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.
- Why this job: Make a real impact in defence and security with cutting-edge data technology.
- Qualifications: Active DV clearance, experience in production pipeline design, and strong Python/SQL skills.
- Other info: Collaborative environment with agile practices and dynamic projects.
The predicted salary is between 48000 - 72000 £ 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 include:
- Building and operating robust pipelines across ingestion, processing, and consumption
- Using scripting, APIs, and SQL to extract, transform, and curate data
- Processing large structured and unstructured datasets, integrating multiple sources
- Collaborating 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 in London employer: Datatech
Contact Detail:
Datatech Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer DV Cleared in London
✨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 with Python, SQL, and big data tools. This will make you stand out when applying through our website.
✨Tip Number 3
Prepare for those interviews! Brush up on your knowledge of production-grade data pipelines and agile practices. Be ready to discuss how you've tackled challenges in past projects, especially with large datasets. Practice common interview questions to boost your confidence.
✨Tip Number 4
Stay updated on industry trends! Follow blogs, podcasts, and news related to data engineering and cloud technologies. This will not only help you in interviews but also show potential employers that you're passionate about the field. And remember, apply through our website for the best chances!
We think you need these skills to ace Data Engineer DV Cleared in London
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, SQL, and cloud experience!
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 previous work has prepared you for this role. We love seeing enthusiasm and a clear connection to our mission.
Showcase Your Projects: If you've worked on any relevant projects, make sure to mention them! Whether it's building data pipelines or working with large datasets, we want to know what you've done and how it relates to the job. Real-world examples can really make your application stand out.
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 and you’ll be on your way!
How to prepare for a job interview at Datatech
✨Know Your Data Inside Out
Make sure you’re well-versed in the data engineering concepts relevant to the role. Brush up on your knowledge of production-grade pipelines, big data architecture, and the tools mentioned in the job description like Python, SQL, and Spark. Being able to discuss these topics confidently will show that you’re ready for the challenges ahead.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've built or operated robust data pipelines. Think about challenges you faced and how you overcame them. This will demonstrate your engineering capability and your ability to deliver under pressure, which is crucial for this role.
✨Familiarise Yourself with Agile Practices
Since the role involves agile engineering practices, it’s a good idea to brush up on agile methodologies. Be ready to talk about how you’ve worked in agile teams before and how you’ve contributed to successful project deliveries. This will highlight your adaptability and teamwork skills.
✨Understand the Importance of Security Clearance
Given that active DV clearance is essential, be prepared to discuss your experience with security protocols and why they matter in data engineering, especially in defence and security programmes. This shows that you take the role seriously and understand the context in which you’ll be working.