Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Transform data into robust solutions for key stakeholders and support data science teams.
- Company: Join PMI, a leader in smoke-free product innovation and transformation.
- Benefits: Inclusive culture, mental health support, and opportunities for professional growth.
- Why this job: Be part of a revolutionary change and make an impact with data.
- Qualifications: 8+ years in data architecture, strong SQL and Python skills, Power BI knowledge is a plus.
- Other info: Dynamic environment with a commitment to diversity and employee wellbeing.
The predicted salary is between 36000 - 60000 £ per year.
About Us
At PMI we’ve chosen to do something incredible. We’re totally transforming our business and building our future on smoke-free products. Be a part of a revolutionary change.
Main Purpose of Role
The role is crucial in transforming data by bridging data warehousing and business analysis into robust data solutions for analytical consumption for key stakeholders. The role will be responsible for working to build out and improve the company's data ingestion, transformation, transactional and data warehousing needs directly supporting the data science and analyst teams. This role is essential to building and scaling new and existing local data streams to support PML’s growing data products and services. In addition to this, the role will review and redesign product to address resource heavy processes. Partnering with the Manager Data Capability and Head of Data and Analytics, the role will be working on varying, complex projects that leverage expertise in Power BI, to help the organisation harness the power of cloud technologies available to PMI such as Amazon Web Services (AWS), Matillion and Snowflake. The role will also work with market LT in order to understand the business strategy and therefore design data products to serve the strategy. The role is autonomous and therefore requires someone who can bring solutions to problem statements around data.
Responsibilities
- Data Modeling & Warehousing: Design, develop, and maintain scalable data models and ensure the data warehouse is consistent and future-proof.
- Data Pipelines: Develop reliable data pipelines to ensure seamless data flow, considering data lineage and optimization. Perform database tuning and optimization for improved query performance.
- Data Integration: Use ETL tools, SQL, and Python to integrate external datasets into the data warehouse.
- Data Quality & Security: Implement data quality checks and ensure compliance with data protection regulations.
- Performance Optimization: Enhance data storage and retrieval processes for better performance and scalability.
- Data Governance: Apply data governance principles, including metadata management and documentation. Drive best practices and ensure the data platform meets business needs.
- Collaboration: Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and design tailored data solutions. Collaborate with IT to align projects with infrastructure and policies.
- Documentation: Maintain comprehensive documentation of data models and processes.
- Business Translation: Convert business logic into data products and actionable insights.
- Stakeholder Engagement: Engage with global stakeholders to understand the impact of global changes on local data. Partner with market LT to align data design to market strategy.
- Enterprise Data Analytics: Engage and adhere to enterprise data analytics guidelines and utilize appropriate tooling.
Skills, Experience And Competencies Required
- 8 years+ SME experience
- Strong skills in data architecture and pipeline development, with extensive experience in SQL and Python; PowerBI knowledge is a plus.
- Experience with ETL/ELT tools (e.g., Matillion, DBT).
- Strong understanding of data warehouse engineering and architecture principles.
Additional Role Requirements
Stay updated with industry trends to improve data engineering practices.
Our commitment to inclusion
PMI is on a continuous journey to ensure that all of our employees feel welcome and feel that they belong. We have a number of internal networks that are inclusive and open for anyone to join, including networks covering employees from ethnic minority backgrounds, LGBTQ+ and gender. We’re also extremely proud to be the first global company to be awarded Equal Salary Certification. We take wellbeing seriously, so we have trained mental health First Aiders to help support our employees, as well as support in the form of our LifeWorks app and Employee Assistance Program. PMI is an equal opportunities employer, hiring solely on merit and business need. We encourage applications regardless of sex, gender identity, ethnicity, age, sexual orientation, gender reassignment, religion or belief, marital status, pregnancy, parenthood and disability. If you require reasonable adjustments in any recruitment process with us, please make us aware.
Analytics Data Engineer employer: Philip Morris International
Contact Detail:
Philip Morris International Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Data Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already at PMI or similar companies. 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 data projects, especially those involving SQL, Python, and Power BI. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by diving deep into PMI's mission and values. Understand their smoke-free transformation and think about how your skills can contribute to that vision. Tailoring your answers to align with their goals can really impress!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in being part of the PMI team and their exciting journey.
We think you need these skills to ace Analytics Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Analytics Data Engineer. Highlight your experience with data architecture, SQL, and Python, and don’t forget to mention any relevant projects that showcase your skills in data warehousing and ETL tools.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about transforming data and how your background aligns with our mission at PMI. Be sure to mention your familiarity with cloud technologies like AWS and your experience with Power BI.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled complex data challenges in the past. We love candidates who can bring solutions to the table, so don’t hold back on sharing your success stories!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Philip Morris International
✨Know Your Data Inside Out
Before the interview, dive deep into your understanding of data architecture and pipeline development. Be ready to discuss your experience with SQL, Python, and any ETL tools you've used, like Matillion or DBT. This will show that you’re not just familiar with the concepts but can also apply them effectively.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex data challenges in the past. Think about specific projects where you designed data solutions or optimised data processes. This will demonstrate your ability to bring solutions to problem statements, which is crucial for the role.
✨Understand PMI's Vision
Familiarise yourself with PMI’s commitment to smoke-free products and their data strategy. Being able to articulate how your skills can support their transformation will set you apart. Show that you’re not just looking for a job, but that you want to be part of their revolutionary change.
✨Engage with Stakeholders
Think about how you would engage with global stakeholders to understand their data needs. Prepare to discuss how you would translate business logic into actionable insights. This shows that you can collaborate effectively and align data solutions with business strategies.
