Project Manager overseeing payroll system implementation with global outsourcing partner. Leading cross - functional teams and stakeholder engagement for project success.
About the role
- Data Engineer at Westinghouse designing and maintaining data pipelines. Enabling analytics for project management and resource visibility.
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.
Requirements
- 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.
Benefits
- 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
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Data Engineer 3 optimizing Market Place processes for Walmart Global Tech's Chennai team. Developing data pipelines and ensuring efficient utilization of Market Place systems.
Data Engineer at Michelin designing and supporting data analytics systems. Involved in data transformation and pipeline quality assurance.
Data Engineer at CBTW handling data pipelines and ETL processes using SAS. Collaborating with business stakeholders and ensuring data governance within SAS environments.
Data Engineer I at Catalyst Brands developing and optimizing data pipelines for cross - functional teams. Designing next generation data platform architecture to meet increasing data demands in a retail environment.
Data Engineer at Grupo Iter responsible for data pipelines and architecture in Azure. Collaborating on data governance and integrating analytics with Power BI.
Data Analyst for Technical Registrations at Alpargatas. Responsible for SAP data governance and product registration processes.
Full Stack Data Architect for Concurrency designing Azure data - intensive applications. Leading complex data architecture initiatives and mentoring engineering teams in a high - performance environment.
AHEAD builds digital business platforms; seeking a Data Engineer in a development program. Join us to grow into a technical leader emphasizing skills across various practices.
Data Engineer creating clean, reliable data pipelines for Plenti, a fintech lender. Collaborating with modern tools like AWS and Databricks to enhance data quality and analytics.