Senior Data Engineering (Manager Data Engineering)

Be a part of a revolutionary change - find your future in our future

At PMI, we’ve chosen to do something incredible. We’re transforming our business and building our future with one clear purpose – to deliver a smoke-free future. We're disrupting our company from the inside out. Our transformation is redefining every area of our business. From where and how we make and sell our products—to how we engage our consumers and society.

Be a part of a revolutionary change

At PMI, we’ve chosen to do something incredible. We’re totally transforming our business and building our future on one clear purpose – to deliver a smoke-free future.

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

We are looking for a Senior Data Engineering (Manager Data Engineering). The role is be based in Albarraque (Portugal)

In this role, you will act as a technical advisor to the Product Owner, leading data onboarding to the Enterprise Data Platform across ingestion, standardization, and harmonization. You will design and drive scalable, cloud-enabled data solutions using technologies such as AWS, Snowflake, Matillion, and dbt, while ensuring the adoption of best-in-class architecture, high-quality development standards, and engineering best practices. You will be accountable for leading and coordinating specialized technical teams, both internal and vendor, to deliver robust, enterprise-grade data engineering solutions aligned with organizational objectives.

Technical Leadership

Serve as a technical expert and advisor to the Product Owner and domain leadership on data engineering architecture.

Provide strategic guidance on data product design and optimal engineering practices for model development and consumption.

Partner with solution architects, and data scientists to align on platform design and patterns.

Solution Architecture Across the Delivery Lifecycle

Apply technical proficiency across requirements definition, data architecture, solution design, development, testing, deployment, and transition to support.

Ensure all solutions align with enterprise architecture standards, data governance, and security controls.

Data Ingestion & Processing

Lead ingestion and transformation workstreams, ensuring pipelines can support analytics.

Champion reusable, parameterised, and automated ETL/ELT capabilities using Matillion, DBT,  Snowflake, and AWS.

Data Standardisation & Harmonisation

Design and enforce patterns for standardised canonical models, harmonised attributes, and ML‑suitable data structures.

Ensure datasets are optimised for downstream model consumption and quality monitoring.

Platform Expertise

Leverage AWS, Snowflake and Matillion & DBT to build scalable, secure data pipelines and ML‑ready data assets.

Collaborate with data engineering to enable reproducibility, model lineage, feature engineering, and deployment patterns.

Standards, Best Practices & Governance

Define, document, and enforce engineering and ML‑data standards (coding, naming, testing, cost optimisation, observability).

Ensure alignment to data privacy, compliance, and model governance frameworks.

Team Leadership & Capability Growth

Lead and mentor internal and vendor engineering teams, fostering modern engineering practices.

Build skill pathways within the team for