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- Tasks: Design and maintain data pipelines for AI-driven solutions in a hybrid role.
- Company: Leading consultancy in the tech sector with a focus on innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for international travel.
- Why this job: Join a dynamic team and make an impact with cutting-edge data solutions.
- Qualifications: Proficiency in Python, SQL, and cloud platforms; experience in data engineering.
- Other info: Collaborative environment with strong career growth potential.
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 employer: Natobotics
Contact Detail:
Natobotics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Embedded Business Analyst
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working in data engineering or analytics. Use platforms like LinkedIn to connect and engage with them; you never know who might have a lead on your dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, SQL, and cloud platforms. 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 soft skills. Be ready to discuss your experience with data pipelines and how you've tackled challenges in previous roles. Practice makes perfect, so consider mock interviews with friends or mentors.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves. Let’s get you that job!
We think you need these skills to ace Embedded Business Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your expertise in Python, SQL, and cloud platforms like AWS, as these are key for the Data Engineer role.
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 solutions in the past and how you can bring immediate value to our team.
Showcase Your Collaboration Skills: Since this role involves working closely with Data Scientists and Analysts, emphasise your experience in collaborative environments. Let us know how you've successfully integrated into teams and delivered 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’re considered for the role without any hiccups!
How to prepare for a job interview at Natobotics
✨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 hands-on experience 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 data solutions can drive value for the business. It’s all about showing that you understand their needs!
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills under tight timelines. Think of scenarios where you had to design scalable data solutions or implement best practices. Practising these responses will help you convey your consulting-level competencies effectively.
