At a Glance
- Tasks: Design and build secure, scalable data platforms for critical operations.
- Company: Leading global technology and defence firm with mission-critical solutions.
- Benefits: Competitive salary, career growth, and the chance to work on impactful projects.
- Other info: Active DV Clearance needed; supportive application process available.
- Why this job: Join a team solving complex problems in a secure and innovative environment.
- Qualifications: Experience in data engineering, Python, SQL, and Apache NiFi required.
The predicted salary is between 63000 - 77000 £ per year.
Senior Data Engineer (DV Cleared) | Global Defence & Technology | SW England
We're partnering with a leading global technology and defence firm that delivers mission-critical solutions across some of the UK's most secure and complex environments.
As their data capabilities continue to expand, they are seeking a Senior Data Engineer to play a key role in designing and delivering secure, scalable data platforms that support critical operational and strategic outcomes.
What You'll Do
- Design, build and maintain secure, scalable data platforms across ingestion, storage, processing and analytics workloads.
- Develop robust data pipelines using Apache Ni Fi, Python and SQL, integrating complex data from APIs and enterprise systems.
- Define and implement data models, schemas, data contracts and Interface Control Documents (ICDs) to support reliable system integration.
- Drive data quality, governance, lineage and traceability standards, ensuring data remains accurate, trusted and auditable.
- Collaborate closely with engineers, analysts, data scientists and customer stakeholders to deliver resilient, production-ready solutions.
Experience needed
- Proven experience delivering data engineering solutions within complex project or production environments.
- Strong hands-on experience with Python and SQL, building and optimising scalable data pipelines.
- Expertise with Apache Ni Fi and data orchestration across multiple sources and systems.
- Experience designing data models, schemas, data contracts and integration frameworks.
- Strong understanding of REST API integration, Parquet data formats and S3-compatible object storage.
- Experience deploying or supporting data platforms within Open Shift or Kubernetes environments.
- Knowledge of Git Lab CI/CD and modern software delivery practices.
- Understanding of data validation, assurance, metadata management, lineage and data governance principles.
- Strong stakeholder engagement, problem-solving and communication skills.
- Active DV Clearance required
If you're an experienced Data Engineer who enjoys solving complex problems, influencing technical direction and building secure data platforms that make a measurable impact, we'd love to hear from you.
Please share your CV for a confidential discussion.
We are happy to provide application and/or accessibility support, please contact your Marks Sattin or Grafton consultant directly to discuss your needs.
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Senior Data Engineer (DV Cleared) | Defence Tech | SW UK employer: Marks Sattin Careers
Join a leading independent accountancy and advisory firm in Leeds or Manchester, where you will benefit from a supportive work culture that values autonomy and professional growth. With a diverse client portfolio and a commitment to employee development, this firm offers excellent benefits and a collaborative environment, making it an ideal place for Corporate Tax Managers looking to enhance their skills and advance their careers.
StudySmarter Expert Advice🤫
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We think you need these skills to ace Senior Data Engineer (DV Cleared) | Defence Tech | SW UK
Some tips for your application 🫡
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Craft a Tailored Cover Letter:For a full-time role at Marks Sattin Careers, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
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✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
