At a Glance
- Tasks: Build and optimise secure, large-scale data platforms in a dynamic environment.
- Company: Leading consulting and technology organisation focused on defence and national security.
- Benefits: Remote work, competitive pay, and opportunities to tackle complex engineering challenges.
- Other info: Join a collaborative team with a focus on innovation and career growth.
- Why this job: Make a real impact by working on mission-critical systems and cutting-edge technology.
- Qualifications: DV clearance, experience in data engineering, and strong cloud-native skills.
The predicted salary is between 60000 - 80000 € per year.
Datatech Analytics is partnering with a leading consulting and technology organisation delivering secure, large-scale data platforms across defence, national security and critical infrastructure.
We’re looking to speak with DV cleared Lead Data Engineers and senior platform-focused engineers who still enjoy building, solving problems and staying close to delivery.
Key responsibilities include:
- Building and scaling modern data platforms across highly secure environments
- Working across the full engineering lifecycle from ingestion through to consumption and optimisation
- Designing and building end-to-end data pipelines
- Engineering scalable batch and real-time data platforms
- Optimising cloud-native infrastructure and platform performance
- Supporting modern lakehouse, streaming and distributed data environments
Required skills:
- Python, SQL
- AWS, Azure or GCP
- Streaming, lakehouse and modern data platform architectures
- Strong background building secure, production-scale data platforms
- Strong understanding of cloud-native and distributed data environments
- Engineers who still enjoy staying close to technology and implementation
If you’re DV cleared and interested in building genuinely mission-critical systems, it’s worth a conversation.
Data Engineer Contract (Remote) in Manchester employer: Datatech Analytics
Datatech Analytics is an exceptional employer, offering a dynamic work culture that prioritises innovation and collaboration in the field of data engineering. With a focus on employee growth, we provide opportunities to tackle complex engineering challenges while working on secure, large-scale data platforms that have a meaningful impact on national security and critical infrastructure. Our remote work flexibility allows for a balanced lifestyle, making it an ideal environment for those passionate about technology and problem-solving.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer Contract (Remote) in Manchester
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work in secure environments. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, SQL, and cloud platforms like AWS or Azure. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of data pipelines and cloud-native architectures. Practice explaining your thought process while solving problems; it’s all about demonstrating your engineering mindset.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities for DV cleared engineers looking to make an impact. Plus, it’s a great way to get noticed by hiring managers directly.
We think you need these skills to ace Data Engineer Contract (Remote) in Manchester
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your experience with data platforms, cloud environments, and any relevant technologies like Python and SQL. We want to see how you fit into our world!
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 background aligns with our mission. Don’t forget to mention your DV clearance – it’s a big plus for us!
Showcase Your Projects:If you've worked on any interesting projects, especially those involving secure data platforms or cloud-native solutions, make sure to include them. We love seeing real-world applications of your skills, so don’t hold back!
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 shows you’re keen on joining our team!
How to prepare for a job interview at Datatech Analytics
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, like Python, SQL, and cloud platforms such as AWS, Azure, or GCP. Brush up on your knowledge of streaming and lakehouse architectures, as you might be asked to discuss how you've used these in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of complex engineering challenges you've faced and how you tackled them. Think about situations where you had to optimise performance or ensure security in production-grade systems, as these are key aspects of the role.
✨Understand the Full Engineering Lifecycle
Familiarise yourself with the entire data pipeline process, from ingestion to consumption and optimisation. Be ready to discuss how you’ve contributed to each stage in previous roles, as this will demonstrate your comprehensive understanding of data engineering.
✨Be Ready for Technical Questions
Expect technical questions that test your knowledge of building secure, scalable data platforms. Practice explaining your thought process clearly and concisely, as communication is just as important as technical skills in this role.
