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For Companies At a Glance
- Tasks: Design and implement data solutions while tackling exciting challenges in a client-facing role.
- Company: Leading consultancy specialising in Data and Cyber Security for government and defence sectors.
- Benefits: Competitive salary of £65,000 plus a 15% bonus, with flexible working options.
- Why this job: Join a rapidly growing team and make a real impact on large-scale technical projects.
- Qualifications: Experience in Python, ETL, data modelling, and strong communication skills.
- Other info: Opportunity to work in London two days a week with excellent career progression.
The predicted salary is between 39000 - 78000 £ per year.
I am currently working with a brilliant consultancy with deep expertise in their field of Data and Cyber Security solutions, predominantly with Central Government organisations but they also have strong ties with Defence and Telco. They have experienced impressive growth over the last few years and as a result they are involved in some of the most challenging yet rewarding large scale technical projects in the country.
They are currently looking for a Data Engineer. This will be a blend of client facing skills, the ability to understand business problems, create novel models/solutions to help that client and communicate clearly with them the solution you have found, combined with strong Data Management, ETL, modelling.
Data Engineer employer: Paradigm Tech
Contact Detail:
Paradigm Tech Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow Data Engineers on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, ETL, and data modelling. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and client-facing skills. Practice explaining complex data solutions in simple terms, as communication is key in this role. We want you to shine!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with Python, ETL processes, and data modelling. We want to see how your skills align with the job description!
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 experiences make you a great fit for our team. Keep it concise but impactful!
Showcase Your Problem-Solving Skills: In your application, don’t forget to mention specific examples where you've tackled complex data challenges. We love seeing how you approach problems and come up with innovative solutions!
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!
How to prepare for a job interview at Paradigm Tech
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python, ETL processes, and data modelling techniques. Brush up on any relevant machine learning concepts too, as they might come up during the interview. Being able to discuss your technical skills confidently will show that you’re the right fit for the role.
✨Understand the Business Context
Since this role involves client-facing skills, it’s crucial to understand how data solutions can solve real business problems. Research the consultancy's past projects and think about how your skills can contribute to similar challenges. This will help you articulate your value during the interview.
✨Prepare for Scenario Questions
Expect questions that ask you to solve hypothetical problems or describe past experiences. Prepare examples where you’ve successfully implemented data solutions or improved processes. Use the STAR method (Situation, Task, Action, Result) to structure your answers clearly.
✨Showcase Your Communication Skills
Since the role requires clear communication with clients, practice explaining complex data concepts in simple terms. You might be asked to present a solution or model during the interview, so being able to convey your ideas effectively is key. Remember, it’s not just about what you know, but how you share that knowledge.
