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- Tasks: Design and build data pipelines for AI-driven solutions in a leading airline.
- Company: Join a top airline client with a focus on innovation and collaboration.
- Benefits: Attractive daily rate, hybrid work model, and potential for contract extension.
- Why this job: Make an impact by enabling advanced analytics and supporting AI integration.
- Qualifications: Expertise in Python, SQL, and cloud platforms; experience in data engineering roles.
- Other info: Opportunity for international travel and dynamic team collaboration.
The predicted salary is between 36000 - 60000 £ per year.
We have an exciting contract job opportunity for a Data Engineer / KPI Dashboard for one of our leading airline clients.
Role Purpose: The Data Engineer will design, build, and maintain robust data pipelines and architectures to enable AI-driven solutions for business, ensuring frameworks can scale across all OpCos. This role demands consultancy-level technical depth combined with strong delivery discipline.
Contract: 6 months with possibility to extend
Location: Waterside (UB7 0GB)
Work Model: Hybrid – 3 days per week onsite
Pay: attractive daily rate (Inside IR35)
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 business operational workflows.
- Design data architecture 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 client 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.
Data Engineer-KPI Dashboard in England employer: Hays
Contact Detail:
Hays Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer-KPI Dashboard in England
✨Tip Number 1
Network like a pro! Reach out to your connections in the airline industry or data engineering field. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best data pipelines and projects. This is your chance to demonstrate your expertise in Python, SQL, and cloud platforms like AWS.
✨Tip Number 3
Prepare for interviews by brushing up on your consultancy-level skills. Be ready to discuss how you can deliver immediate value and tackle tight timelines with ease.
✨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 are proactive about their job search.
We think you need these skills to ace Data Engineer-KPI Dashboard in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, SQL, and cloud platforms like AWS. We want to see how your skills align with the role of Data Engineer, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about this opportunity and how your background in data engineering can help us deliver AI-driven solutions for our airline client.
Showcase Your Collaboration Skills: Since this role involves working closely with Data Scientists and Analysts, make sure to mention any past experiences where you’ve successfully collaborated on data projects. We love team players who can hit the ground running!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. We can’t wait to hear from you!
How to prepare for a job interview at Hays
✨Know Your Tech Inside Out
Make sure you brush up on your Python, SQL, and ETL frameworks. Be ready to discuss specific projects where you've developed data pipelines or worked with cloud platforms like AWS. The more detailed examples you can provide, the better!
✨Showcase Your Collaboration Skills
Since this role involves working closely with Data Scientists and Analysts, be prepared to talk about how you've successfully collaborated in the past. Highlight any experiences where you’ve integrated feedback or worked in cross-functional teams.
✨Understand the Airline Industry
If you have experience in the airline or logistics data domains, make sure to mention it! Even if you don’t, do some research on the industry’s data challenges and trends. This will show your interest and help you connect your skills to their needs.
✨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 implement best practices. Practising these responses will help you feel more confident during the interview.
