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- Tasks: Design and maintain data pipelines for AI-driven solutions across multiple companies.
- Company: Dynamic tech firm focused on innovative data solutions.
- Benefits: Flexible day rate, hybrid work model, and opportunities for international travel.
- Why this job: Join a cutting-edge team and make a real impact in the data engineering field.
- Qualifications: Expertise in Python, SQL, and cloud platforms; experience in data engineering roles.
- Other info: Collaborative environment with strong focus on scalability and performance.
The predicted salary is between 36000 - 60000 £ per year.
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 a strong delivery discipline.
Contract: 6 months
Location: around Heathrow
Hybrid: 2 to 3 days onsite
Rate: Flexible day 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 modelling 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’s 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 Longford employer: hays-gcj-v4-pd-online
Contact Detail:
hays-gcj-v4-pd-online Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer – KPI Dashboard in Longford
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with cloud platforms like AWS. 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 data pipelines and projects. Use GitHub or a personal website to highlight your expertise in Python, SQL, and ETL frameworks. This gives potential employers a taste of what you can do!
✨Tip Number 3
Prepare for interviews by brushing up on your consultancy-level skills. Be ready to discuss how you've tackled tight timelines and stakeholder engagement in past roles. We want to see that you can deliver high-impact outcomes from day one!
✨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 and eager to join our team in building scalable data solutions.
We think you need these skills to ace Data Engineer – KPI Dashboard in Longford
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 our needs, so don’t hold back!
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. Share specific examples of your past work that demonstrate your ability to design and maintain data pipelines.
Showcase Your Problem-Solving Skills: In your application, highlight instances where you've tackled complex data challenges. We love seeing how you’ve implemented scalable solutions and improved data quality in previous roles.
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. We can’t wait to see what you bring to the table!
How to prepare for a job interview at hays-gcj-v4-pd-online
✨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. Share instances where your teamwork led to improved data solutions or analytics outcomes.
✨Understand the Business Context
Familiarise yourself with the airline or logistics data domains if you can. Being able to speak knowledgeably about how your work as a Data Engineer can impact business operations will set you apart from other candidates.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills under tight timelines. Think of examples where you've had to design scalable data solutions quickly and how you engaged stakeholders to ensure satisfaction from day one.
