Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and maintain data pipelines for AI-driven solutions in a dynamic environment.
- Company: N Consulting Ltd, a leader in innovative data engineering solutions.
- Benefits: Competitive salary, hybrid work model, and opportunities for international travel.
- Why this job: Join a cutting-edge team and make a real impact on data-driven projects.
- Qualifications: Expertise in Python, SQL, and cloud platforms; strong problem-solving skills.
- Other info: Collaborative culture with excellent career growth and global deployment opportunities.
The predicted salary is between 48000 - 72000 £ per year.
The Data Engineer will design, build, and maintain robust data pipelines and architectures to enable AI-driven solutions for BA, ensuring frameworks can scale across all OpCos. This role demands consultancy-level technical depth combined with strong delivery discipline.
Key Responsibilities
- Develop and optimize data pipelines for ingestion, transformation, and storage.
- Ensure data quality, integrity, and security across systems.
- Collaborate with Data Scientists and Analysts to enable advanced analytics.
- Implement best practices for scalability and performance in cloud environments.
- Support integration of MRO AI Solutions into BA operational workflows.
- Design data architectures and pipelines that support multi-OpCo deployment, ensuring modularity and interoperability.
Required Skills & Experience
- Expertise in Python, SQL, and modern ETL frameworks.
- Hands-on experience with cloud platforms (AWS preferred).
- Strong knowledge of data modeling and API integration.
- Proven experience in developing, testing, and deploying data solutions into production environments, ensuring reliability, scalability, and maintainability beyond proof-of-concept or prototype stages.
- Familiarity with airline or logistics data domains is a plus.
- Significant experience in similar roles, with a proven ability to integrate quickly into new teams and deliver immediate value.
- Initial co-location with BA teams in London is essential to ensure close collaboration.
- Candidates must also be prepared to travel internationally during later stages to facilitate group-wide deployment.
Preferred Consulting-Level Competencies
- Ability to design enterprise-grade data solutions under tight timelines.
- Strong stakeholder engagement and solution-oriented mindset.
- Experience in advisory or consulting roles for data engineering projects.
- Track record of creating high-impact outcomes and driving stakeholder satisfaction from day one.
- Ability to implement standards and frameworks for scalable data solutions across multiple operating companies.
Compensation
Premium-level role; competitive rates aligned with UK consultancy benchmarks.
Embedded Business Analyst at N Consulting Ltd employer: N Consulting Ltd
Contact Detail:
N Consulting Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Embedded Business Analyst at N Consulting Ltd
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at N Consulting Ltd. Use LinkedIn to connect and engage with them. A friendly chat can sometimes lead to opportunities that aren’t even advertised!
✨Tip Number 2
Prepare for interviews by brushing up on your technical skills. Since this role requires expertise in Python and SQL, make sure you can showcase your knowledge. Practice common data engineering scenarios and be ready to discuss your past projects.
✨Tip Number 3
Showcase your problem-solving skills! During interviews, be prepared to tackle hypothetical scenarios related to data pipelines and cloud environments. This will demonstrate your consultancy-level thinking and ability to deliver under pressure.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to engage directly with us.
We think you need these skills to ace Embedded Business Analyst at N Consulting Ltd
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with Python, SQL, and cloud platforms like AWS. We want to see how your skills align with the key responsibilities listed in the job description.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for this role. Mention your hands-on experience with data pipelines and how you can contribute to AI-driven solutions at N Consulting Ltd.
Showcase Relevant Projects: If you've worked on projects that involved data engineering or analytics, make sure to showcase them. We love seeing real-world examples of your work, especially if they demonstrate your ability to deliver high-impact outcomes.
Apply Through Our Website: Don't forget to apply 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 N Consulting Ltd
✨Know Your Tech Inside Out
Make sure you brush up on your Python, SQL, and ETL frameworks before the interview. Be ready to discuss specific projects where you've developed data pipelines or worked with cloud platforms like AWS. This will show that you have the technical depth they’re looking for.
✨Showcase Your Collaboration Skills
Since this role involves working closely with Data Scientists and Analysts, be prepared to share examples of how you've successfully collaborated in the past. Highlight any experiences where you’ve integrated solutions into operational workflows, as this will demonstrate your ability to work within a team.
✨Understand the Business Context
Familiarise yourself with the airline or logistics data domains if you can. Knowing the industry context will help you speak more intelligently about how your skills can directly benefit their operations, making you a more attractive candidate.
✨Prepare for Scenario Questions
Expect questions that assess your problem-solving abilities under tight timelines. Think of scenarios where you had to design scalable data solutions or manage stakeholder expectations. Practising these responses will help you convey your consulting-level competencies effectively.
