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For Companies At a Glance
- Tasks: Design and build secure data solutions while collaborating with clients on innovative projects.
- Company: Leading tech firm focused on data engineering and client partnerships.
- Benefits: Competitive salary, security clearance support, and opportunities for professional growth.
- Why this job: Join a dynamic team and make a real impact in the world of data engineering.
- Qualifications: Experience in software and data engineering, with skills in Python and SQL.
- Other info: Exciting career progression in a fast-paced environment with mentorship opportunities.
The predicted salary is between 36000 - 60000 £ per year.
We are hiring Full-Stack Data Engineers across multiple levels (Junior through Senior Manager) to design, build, and deliver secure, scalable data solutions for complex client environments. This is a hands-on engineering role where you will work across data ingestion, transformation, operational workflows, and decision-support systems. You’ll partner closely with client stakeholders to translate ambiguous problem statements into robust, production-ready solutions. Engineers in this role combine strong software fundamentals with a consultative mindset, contributing both technically and strategically to long-term client outcomes.
Key Responsibilities
- Solution Design: Analyse complex client challenges and architect secure, scalable data and workflow solutions.
- Data Engineering: Build and maintain robust data pipelines, integrations, and transformation processes to support analytics and operational use cases.
- Workflow Development: Design and implement operational workflows and decision-support tools that improve how organisations operate day-to-day.
- Applied AI & Analytics: Collaborate with specialists to integrate machine learning and advanced analytics into real-world systems.
- Engineering Excellence: Write high-quality, maintainable code and contribute to scalable system design across the stack.
- Mentorship & Knowledge Sharing: Support junior engineers, promote best practices, and contribute to internal capability development.
- Client Partnership: Work closely with client teams, building trusted relationships and acting as a technical advisor throughout delivery.
Required Skills & Experience
- Strong experience in software and data engineering, with proficiency in: Python, SQL, TypeScript (or similar modern frontend/backend languages).
- Solid understanding of: Data pipelines and ETL processes, Workflow orchestration and system integration, Designing solutions in complex, regulated environments.
- Experience working with large-scale data platforms or decision-support systems (vendor-specific tools not required).
- Strong problem-solving skills and the ability to communicate clearly with both technical and non-technical stakeholders.
- Interest in AI, machine learning, and emerging technologies, with practical application in production systems.
Security Clearance (Essential)
Active security clearance is a strict requirement for this role. Hold current, valid security clearance (level to be discussed during screening), or be eligible and willing to maintain clearance long-term. Due to the nature of the work, applications without appropriate clearance or eligibility cannot be considered.
Full-Stack Data Engineer (Security Cleared) employer: TechYard
Contact Detail:
TechYard Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Full-Stack Data Engineer (Security Cleared)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential employers on LinkedIn. Building relationships can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving data pipelines and AI. This gives you a chance to demonstrate your hands-on experience and problem-solving abilities.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss how you've tackled complex challenges and how you can contribute to client outcomes.
✨Tip Number 4
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 Full-Stack Data Engineer (Security Cleared)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences mentioned in the job description. Highlight your experience with Python, SQL, and TypeScript, and don’t forget to showcase any work you've done in data engineering or building data pipelines.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for this role. Share specific examples of how you've tackled complex problems and designed scalable solutions in the past. This is your chance to show off your consultative mindset!
Showcase Your Problem-Solving Skills: In your application, emphasise your strong problem-solving abilities. We want to see how you approach challenges and communicate solutions, especially when working with both technical and non-technical stakeholders.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and allows us to keep track of all applicants efficiently. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at TechYard
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like Python, SQL, and TypeScript. Brush up on your understanding of data pipelines and ETL processes, as these will likely come up during technical discussions.
✨Understand Client Needs
Prepare to discuss how you would approach translating complex client challenges into effective data solutions. Think about examples from your past experience where you’ve successfully partnered with stakeholders to deliver results.
✨Showcase Problem-Solving Skills
Be ready to demonstrate your problem-solving abilities. You might be asked to tackle a hypothetical scenario or case study, so practice articulating your thought process clearly and logically.
✨Highlight Your Mentorship Experience
If you have experience mentoring junior engineers or promoting best practices, make sure to highlight this. Companies value candidates who can contribute to team development and knowledge sharing, so share specific examples of how you've done this in the past.
