Analytics Data Engineer

Be a part of a revolutionary change'

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.

With huge change comes huge opportunity. So, wherever you join us, you'll enjoy the freedom to dream up and deliver better, brighter solutions and the space 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.

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 leverages 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.

• 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.
• 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.
• 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.

• 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.

• Stay updated with industry trends to improve data engineering practices.

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.