Manager Data Platform & Solutions

Philip Morris International; Madrid; Presencial; EUR 90.000 - 120.000; Jornada completa

Descripción de la vacante

Philip Morris Spain is seeking a Senior Data Engineer to design, build, operate, and continuously improve secure, reliable, and scalable data pipelines and stores for the Spain market.

You will enable high-quality analytics, reporting, and data-driven decisions while aligning with PMI’s global data platform and governance standards.

Formación

• Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field.
• Minimum 6+ years of experience in Data Engineering or a closely related role.
• Hands-on experience delivering production-grade data pipelines in cloud environments.
• Experience working in Agile / product-oriented delivery models.
• Exposure to business domains such as Commercial, Finance, Supply Chain, Consumer, Product, or Life Sciences.
• Familiarity with enterprise systems such as Salesforce, Digital Consumer Engagement platforms, ERP, and Finance systems.

Responsabilidades

• Design, build, and operationalize data pipelines and data stores.
• Apply PMI and DI&A data engineering standards, patterns, and tools (e.g., Snowflake, Matillion, dbt, AWS services, BigQuery) to ensure consistency, reusability, and maintainability of data solutions.
• Perform data quality validation, monitoring, and remediation, embedding data quality checks in pipelines and proactively addressing data issues.
• Ensure compliant, secure, and appropriate data storage and processing, in line with PMI policies, data governance rules, and relevant legislation (e.g., GDPR).
• Embed security, scalability, efficiency, reliability, portability, and cost-awareness into all data engineering solutions.
• Collaborate with Business Analysts, Product Owners, Data Architects, and stakeholders to translate analytical and reporting requirements into robust data solutions.
• Work closely with Data Scientists and Advanced Analytics teams to ensure pipelines support model development, training, deployment, and monitoring.
• Monitor, optimize, and continuously improve data pipeline and platform performance, addressing reliability, cost, and scalability.

Conocimientos

Snowflake

dbt

AWS

SQL

Python

Data modeling

Data quality

Security & governance

NoSQL

Educación

Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field

Herramientas

dbt

AWS

Snowflake

BigQuery

Redshift

S3

Glue

Lambda

Descripción del empleo

Times are changing at PMI. We’ve chosen to do something big. The world expects us to act responsibly. And we are doing just that by transforming our business by building a smoke‑free future.

With huge change comes huge opportunity. Wherever you join us, you’ll enjoy the freedom to deliver better, brighter solutions and the space to move your career forward in endlessly different directions.

Purpose of the job

As a senior Data Engineer Design, build, operate, and continuously improve secure, reliable, and scalable data pipelines and data stores that enable high‑quality analytics, reporting, and data‑driven decision‑making for the Spain market, while aligning with PMI’s global data platform, governance standards, and compliance requirements.

The role ensures that data is trusted, available, performant, and fit‑for‑purpose, supporting business analysts, data scientists, BI Developers and digital products across Commercial, Finance, Supply Chain, Consumer, and Corporate domains.

Why This Role Matters

This role is critical to ensuring that Spain DI&A delivers trusted, actionable, and timely insights while remaining aligned with PMI’s global data platform strategy and governed ways of working.

The Data Engineer bridges global platforms and local business needs, turning data into a durable asset that enables PMI’s smoke‑free future.

Key responsibilities

Accountability 1

Design, build, and operationalize data pipelines and data stores

Outcome: Reliable, scalable, and reusable data assets supporting Spain market use cases.

Accountability 2

Apply PMI and DI&A data engineering standards, patterns, and tools (e.g., Snowflake, Matillion, dbt, AWS services, BigQuery) to ensure consistency, reusability, and maintainability of data solutions.

Outcome: Standardized, production‑grade data pipelines aligned with global architecture.

Accountability 3

Perform data quality validation, monitoring, and remediation, embedding data quality checks in pipelines and proactively addressing data issues.

Outcome: Trusted data with defined quality thresholds supporting business and analytical confidence.

Accountability 4

Ensure compliant, secure, and appropriate data storage and processing, in line with PMI policies, data governance rules, and relevant legislation (e.g., GDPR).

Outcome: Data solutions that are auditable, compliant, and secure by design.

Accountability 5

Embed security, scalability, efficiency, reliability, portability, and cost‑awareness into all data engineering solutions.

Outcome: Future‑proof data platforms that scale with business demand and usage.

Accountability 6

Collaborate with Business Analysts, Product Owners, Data Architects, and stakeholders to translate analytical and reporting requirements into robust data solutions.

Outcome: Well‑designed data models and datasets aligned with business priorities.

Accountability 7

Work closely with Data Scientists and Advanced Analytics teams to ensure pipelines support model development, training, deployment, and monitoring.

Outcome: Analytical workloads enabled by fit‑for‑purpose, performant data pipelines.

Accountability 8

Monitor, optimize, and continuously improve data pipeline and platform performance, addressing reliability, cost, and scalability.

Outcome: Stable, performant, and efficient data operations with minimal manual intervention.

Required skills and Competencies

Education

• Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field.

Work Experience

• Minimum 6+ years of experience in Data Engineering or a closely related role.
• Hands‑on experience delivering production‑grade data pipelines in cloud environments.
• Experience working in Agile / product‑oriented delivery models.
• Exposure to business domains such as Commercial, Finance, Supply Chain, Consumer, Product, or Life Sciences.
• Familiarity with enterprise systems such as Salesforce, Digital Consumer Engagement platforms, ERP, and Finance systems.

Technical & Functional Skills

Core Data Engineering Technologies

• Snowflake – data warehousing, performance optimization, cost‑aware design
• dbt – data transformation, testing, and modeling
• AWS – S3, Glue, Lambda, Redshift, EMR (or equivalent services)
• Strong SQL skills; Strong knowledge of Python (or similar)
• Experience with relational and NoSQL data stores
• Understanding of data modeling (dimensional, analytical, and consumption‑focused)
• Data quality checks, lineage, and observability
• Knowledge of data security, privacy, and governance principles

Ways of Working

• Strong problem‑solving and analytical skills
• Ability to explain complex data topics to non‑technical audiences
• End‑to‑end ownership of data pipelines and datasets
• Applies standards independently and contributes to solution design
• Proactively identifies quality, performance, and reliability issues
• Acts as a strong partner to analysts and data scientists
• Leads complex data engineering initiatives and designs

What we offer

Our success depends on the men and women who come to work every single day with a sense of purpose and an appetite for progress. 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 deliver a smoke‑free future.

Equal opportunities and diversity in all facets, such as the employment of severely disabled people and inclusion, are part of our everyday life. Severely disabled applicants are very welcome at Philip Morris Spain.

Please note that only on-line applications will be taken into consideration.