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For Companies At a Glance
- Tasks: Build and maintain data platforms for mission-critical systems using cutting-edge technologies.
- Company: Leading National Security engineering organisation with a focus on data and analytics.
- Benefits: Exclusive access to a unique open day event and networking opportunities.
- Other info: Limited spaces available for a low-pressure, engaging environment.
- Why this job: Explore real-world data challenges and make an impact in national security.
- Qualifications: Active SC clearance or eligibility; experience in data engineering is a plus.
The predicted salary is between 40000 - 60000 £ per year.
Location: Manchester (on-site event)
Clearance: Active SC clearance required (or eligibility)
Format: Invitation-only open day
Timing: Late May
The Opportunity
We’re partnering with a leading National Security engineering organisation to host a small, invite‑only open day at their Manchester site, focused on data and analytics engineering capability. This is an opportunity to explore an environment where data engineering sits at the heart of mission‑critical systems, supporting everything from real‑time data pipelines through to AI, analytics and large‑scale distributed processing. Teams bring together engineers, data specialists and domain experts to solve complex data problems across multiple environments. Engineers are encouraged to move between projects, work across disciplines and contribute to systems that have real‑world impact. The session will take place towards the end of May, with a limited number of spaces available.
The Role (Context for the Day)
As a Data Engineer in this environment, you would typically be responsible for building and maintaining the data platforms that underpin complex operational systems. Typical responsibilities and technologies include:
- Designing and building data pipelines and ingestion frameworks using Python‑based ETL processing
- Working with distributed data technologies such as Apache Spark, Kafka and NiFi
- Developing data services across batch, streaming and real‑time environments
- Designing and managing data models across relational and NoSQL databases
- Supporting cloud‑based data platforms using AWS services
- Ensuring data quality, integration and security across complex systems
- Collaborating with stakeholders to translate requirements into scalable data solutions
The Format
We’re selecting a small group of engineers to attend a single open day session in late May. On the day you’ll get:
- A walkthrough of the Manchester site and engineering environment
- Exposure to real‑world data challenges across secure systems
- Conversations with engineers working across data, AI and platform teams
- Insight into how data capability is delivered across projects
- A low‑pressure setting to explore fit without committing to a formal process
National Security Open Day - Data/ML in Manchester employer: Forwardrole
Contact Detail:
Forwardrole Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land National Security Open Day - Data/ML in Manchester
✨Tip Number 1
Get your networking game on! Connect with professionals in the data engineering field, especially those who might be attending the open day. Use platforms like LinkedIn to reach out and engage with them before the event.
✨Tip Number 2
Prepare some thoughtful questions about the technologies and projects they’re working on. This shows your genuine interest and helps you stand out during conversations at the open day.
✨Tip Number 3
Dress smart but comfortable for the open day. You want to make a good impression while also being able to focus on the discussions and activities without feeling restricted.
✨Tip Number 4
After the event, don’t forget to follow up with the people you met! A quick thank-you message can go a long way in keeping you on their radar for future opportunities.
We think you need these skills to ace National Security Open Day - Data/ML in Manchester
Some tips for your application 🫡
Show Your Passion for Data: When writing your application, let your enthusiasm for data engineering shine through. Share specific examples of projects or experiences that highlight your skills and interest in the field. We love seeing candidates who are genuinely excited about tackling complex data challenges!
Tailor Your Application: Make sure to customise your application to align with the role and the organisation's mission. Highlight relevant experience with technologies like Python, Apache Spark, and AWS. This shows us that you understand what we're looking for and how you can contribute to our team.
Be Clear and Concise: Keep your application straightforward and to the point. Use clear language and avoid jargon unless it's relevant to the role. We appreciate applications that are easy to read and get straight to the heart of your qualifications and experiences.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity. Plus, it makes the process smoother for everyone involved!
How to prepare for a job interview at Forwardrole
✨Know Your Tech Stack
Familiarise yourself with the technologies mentioned in the job description, like Python, Apache Spark, and AWS. Be ready to discuss your experience with these tools and how you've used them to solve data problems in the past.
✨Understand the Mission
Research the organisation's role in national security and how data engineering supports their mission. This will help you articulate how your skills can contribute to their goals and show that you're genuinely interested in the work they do.
✨Prepare for Real-World Scenarios
Think about specific examples from your past work where you've tackled complex data challenges. Be prepared to discuss how you designed data pipelines or ensured data quality, as this will demonstrate your practical experience and problem-solving abilities.
✨Engage and Ask Questions
Use the open day as an opportunity to engage with current engineers. Prepare thoughtful questions about their projects and the technologies they use. This not only shows your interest but also helps you assess if the environment is the right fit for you.