Analytics Data Engineer – Philip Morris International

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About PMI: At PMI we’re transforming our business and building our future on smoke-free products. We’re offering opportunities to dream up and deliver better, brighter solutions and to move your career forward in endlessly different directions. If you want to make a life-changing impact on customers, there’s nowhere better to develop your career.

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 build out and improve the company\'s data ingestion, transformation, transactional and data warehousing needs to directly support the data science and analyst teams. The role is essential to building and scaling new and existing local data streams to support PMI’s growing data products and services. It will review and redesign products to address resource-heavy processes.

Partner with the Manager Data Capability and Head of Data and Analytics to work on varying, complex projects leveraging expertise in Power BI and cloud technologies such as AWS, Matillion and Snowflake. Work with market leadership to understand business strategy and design data products to serve the strategy. The role is autonomous and requires someone who can bring solutions to data-related problem statements.

Responsibilities

• Data Modeling & Warehousing: Design, develop, and maintain scalable data models; ensure data warehouse consistency and future-proofing.
• Data Pipelines: Develop reliable data pipelines with attention to data lineage and optimization; perform database tuning 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 governance principles, including metadata management and documentation; drive best practices to meet business needs.
• Collaboration: Work with data scientists, analysts, and stakeholders to understand data requirements and design tailored solutions; align projects with IT 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 and align data design with market strategy.
• Enterprise Data Analytics: Adhere to analytics guidelines and use appropriate tooling.

Skills, Experience And Competencies Required

• 8+ years SME experience in data engineering or a related field.
• Strong skills in data architecture and pipeline development; extensive experience in SQL and Python; Power BI 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 committed to ensuring all employees feel welcome and that they belong. We have inclusive networks and are proud to be the first global company to be awarded Equal Salary Certification. We provide wellbeing support through trained mental health first aiders, LifeWorks, and Employee Assistance Program. PMI is an equal opportunities employer, hiring on merit and business need; applications are welcome regardless of sex, gender identity, ethnicity, age, sexual orientation, gender reassignment, religion or belief, marital status, pregnancy, parenthood or disability. If you require reasonable adjustments in the recruitment process, please let us know.

Location: London, England, United Kingdom

Seniority level: Mid-Senior level

Employment type: Full-time