Senior Data Engineering (Manager Data Engineering)

Philip Morris International; Albarraque; Presencial; EUR 90 000 - 130 000; Tempo integral

Resumo da oferta

Philip Morris International is seeking a Senior Data Engineering (Manager Data Engineering) based in Albarraque, Portugal. You will lead ingestion, standardization, and harmonization of data for the Enterprise Data Platform, guiding architecture and engineering best practices across teams and vendors.

The role demands deep expertise in AWS, Snowflake, Matillion, and DBT, with a focus on scalable, secure data pipelines and ML-ready data assets.

Qualificações

• 8+ years delivering scalable cloud-based data solutions.
• Experience leading data engineering teams.
• Strong knowledge of AWS, Snowflake, Matillion, and DBT.

Responsabilidades

• Lead data onboarding to the Enterprise Data Platform across ingestion, standardization and harmonization.
• Act as technical advisor to Product Owner and domain leadership.
• Drive scalable, cloud-enabled data solutions with best practices.
• Coordinate internal and vendor engineering teams for delivery.
• Define patterns for canonical models, data governance and security controls.

Conhecimentos

Leadership

Cloud data engineering

Data governance

Stakeholder communication

Formação académica

Bachelor’s or Master’s in Computer Science or related field

Ferramentas

AWS

Snowflake

Matillion

DBT

Descrição da oferta de emprego

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.

Key Responsibilities

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 cloud engineering, and DevSecOps.

Cross‑Functional Collaboration

Work closely with data scientists, analysts, solution architects, business stakeholders, and IT teams to align priorities and ensure successful delivery of data products.

Physical Data Models & Feature Layers

Design and maintain optimised physical data models for Snowflake to support analytical and ML use cases.

Support the creation of reusable feature pipelines and semantic layers.

Performance & Cost Optimisation

Own the optimisation strategy for ETL/ELT pipelines, SQL performance, compute scaling, and cloud cost management.

Chapter Leadership & Community of Practice

Play an active role in the Data Engineering Chapter and Tech Lead Community of Practice.

Promote a culture of innovation, external learning, and pragmatic engineering approaches within the organisation.

Who We’re Looking For

8+ years delivering scalable cloud-based data engineering solutions. Prior experience as a Data Engineering Lead, or similar technical leadership role

Bachelor’s or Master’s in Computer Science, Engineering, Information Technology, or equivalent experience.

Deep hands‑on expertise in AWS cloud services (S3, Lambda, ECS/EKS, Glue, Step Functions, IAM).

Strong experience with Snowflake, including query optimisation, warehousing patterns, and governance.

Knowledge in Matillion, SQL, ELT/ETL design, and physical data modelling.

Understanding of ML workflows: feature engineering, data versioning, model serving patterns, lineage, reproducibility, data drift monitoring.

Advance skills of MLOps tools is an advantage (SageMaker, Databricks, MLflow, or similar).

Skilled in producing high‑quality technical documentation aligned to requirements, security, governance, and architecture frameworks.

Strong understanding of data quality management, metadata management, privacy, model governance, and security principles.

Ability to lead, mentor and inspire engineering teams.

Proven ability to influence partners and stakeholders, including senior decision makers. Excellent communication skills; able to translate complex technical concepts for diverse audiences.

Represents engineering in cross-functional forums, training, and communities.

WHY SHOULD YOU JOIN US?

What We Offer

Join PMI and you too can:

Seize the freedom to define your future and ours! We’ll empower you to take risks, experiment and explore

Be part of an inclusive, diverse culture, where everyone’s contribution is respected; collaborate with some of the world’s best people and feel like you belong

Pursue your ambitions and develop your skills with a global business – our staggering size and scale provides endless opportunities to progress

Take pride in delivering our promise to society: to improve the lives of a billion smokers!

Key Things To Know Before You Apply

• Relocation support/visa sponsorship is not provided. Please note that you must have the legal right to work in Portugal to be considered for this role.