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. 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, and consistently deliver great results. As a Data Engineer, you will have the opportunity to be 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.

Qualifications

• Graduated in (Business) Informatics, IT, computer science or a related field.
• 3+ years of experience working with SQL Server such as Snowflake or My
  SQL.
• Proficient in SQL and an additional programming language such as Python.
• 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, and Reporting.
• Strong understanding of data modeling concepts and techniques, including dimensional modeling and schema design, to ensure efficient data storage and retrieval.

Preferred Qualifications

• Experience with Big
  Query (slots, reservations autoscaling, workload isolation).
• Familiarity with identity resolution/householding and attribution integrations (e. g. , Northbeam).
• 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.
• Experience working directly with remote technical teams.

Benefits

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

Responsibilities

• Data ingestion: automate ingestion of third‑party data files (e. g. , Shopify, Klaviyo, ACS) into a centralized database.
• Data modelling: design, build and maintain scalable data pipelines and infrastructure.
• Real‑time & CDC: implement streaming pipelines using Dataflow and set up CDC processes.
• Platform setup & scalability: establish the data warehouse and analytics environment to support future reporting and insights, with data quality, lineage and privacy in mind.
• Collaboration: work closely with business stakeholders to understand data needs and translate them into technical solutions.

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

Industry

Manufacturing