Data Engineer

OP Consulting Group LLC
United States
29 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
3 years minimum
Working hours
Regular working hours
Job source

Tech stack

Adaptable Database Systems Data Analysis Information Engineering Data Transformation Data Systems Operational Data Store Power BI SQL Databases Systems Integration Freeform SQL Information Technology Data Analytics

Job description

The Senior Data Engineer will perform duties including, but not limited to, the following:

Portfolio Reporting and Business Intelligence

  • Design, develop, implement, and maintain enterprise dashboards, executive scorecards, and business intelligence solutions supporting IT investment management.
  • Develop standardized portfolio reporting to support IT investments, project performance, portfolio governance, and executive oversight.
  • Design meaningful Key Performance Indicators (KPIs), portfolio metrics, and visualizations that clearly communicate organizational performance and portfolio health.
  • Develop automated reporting processes that improve reporting accuracy, consistency, and timeliness.
  • Produce recurring and ad hoc executive reports for organizational leadership, governance bodies, and business stakeholders.

Data Engineering and Integration

  • Design, develop, and maintain data pipelines that integrate information from the organization’s Project Portfolio Management (PPM) platform, business intelligence environment, financial systems, governance repositories, and other enterprise data sources.
  • Develop, optimize, and maintain complex SQL queries, data models, and data transformation processes.
  • Design scalable data models that support enterprise reporting and analytical capabilities.
  • Ensure data quality, consistency, integrity, and reliability across reporting environments.
  • Recommend improvements to the enterprise data architecture supporting investment management and portfolio reporting.

Portfolio Analytics

  • Analyze project, portfolio, financial, schedule, resource, governance, and operational data to identify trends, risks, opportunities, and emerging issues.
  • Assess project health, risk management effectiveness, deliverable quality, and compliance with applicable standards and governance requirements.
  • Perform root-cause analysis to identify systemic portfolio issues and recommend corrective actions.
  • Identify risks and opportunities that require escalation to portfolio management and executive leadership.
  • Develop predictive and trend-based reporting to support proactive portfolio management and investment decision-making.

Business Analysis and Stakeholder Engagement

  • Facilitate meetings with business stakeholders to identify reporting requirements, performance measures, and analytical needs.
  • Gather, analyze, and document business and technical requirements for enterprise reporting solutions.
  • Translate business requirements into technical reporting, dashboard, and data solutions.
  • Recommend reporting strategies, visualization approaches, and analytical solutions that improve executive decision-making.
  • Document business requirements, technical specifications, data definitions, metadata, and reporting standards.

Continuous Improvement

  • Identify opportunities to automate manual reporting activities and improve reporting efficiency.
  • Recommend enhancements to portfolio reporting processes, governance metrics, and business intelligence capabilities.
  • Support the development and maintenance of enterprise reporting standards for project and investment management.
  • Participate in continuous improvement initiatives supporting organizational methodologies, investment management practices, and enterprise reporting capabilities.
  • Provide knowledge transfer, documentation, and technical guidance to internal staff to support long-term sustainability.

Requirements

The selected candidate must possess:

  • A minimum of three years, preferably four to seven years, of professional experience in data engineering, business intelligence, data analytics, or a related information technology discipline.
  • Demonstrated experience designing, developing, implementing, and maintaining enterprise reporting and business intelligence solutions.
  • Experience integrating, transforming, and analyzing data from multiple enterprise systems using SQL and modern data engineering techniques.
  • Experience developing interactive dashboards, scorecards, and executive reports using Microsoft Power BI or a comparable business intelligence platform.

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