SPMO Data Engineer

Are you interested in being part of an innovative team that supports Westinghouse's mission to provide clean energy solutions? At Westinghouse, we recognize that our employees are our most valuable asset and we seek to identify, attract and recruit the most qualified talent while recognizing and encouraging the value of diversity in the global workplace.

The SPMO Data Engineer is an experienced professional (5–10 years) responsible for designing and maintaining data pipelines, modeling PMO datasets, and enabling analytics that support portfolio, project, financial, and resource visibility. The role combines solid data engineering, analytical skills, and foundational data science techniques to support predictive insights, operational reporting, and improved decision-making within the Strategic PMO.

Key Responsibilities

• Design, build, and maintain ETL/ELT pipelines connecting PMO systems such as DevOps/Jira, ERP, HRIS, Datalake , financial and scheduling tools.
• Develop and optimize data models supporting portfolio reporting, including schedules, milestones, risks, financials, and capacity.
• Support process automations.
• Implement data quality checks, validation rules, and data governance across PMO datasets. Support analytics and light data science needs including forecasting, anomaly detection, and trend analysis.
• Create and maintain Power BI dashboards, ensuring metric consistency, governance, and automated reporting.
• Collaborate with PMO leaders, project managers, and finance partners to translate business needs into data products.
• Work with structured and unstructured data across databases and data lakes.
• Document data models, metrics, pipelines, and business rules.

Qualifications

• Bachelor's degree in Data Engineering, Computer Science, Data Science, Statistics, or related field.
• 5+ years of relevant experience in data engineering or analytics engineering, plus experience with PMO or project portfolio data.
• At least 4+ years' experience in project management with Microsoft Project
• Strong SQL and Python programming skills.
• Experience with cloud platforms (Azure, Databricks), or modern data platform (e.g., Hadoop, Spark, or Hive)
• Power BI expertise (datasets, DAX, modeling) and Power Automate experienced.
• Understanding of PMO/project management concepts (CPI/SPI, milestones, risks)
• Basic knowledge of forecasting and ML techniques (scikit-learn)
• Excellent communication and interpersonal skills, with the ability to work with diverse teams.

We are committed to transparency and equity in all of our people practices. The base salary range for this position, which is dependent upon experience, qualifications and skills, is estimated to be 13916 PLN to 17350 PLN per month. In addition to base pay, this role may be eligible for incentive pay based on company and individual performance.

(, ,)

Why Westinghouse?
Westinghouse Electric Company Is The Global Nuclear Energy Industry's First Choice For Safe, Clean, And Efficient Energy Solutions. We Enable Our Delivery Of This Vision By Living Our Value System

• Safety and Quality
• Integrity and Trust
• Customer Focus and Innovation
• Speed and Passion to Win
• Teamwork and Accountability

Westinghouse offers great benefits to all our employees around the globe to keep them healthy and enhance their well-being.
Benefits Offered In Poland Include

• Stable employment
• Outstanding and supportive atmosphere of collaboration in the team and in Westinghouse group
• Attractive remuneration with bonuses
• Hybrid model of work, flexible working time
• MyBenefit Cafeteria
• Private Medical Care
• Private Group Insurance
• Employee Assistance Program: confidential counseling and resources for employees, eligible dependents, and household members
• Charity initiatives
• Parking space for employees
• Employee referral program

You can learn more about Westinghouse by visiting
.

Westinghouse is an Equal Opportunity Employer including Veterans and Individuals with Disabilities.

Get connected with Westinghouse on social media:
Twitter
|
Facebook
|
LinkedIn
|
YouTube