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 while working with cutting-edge data technologies.
- Qualifications: Active DV clearance, experience in Python, SQL, and big data tools.
- Other info: Collaborative environment with a focus on agile engineering practices.
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 in Warrington employer: Datatech Analytics
Contact Detail:
Datatech Analytics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer DV Cleared in Warrington
✨Tip Number 1
Network like a pro! Reach out to your connections in the defence and security sectors. Attend meetups or webinars where you can chat with industry folks. 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 GitHub or a personal website to highlight your work with Python, SQL, and big data tools. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical skills and be ready to discuss your experience with production-grade data pipelines. Practice common interview questions related to data engineering and agile practices to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that match your skills. Keep an eye on our listings and make sure you’re one of the first to apply for that Data Engineer role!
We think you need these skills to ace Data Engineer DV Cleared in Warrington
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 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. Let us know what excites you about working in defence and security.
Showcase Your Projects: If you've worked on any relevant projects, make sure to mention them! Whether it's building data pipelines or processing large datasets, we love to see real-world examples of your work that demonstrate your engineering capabilities.
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 and straightforward!
How to prepare for a job interview at Datatech Analytics
✨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 architectures, 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 data pipelines. Think about challenges you faced and how you overcame them. This will demonstrate your engineering capability and your ability to deliver results in a fast-paced environment, which is crucial for this role.
✨Understand Agile Methodologies
Since the role involves agile engineering practices, it’s important to familiarise yourself with agile principles. Be ready to talk about how you've worked in agile teams before, your experience with sprints, and how you collaborate with stakeholders to drive outcomes. This will highlight your adaptability and teamwork skills.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare insightful questions about their current projects, team dynamics, or the technologies they use. This not only shows your interest in the role but also helps you gauge if the company is the right fit for you. Plus, it gives you a chance to engage in a meaningful conversation.