Description
Your Team: Enterprise Services provides strategic workplace solutions and robust infrastructure to deliver a consistent employee experience globally.
Your role and impact: As a Data Engineer, you will shape the trusted data foundations and analytical products that support both Enterprise Services and Digital Workplace. You will work closely with a pipeline engineer to understand workplace data requirements, translate source data into reliable analytical models and reports, and turn data from physical workplaces and digital employee environments into actionable insights.
Responsibilities:
- Develop and optimize trusted data models and shared semantic models that standardize core entities, dimensions, and metrics across physical and digital workplace reporting.
- Create and maintain Power BI datasets, dashboards, reports, and analytical tools that enable leaders and operational teams to understand employee experience, technology performance, space utilization, and workplace operations.
- Enable secure self-service analytics and responsible data use through reusable datasets, clear documentation, and appropriate access controls.
- Implement data quality, lineage, testing, and observability controls, investigating issues and working with source-system owners to resolve root causes.
- Define, develop, and maintain automated, monitored, and well-documented analytical transformations and reporting processes.
- Partner with a pipeline engineer to define data ingestion, integration, and transformation requirements across digital workplace platforms, workplace technology, occupancy and space systems, facilities, and operational sources.
- Partner with product managers, analysts, technology teams, and workplace stakeholders to translate business questions into clear technical requirements and reliable data solutions.
Requirements:
- 3–6 years of experience in business intelligence, analytics engineering, data engineering, or a related discipline.
- Knowledge of data visualization best practices and design principles.
- Strong SQL skills and practical experience designing, querying, and optimizing relational, dimensional, and analytical data models.
- Experience partnering with data or pipeline engineers to specify source, ingestion, transformation, and integration needs.
- Experience developing Power BI semantic models, reports, and dashboards.
- Understanding of software engineering practices including version control, testing, deployment, monitoring, and technical documentation.
- Ability to analyze complex datasets, identify quality issues and trends, and explain technical findings clearly to business and technology stakeholders.
- Strong collaboration and problem-solving skills.
Preferred Skills:
- Hands-on experience with Microsoft Fabric, Azure data services, and related Microsoft analytics tooling.
- Experience with Python or another scripting language for data transformation, automation, and quality validation.
- Knowledge of workplace data domains such as Microsoft 365 and endpoint experience, service management, occupancy, space, building, facilities, or employee experience data.
- Familiarity with metadata management, data catalogs, master and reference data, privacy, security, and role-based access controls.
- Understanding of APIs, workflow orchestration, CI/CD, and modern cloud data architecture patterns.
Benefits:
- Strong retirement plan
- Tuition reimbursement
- Comprehensive healthcare
- Support for working parents
- Flexible Time Off (FTO)