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- Tasks: Design and maintain data pipelines for AI-driven solutions in a hybrid work environment.
- Company: Leading consultancy firm focused on innovative data engineering solutions.
- Benefits: Competitive daily rates, flexible working, and opportunities for international travel.
- Why this job: Join a dynamic team and make an impact with cutting-edge data technologies.
- Qualifications: Proficient in Python, SQL, and cloud platforms; experience in data engineering roles.
- Other info: Collaborative culture with strong focus on career growth and high-impact outcomes.
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. Salary: GBP Per day
Embedded Business Analyst in London 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 in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by practising common questions and showcasing your technical skills. We recommend doing mock interviews with friends or using online platforms to get comfortable with the process.
✨Tip Number 3
Showcase your projects! Whether it's through a portfolio or GitHub, having tangible examples of your work can really set you apart. Make sure to highlight any data pipelines or AI solutions you've developed.
✨Tip Number 4
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 Embedded Business Analyst in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Data Engineer role. Highlight your expertise in Python, SQL, and cloud platforms like AWS, as these are key for us.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for this role. Share specific examples of how you've developed data pipelines or worked with data solutions in the past.
Showcase Your Collaboration Skills: Since this role involves working closely with Data Scientists and Analysts, mention any past experiences where you successfully collaborated with cross-functional teams to deliver results.
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 don’t miss out on any important updates!
How to prepare for a job interview at N Consulting Ltd
✨Know Your Data Inside Out
Make sure you brush up on your knowledge of data pipelines, ETL frameworks, and cloud platforms like AWS. Be ready to discuss specific projects where you've developed or optimised data solutions, as this will show your hands-on experience and technical depth.
✨Showcase Your Collaboration Skills
Since the role involves working closely with Data Scientists and Analysts, prepare examples that highlight your ability to collaborate effectively. Think about times when you’ve worked in cross-functional teams and how you contributed to achieving common goals.
✨Demonstrate Problem-Solving Abilities
Be prepared to tackle hypothetical scenarios during the interview. They might ask you how you would approach a specific data challenge or improve an existing pipeline. Use the STAR method (Situation, Task, Action, Result) to structure your answers clearly.
✨Understand the Business Context
Familiarise yourself with the airline or logistics data domains, as this knowledge can set you apart. Research the company’s operations and think about how your role as a Data Engineer can drive value within their business model. This shows you’re not just technically savvy but also business-minded.
