At a Glance
- Tasks: Design and deploy data pipelines for defence and security programmes.
- Company: Leading-edge UK consulting and technology organisation.
- Benefits: Hybrid working, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on agile engineering practices.
- Why this job: Make a real impact in defence while working with cutting-edge data technologies.
- Qualifications: Active DV clearance, experience in Python, SQL, and big data tools.
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 involves designing and deploying 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 Analytics
Datatech Analytics is an exceptional employer, offering a dynamic work culture that prioritises innovation and collaboration within the secure government and defence sectors. Employees benefit from meaningful projects that have a direct impact on national security, alongside opportunities for professional growth and development in cutting-edge technologies. With a hybrid working model and a focus on employee well-being, this role provides a unique chance to contribute to critical transformation programmes while enjoying a supportive and engaging workplace.
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 industry meetups or webinars to meet potential employers and get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines and projects. This is your chance to demonstrate your engineering capabilities with Python, SQL, and big data tools.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss your experience with production-grade data pipelines. Practice common interview questions related to data engineering.
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities for DV-cleared Data Engineers. Don’t miss out on your chance to join a leading-edge organisation making a real impact.
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. We want to see how your skills align with the role, so don’t be shy about showcasing your Python and SQL expertise!
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 engaging and relevant to the job description.
Showcase Your Projects:If you've worked on any cool projects involving data ingestion or processing, make sure to mention them! We love seeing real-world applications of your skills, so include links or descriptions of your work where possible.
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 Analytics
✨Know Your Data Inside Out
Make sure you’re well-versed in the data technologies mentioned in the job description, like Python, SQL, and big data tools. Brush up on your knowledge of production-grade pipelines and be ready to discuss how you've built or operated them in the past.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled challenges in data engineering. Think about times when you had to process large datasets or integrate multiple sources, and be ready to explain your thought process and the outcomes.
✨Understand Agile Methodologies
Since the role involves agile engineering practices, it’s crucial to demonstrate your familiarity with agile methodologies. Be prepared to discuss how you've worked in agile teams before and how it has influenced your approach to delivering projects.
✨Engage with Stakeholders
Collaboration is key in this role, so think about how you’ve worked with stakeholders in previous positions. Be ready to talk about how you’ve driven outcomes through effective communication and teamwork, as this will show you can thrive in a delivery-focused environment.
