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- Tasks: Transform data processes and design scalable models for impactful analytics.
- Company: Leading global tobacco company in Greater London with a focus on innovation.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Why this job: Join a dynamic team and make a difference in data-driven decision-making.
- Qualifications: 8+ years of experience in data engineering, SQL, Python, and ETL tools.
- Other info: Collaborative environment with a commitment to inclusivity and innovation.
The predicted salary is between 48000 - 72000 £ per year.
A leading global tobacco company in Greater London is seeking an experienced Data Engineer. You will transform data processes, design scalable data models, and enhance data integration.
The ideal candidate has over 8 years of experience, strong skills in data architecture, and proficiency in SQL alongside Python and ETL tools like Matillion.
This role requires collaboration with various stakeholders to meet data needs and optimize solutions. Join a firm committed to innovation and inclusivity.
Senior Analytics Data Engineer - Cloud DW & Data Pipelines employer: Philip Morris International
Contact Detail:
Philip Morris International Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Analytics Data Engineer - Cloud DW & Data Pipelines
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work in companies you're interested in. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best projects, especially those involving SQL, Python, and ETL tools like Matillion. 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 how you've transformed data processes and collaborated with stakeholders in the past. We want to see how you can bring value to our team!
✨Tip Number 4
Don't forget to apply through our website! It's the best way to ensure your application gets noticed. Plus, it shows you're genuinely interested in joining our innovative and inclusive team.
We think you need these skills to ace Senior Analytics Data Engineer - Cloud DW & Data Pipelines
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data architecture and your proficiency in SQL, Python, and ETL tools like Matillion. We want to see how your skills align with the role, 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 passionate about data engineering and how your experience can help us transform data processes. Keep it engaging and relevant to the job description.
Showcase Collaboration Skills: Since this role involves working with various stakeholders, make sure to mention any past experiences where you’ve successfully collaborated on projects. We love seeing how you can work with others to meet data needs!
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. Plus, it shows you’re keen on joining our innovative team!
How to prepare for a job interview at Philip Morris International
✨Know Your Data Inside Out
Make sure you brush up on your data architecture knowledge and be ready to discuss your experience with SQL, Python, and ETL tools like Matillion. Prepare examples of how you've transformed data processes in the past, as this will show your practical expertise.
✨Showcase Your Collaboration Skills
Since the role involves working with various stakeholders, think of specific instances where you've successfully collaborated with others. Be ready to explain how you’ve gathered requirements and optimised solutions based on feedback from different teams.
✨Prepare for Technical Questions
Expect some technical questions that test your understanding of data models and integration techniques. Practise explaining complex concepts in simple terms, as this will demonstrate your ability to communicate effectively with non-technical stakeholders.
✨Emphasise Innovation and Inclusivity
Research the company’s commitment to innovation and inclusivity. Be prepared to discuss how you can contribute to these values through your work. Sharing ideas on how to enhance data processes while fostering an inclusive environment can set you apart.
