Associate, Data Engineer Workplace Data & Insights
BlackRock (company site, opens in a new tab)3–6 yrsGurugramOn-siteDirect career pageEst. 18–30 LPA
Posted 5h ago
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Reach people at BlackRock
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at BlackRock you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Develop and optimize trusted data models and Power BI reports to support workplace and digital environment analytics for 30,000 employees globally.
- Collaborate with pipeline engineers to manage data ingestion, integration, transformation, and improve data reliability and performance.
- Implement data quality controls, security standards, and enable self-service analytics for stakeholders across physical and digital workplace domains.
Minimum Requirements
- 3–6 years experience in business intelligence, analytics engineering, data engineering or related field delivering production-grade data and reporting solutions.
- Strong SQL skills and experience with Power BI semantic models, reports, dashboards, and performance optimization.
- Experience partnering on data pipelines involving APIs, files, databases, and cloud platforms for integrated analytical datasets.
- Work Experience Required: 3–6 years in data engineering/analytics; No explicit mention of mandatory degree, notice period, or strict location requirements.
Ideal Candidate Profile
- Experienced with Microsoft analytics tools including Power BI, Microsoft Fabric, Azure data services, and modern cloud data architectures.
- Ability to translate complex data needs into maintainable solutions and communicate technical findings clearly to diverse stakeholders.
- Familiarity with workplace data domains (Microsoft 365, occupancy, space, facilities, employee experience) and data governance (privacy, security, role-based access).