to data engineering and the specific technologies mentioned in the job description. We recommend doing mock interviews with friends or using online resources to boost your confidence.
✨Tip Number 3
Showcase your skills through projects! If you’ve worked on relevant data engineering projects, make sure to highlight them in conversations or during interviews. Having tangible examples can really set you apart from other candidates.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Data Engineer in Bristol
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with Elasticsearch, Apache NiFi, and any relevant projects that showcase 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 hands-on experience in secure environments and how you can contribute to our mission of delivering high-performance data solutions.
Showcase Your Technical Skills:Don’t forget to list all your technical skills relevant to the job description. Include your experience with data ingestion frameworks, real-time processing, and any tools like Docker or Kubernetes that you’ve worked with.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates!
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 ingestion, transformation, and processing frameworks. Be ready to discuss specific projects where you've implemented these technologies.
✨Showcase Your Security Savvy
Since this role requires working in a regulated environment, be prepared to talk about your experience with security standards. Highlight any work you've done with encryption, RBAC, or audit logging, and how you ensured compliance in past projects.
✨Prepare for Scenario Questions
Expect questions that assess your problem-solving skills in real-time and batch processing scenarios. Think of examples where you had to troubleshoot or optimise data pipelines, and be ready to explain your thought process.
✨Collaborate and Communicate
This role involves working closely with various teams, so demonstrate your collaboration skills. Share experiences where you’ve successfully worked with engineering, infrastructure, or DevOps teams, and how you facilitated knowledge transfer.
