At a Glance
- Tasks: Design and deploy data pipelines for defence and security projects.
- Company: Leading-edge UK consulting and technology organisation.
- Benefits: Hybrid working, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with agile practices and dynamic project work.
- Why this job: Make a real impact in defence and security with cutting-edge data technology.
- Qualifications: DV clearance, experience in data pipeline design, and strong skills in Python and SQL.
The predicted salary is between 36000 - 60000 £ per year.
A progressive, leading-edge UK consulting and technology organisation is hiring Data Engineers to deliver mission-critical work across defence and security programmes, building modern data platforms and production-grade pipelines that enable better decisions at pace. Active DV clearance is essential, we are seeking DV cleared candidates only.
The role
You'll design and deploy production-grade data pipelines, from ingestion through to consumption, within a modern big data architecture. Work is delivery focused and delivered using agile engineering practices.
Typical responsibilities
- Build and operate robust pipelines across ingestion, processing, and consumption
- Use scripting, APIs, and SQL to extract, transform, and curate data
- Process large structured and unstructured datasets, integrating multiple sources
- Collaborate with stakeholders and delivery teams to drive outcomes
Core skills (indicative)
- Production pipeline design and deployment experience
- Strong engineering capability with Python, SQL, plus big data tooling (e.g., Spark, and Java/Scala where relevant)
- AWS, Azure, GCP
Working pattern
Hybrid working, with the team on client site or in the office a minimum of two days per week. Actual time and location will vary by role or assignment.
Data Engineer DV Cleared employer: Datatech
Datatech is an exceptional employer that fosters a dynamic and collaborative work culture in the heart of London. With a strong emphasis on employee growth, you will have ample opportunities to mentor and lead a talented team while working on innovative data solutions. The hybrid work model not only promotes flexibility but also encourages a balanced work-life integration, making it an ideal place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer DV Cleared
✨Tip Number 1
Network like a pro! Reach out to your connections in the defence and security sectors. Attend meetups or webinars related to data engineering, and don’t be shy about introducing yourself. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines and projects. Use platforms like GitHub to share your code and demonstrate your engineering capabilities. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical skills, especially in Python, SQL, and big data tools. Practice common interview questions related to data engineering and be ready to discuss your past projects in detail.
✨Tip Number 4
Apply through our website! We’ve got some fantastic opportunities waiting for you. Make sure to tailor your application to highlight your DV clearance and relevant experience. Let’s get you that dream job in data engineering!
We think you need these skills to ace Data Engineer DV Cleared
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with production-grade data pipelines and big data tools like Spark. We want to see how your skills align with the role, so don’t be shy about showcasing your engineering capabilities!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how your DV clearance makes you a perfect fit for our team. Keep it concise but impactful!
Showcase Relevant Projects:If you've worked on any projects that involved data ingestion, processing, or consumption, make sure to mention them. We love seeing real-world applications of your skills, so include any relevant examples that demonstrate your expertise.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just follow the prompts!
How to prepare for a job interview at Datatech
✨Know Your Data Pipelines
Make sure you can talk confidently about your experience with building and operating data pipelines. Be ready to discuss specific projects where you've designed production-grade pipelines, and how you tackled challenges along the way.
✨Brush Up on Your Tech Skills
Since the role requires strong engineering capabilities in Python, SQL, and big data tools like Spark, ensure you're up to date with these technologies. Practise coding problems or scenarios that might come up during the interview to demonstrate your technical prowess.
✨Understand Agile Methodologies
Familiarise yourself with agile engineering practices, as this is a delivery-focused role. Be prepared to share examples of how you've worked in agile teams and contributed to successful project outcomes.
✨Showcase Your Collaboration Skills
This position involves working closely with stakeholders and delivery teams. Think of instances where you've collaborated effectively, and be ready to explain how you drove outcomes through teamwork and communication.
