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.

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 Business Solutions, 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 have the opportunity to really make a difference to our business by inventing, enhancing and building new systems, delivering results, and working on exciting and challenging projects.

WHO ARE WE LOOKING FOR?

• You have graduated in (Business) Informatics, IT, computer science or a related field.
• 3+ years of experience working with modern data engineering tech stack such as Snowflake, AWS, CI/CD pipelines, Jenkins or GIT.
• Proficient in SQL and an additional programming language such as Power
  Shell or Python.
• 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.
• Ideal candidates will have a strong foundation of AI/ML concepts and framework.
• AI‑Ready: Strong understanding of LLMs with proven experience applying them to enhance workflows and outcomes.
• Innovative Application: Skilled in leveraging LLMs for data‑driven solutions, automation, or advanced analytics.

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.
• Proven success in enabling Machine Learning workflows through standardized data ingestion, transformation, and metadata management. Ability to develop, train, and deploy machine learning models to solve business problems.
• 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 services.
• Can clearly communicate 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.

WHAT WE OFFER YOU?

• Private medical and dental care, life insurance.
• Hybrid work opportunity and flexible working arrangements.
• Employee pension plan.
• Multisport program.
• Holiday, cultural & Christmas bonus.
• Wide range of training, optional language classes, further education and professional qualification support possibilities.
• Free bike and car parking for all employees.

HOW CAN YOU MAKE HISTORY WITH US?

• Implement standardized, automated operational processes to deliver accurate and timely data for reporting to meet or exceed SLAs.
• 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.
• Problem‑solving: leverage 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.

Please note that only online applications will be taken into consideration. Only selected candidates will be contacted.

Seniority level

Mid‑Senior level

Employment type

Full‑time

Job function

Information Technology

Industries

Manufacturing