Position Title:  Senior Data Engineer

MAKE HISTORY WITH 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 the power to improve the lives of a billion smokers worldwide. 

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. 

Role overview:

You are highly driven to constantly innovate and drive positive change, but more importantly, you consistently deliver great results. As a data engineer in PMI GBS analytics team, you will have the opportunity to be a part of something different. This position offers exceptional opportunities for every candidate to grow their technical and non-technical skills. If you are selected, you can really make a difference to our business by inventing, enhancing and building new system, delivering results, working on exciting and challenging projects.

 JOIN US! 

WHO ARE WE LOOKING FOR? 

• Graduated in (Business) Informatics, Computer Engineering, Data Science, IT or a related field.
• 5 + years of experience working with SQL Server ( Snowflake, S3 buckets, CI/CD pipelines, Jenkins or GIT)
• Proficient in SQL and an additional programming language such as PowerShell or Python is a plus
• Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP).
• Deep understanding of technical and functional designs for Databases, Data Warehousing, ETL, Reporting, and Data Mining areas.
• Strong understanding of data modeling concepts and techniques, including dimensional modeling and schema design, to ensure efficient data storage and retrieval.
• Domain knowledge – Finance, Commercial, Consumer etc.

Preferred Qualification:

• Knowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations.
• Implement standardized, automated operational processes to deliver accurate and timely data for reporting to meet or exceed SLAs.
• Understanding of development and management of data infrastructure and service.
• Proven success in communicating with users, other technical teams, and senior management to collect requirements, describe data modeling decisions and data engineering strategy.
• Technical documentation knowledge
• Experience with dbt or analytics engineering
• Experience working directly with remote technical teams

HOW CAN YOU MAKE HISTORY WITH US? 

• Creating, Testing and Deploying Pipelines: Design, develop, and maintain data pipelines for efficient data ingestion, processing, and delivery.
• Ensure Data Completeness and Quality: Implement mechanisms to ensure data completeness, accuracy, and consistency across all data sources and processes.
• Optimizing and Maintaining Warehouse: Continuously improve the performance and scalability of the data warehouse, implementing optimization techniques and best practices.
• Continuous Improvement: Identify opportunities for process optimization and automation, striving for continuous improvement in data management practices.
• Collaborating with Data Architects and stakeholders on data models, architecture, and platform decisions
• Data Analysis: Analyze and interpret data to provide actionable insights and recommendations to stakeholders, supporting data-driven decision-making processes.
• Effective communication skills that include documentation of design, build and test procedure, and maintenance.
• Problem-Solving: Leveraging innovative approaches to optimize processes and enhance data quality.
• Proactive Role: Actively anticipate and resolve potential data issues before they escalate, demonstrating a proactive approach to data.

WHAT DO WE OFFER YOU?

Permanent local contract with a competitive salary, together with Tabaqueira’ s employee benefits, including:

• Life and Health insurance

• Employee Pension Plan

• Hybrid working model

• Growing opportunities within the Company, both at the national and international levels

• Very diverse and international work environment

• Wide range of training and further education and professional qualification support possibilities.

Key things to know before you apply:

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