Be a part of a revolutionary changeAt 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.
Our new vision means we’re reinventing our financial modelling, planning and forecasting tools. Join us in Finance and you’ll work across the full breadth of the business, making sure our new commercial model is profitable and sustainable.
There’s something new to learn every single day : changes to integrate and challenges to conquer. If you love working collaboratively and taking risks, you’ll be in your element here.
You are highly driven to constantly innovate and drive positive change, but more importantly, you consistently deliver mind-boggling results.
As a data engineer in PMI Integrated Business Services, you will have the opportunity to be a part of something different.
To go bold. We’re a team that isn’t afraid to take risks and question the status quo. 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 world class systems, delivering results, working on exciting and challenging projects.
Basic Qualifications : · 3+ years of experience as a Data Engineer or in a similar role · Proficient and proven experience working with : Python (advanced), SQL programming, Building ETL processes, Code versioning (GIT / SVN), Data ingestion from APIs · Ideal candidates will have a deep understanding of technical and functional designs for Databases, Data Warehousing, ETL, Reporting, and Data Mining areas · Problem solving skills · Quick learning of new technologies Preferred Qualifications : · 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 providing technical leadership and mentoring other Data Engineers for best practices on data engineering · Experience working directly with remote technical teams