Senior Data Engineer: Lead Data Platforms & AI

Philip Morris International; Albarraque; Presencial; EUR 60 000 - 100 000; Tempo integral

Resumo da oferta

Philip Morris International is seeking a Senior Data Engineer to lead the design, development, and evolution of enterprise data platforms enabling advanced analytics, AI, and data-driven decision making across the organization.

You will act as an expert in data engineering, shaping technical standards, driving innovation, and mentoring others while delivering scalable and reliable data solutions.

Qualificações

• Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, Engineering, Mathematics, Statistics, Business Analytics, or a related field
• Extensive experience in Data Engineering, Data Warehousing, Data Modeling, and Database Development
• Provide a continuous improvement mindset by proactively identifying opportunities to optimize data platforms, engineering processes, and delivery practices, driving efficiency, scalability, reliability, and long-term business value
• Strong expertise in SQL, ELT processes, data integration, and enterprise data warehouse solutions
• Hands-on experience with modern cloud data platforms, preferably Snowflake, and data orchestration tools such as Matillion
• Experience with CI/CD practices, version control, automated testing, and deployment frameworks
• Deep understanding of data governance, data quality, privacy, security, lineage, and access management principle
• Experience designing scalable logical and physical data models and optimizing database performance
• Knowledge of AI-ready data architectures, feature engineering, and data solutions supporting analytics, machine learning, and generative AI use cases
• Strong problem-solving skills with the ability to tackle complex business and technical challenges across multiple domains
• Ability to translate business requirements into scalable data solutions and deliver measurable business value
• Proven experience influencing stakeholders, driving technical standards, and collaborating effectively across cross-functional teams
• Excellent communication skills and the ability to present technical concepts to both technical and non-technical audiences
• Experience coaching, mentoring, and supporting the development of other team members
• Demonstrated ability to anticipate challenges, drive continuous improvement, and lead innovation within the data engineering domain

Responsabilidades

• Design, develop, implement, and maintain enterprise data warehouses integrating current and historical data from multiple business systems and data sources
• Build and optimize scalable ELT pipelines, ensuring efficient, secure, and reliable data processing
• Translate business and database requirements into logical and physical data models that support operational, analytical, and AI use cases
• Define and implement data validation, testing, quality controls, and monitoring frameworks to ensure accuracy, consistency, and reliability of data assets
• Design and maintain database structures, indexing strategies, and performance optimizations to maximize platform efficiency
• Establish procedures for monitoring, maintenance, backup, recovery, and operational support of data platforms
• Drive the adoption of best practices in data engineering, architecture, governance, security, and data quality
• Evaluate emerging technologies, tools, and methodologies, identifying opportunities to improve business outcomes and accelerate innovation
• Lead the development of new standards, frameworks, processes, and operational models that support strategic business objectives
• Anticipate business, technical, regulatory, and compliance challenges and proactively implement solutions
• Collaborate closely with business stakeholders, data scientists, analysts, architects, and technology teams to deliver high-quality data products
• Communicate technical concepts, project updates, and recommendations to senior stakeholders and leadership
• Provide coaching, mentoring, and technical guidance to engineers and project teams across the organization
• Drive continuous improvement by reducing technical debt, optimizing existing solutions, and improving platform performance and reliability
• Support enterprise AI and machine learning initiatives through feature engineering, feature management, model operationalization, and AI governance practices
• For those applying in Poland, in this position you will earn no less than 17 500 PLN gross monthly.
• Please note that only online application in English will be taken into consideration.

Conhecimentos

SQL

Data Warehousing

ELT/ETL

AI-ready data

Data governance

Data modeling

Cloud data platforms

Stakeholder comms

CI/CD practices

Cross-functional mentoring

Formação académica

Bachelor's or Master's in CS/IS/Engineering

Ferramentas

Snowflake

Matillion

Git

Descrição da oferta de emprego

Philip Morris International is seeking a Senior Data Engineer to lead the design, development, and evolution of enterprise data platforms enabling advanced analytics, AI, and data-driven decision making across the organization.

You will act as an expert in data engineering, shaping technical standards, driving innovation, and mentoring others while delivering scalable and reliable data solutions.