WestRock Company
Smurfit Westrock (NYSE:SW) is a global leader in sustainable paper and packaging solutions. We are materials scientists, packaging designers, mechanical engineers and manufacturing experts with a shared purpose: Innovate Boldly. Package Sustainably. Guided by our values of integrity, respect, accountability and excellence, we use leading science and technology to move fiber-based packaging forward.
Our technology organization is transforming how we work at Smurfit Westrock. We align with our businesses to deliver innovative solutions that:
Address specific business challenges, integrate processes, and create great experiences
Connect our work to shared goals that propel Smurfit Westrock forward in the Digital Age
Imagine how technology can advance the way we work by using disruptive technology
We are looking for forward-thinking technologists who can accelerate our focus areas, such as building stronger foundational technology capabilities, reducing complexity, employing digital transformation concepts, and leveraging disruptive technology.
Opportunity The Lead Data Engineer develops and supports business analytic reporting utilizing the latest BI tools in a cloud-based environment. This position works with Data Engineers, Analysts, and Business customers to develop and deliver reports that are critical for business operational and forecasting needs.
How you will impact Smurfit Westrock
Collaborate with Data Engineers and Business customers to automate and build analytic reporting that will reduce manual effort and assist in making business decisions.
Apply best practices to deliver high-quality intuitive reporting of manufacturing data to advance the state of the art in efficiency optimization and predictive analytics.
Develop reports utilizing connections to manufacturing system databases and data lake to curate Enterprise-wide financial and operational views for Business customers.
Provide WestRock leadership with highly valuable and transparent reporting that will drive decisions for the entire enterprise.
What you need to succeed
Education: Bachelor’s Degree in Computer Science or similar
At least 7-10 years of strong Data Analytics and Engineering experience
At least 3-5 years of Power BI development and support
Experience with Microsoft Fabric and Azure
Experience with Microsoft One Lake, Lakehouse, Data Factory
Experience with Power Query and DAX
Experience with scripting/coding (Python and/or SQL preferred)
Experience developing analytic reporting and data visualizations
Good analytical and troubleshooting abilitiesGood communication abilities to interact with clients, internal and external customers
Preferred Qualifications (in addition to BQs)
Power Platforms admin experience
Experience with ETL concepts and technologies
Experience with Cloud-based Big Data platforms and services.
Experience with databases (MS SQL Server, MySQL, Oracle, etc.) and data stores
Experience assembling large, complex sets of data that meet non-functional and functional business requirements
What we offer
Corporate culture based on integrity, respect, accountability, and excellence
Comprehensive training with numerous learning and development opportunities
An attractive salary reflecting skills, competencies, and potential
A career with a global packaging company where Sustainability, Safety, and Inclusion are business drivers and foundational elements of the daily work.
Candidates are required to undergo a drug screening after receiving a conditional job offer, but before starting employment.
Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by state or federal law.
#J-18808-Ljbffr
Our technology organization is transforming how we work at Smurfit Westrock. We align with our businesses to deliver innovative solutions that:
Address specific business challenges, integrate processes, and create great experiences
Connect our work to shared goals that propel Smurfit Westrock forward in the Digital Age
Imagine how technology can advance the way we work by using disruptive technology
We are looking for forward-thinking technologists who can accelerate our focus areas, such as building stronger foundational technology capabilities, reducing complexity, employing digital transformation concepts, and leveraging disruptive technology.
Opportunity The Lead Data Engineer develops and supports business analytic reporting utilizing the latest BI tools in a cloud-based environment. This position works with Data Engineers, Analysts, and Business customers to develop and deliver reports that are critical for business operational and forecasting needs.
How you will impact Smurfit Westrock
Collaborate with Data Engineers and Business customers to automate and build analytic reporting that will reduce manual effort and assist in making business decisions.
Apply best practices to deliver high-quality intuitive reporting of manufacturing data to advance the state of the art in efficiency optimization and predictive analytics.
Develop reports utilizing connections to manufacturing system databases and data lake to curate Enterprise-wide financial and operational views for Business customers.
Provide WestRock leadership with highly valuable and transparent reporting that will drive decisions for the entire enterprise.
What you need to succeed
Education: Bachelor’s Degree in Computer Science or similar
At least 7-10 years of strong Data Analytics and Engineering experience
At least 3-5 years of Power BI development and support
Experience with Microsoft Fabric and Azure
Experience with Microsoft One Lake, Lakehouse, Data Factory
Experience with Power Query and DAX
Experience with scripting/coding (Python and/or SQL preferred)
Experience developing analytic reporting and data visualizations
Good analytical and troubleshooting abilitiesGood communication abilities to interact with clients, internal and external customers
Preferred Qualifications (in addition to BQs)
Power Platforms admin experience
Experience with ETL concepts and technologies
Experience with Cloud-based Big Data platforms and services.
Experience with databases (MS SQL Server, MySQL, Oracle, etc.) and data stores
Experience assembling large, complex sets of data that meet non-functional and functional business requirements
What we offer
Corporate culture based on integrity, respect, accountability, and excellence
Comprehensive training with numerous learning and development opportunities
An attractive salary reflecting skills, competencies, and potential
A career with a global packaging company where Sustainability, Safety, and Inclusion are business drivers and foundational elements of the daily work.
Candidates are required to undergo a drug screening after receiving a conditional job offer, but before starting employment.
Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by state or federal law.
#J-18808-Ljbffr