Role Summary
BlackRock is seeking a skilled Associate, Data Engineer to join the Workplace Data & Insights team within Enterprise Services in Gurgaon, Haryana, India. In this hybrid role (working at least 4 days per week in the office), you will help establish trusted data foundations, shared semantic models, and analytical products supporting global Enterprise Services and Digital Workplace initiatives. Collaborating closely with pipeline engineers, product managers, and technology leaders, you will design robust Power BI datasets, optimize data transformation pipelines, and convert complex workplace operations and digital employee telemetry into actionable business intelligence for nearly 30,000 employees globally.
Key Responsibilities
- Data & Semantic Modeling: Develop and optimize standardized dimensional data models and reusable Power BI semantic layers across physical facilities, space utilization, and digital workplace systems.
- BI & Dashboard Engineering: Design, build, and maintain high-impact Power BI reports, dashboards, and self-service analytics datasets to deliver insights on employee experience, technology performance, and operational efficiency.
- Data Ingestion & Pipeline Alignment: Partner with upstream pipeline engineers to define data extraction, ingestion, and transformation specifications across REST APIs, flat files, cloud platforms, and relational databases.
- Data Quality & Observability: Implement automated testing, lineage tracking, and data observability controls to identify anomalies, conduct root-cause investigations, and ensure reporting accuracy.
- Self-Service Enablement & Governance: Establish reusable datasets, clear data documentation, and role-based access controls (RBAC) in strict alignment with corporate InfoSec, audit, and privacy policies.
- Cross-Functional Collaboration: Translate complex business questions from operations, real estate, and digital workplace teams into reliable, production-grade analytics deliverables.
Key Qualifications
- Education: Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, Data Science, or a related quantitative field.
- Experience: 3 to 6 years of hands-on experience in business intelligence, analytics engineering, or data engineering, delivering enterprise-grade reporting and analytical solutions.
- Core Technical Skills: Advanced SQL querying and optimization, relational and dimensional data modeling (star/snowflake schemas), and comprehensive expertise in Power BI (including Power Query, DAX, and dataset performance tuning).
- Engineering Practices: Solid grounding in software delivery practices, including version control (Git), testing, CI/CD deployment principles, and technical documentation.
- Preferred Capabilities: Hands-on experience with Microsoft Fabric, Azure data services, Python scripting for data transformation, and familiarity with workplace telemetry (e.g., Microsoft 365, facilities management, or space occupancy data).
About BlackRock
BlackRock is a global investment manager and technology provider dedicated to helping more and more people experience financial well-being. Operating at the intersection of finance and advanced technology, BlackRock delivers innovative platforms and services that empower clients, institutions, and infrastructure projects across the globe.