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 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.
JOIN US!
WHO ARE WE LOOKING FOR?
2+ years of experience as a Data Engineer or in a similar role
Proficient and proven experience working with: Python, SQL programming, Building ETL processes, Code versioning (GIT/SVN), Data ingestion from APIs
Ideal candidates will have an understanding of technical and functional designs for Databases, Data Warehousing, ETL and Reporting
Problem solving skills
Quick learning of new technologies
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
Proven success in communicating with users, other technical teams, and senior management to collect requirements, describe data modeling decisions and data engineering strategy
Experience working directly with remote technical teams
Power BI would be an asset
WHAT WE OFFER YOU?
Wide range of trainings, optional language classes, further education, and professional qualification support possibility
Private medical and dental care, life insurance
Subsidized meals (Sodexo card)
Mybenefit Cafeteria
Hybrid work opportunity and flexible working arrangements
Employee pension plan
Free bike and car parking for all employees
HOW WILL YOU MAKE HISTORY WITH US?
Creating, Testing and Deploying Pipelines: Design, develop, and maintain data pipelines for efficient data ingestion, processing, and delivery
Ensuring Data Completeness and Quality: Implementing mechanisms to ensure data completeness, accuracy, and consistency across all data sources and processes
Optimizing and Maintaining Warehouse: Continuously improving the performance and scalability of the data warehouse, implementing optimization techniques and best practices
Continuous Improvement: Identifying opportunities for process optimization and automation, striving for continuous improvement in data management practices
Working with Vendors: Collaborating with external vendors to integrate new data sources into the data ecosystem, ensuring seamless data flow and integration
Problem-Solving: Leveraging innovative approaches to optimize processes and enhance data quality
Proactive Role: Actively anticipating and resolving potential data issues before they escalate, demonstrating a proactive approach to data
Please note that only on-line applications will be taken into consideration.
Only selected candidates will be contacted.
#LI-Hybrid