# Data Engineer

**Company**: BlackRock
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Category**: Data Science
**Industry**: Finance
**Wikidata**: https://www.wikidata.org/wiki/Q219635

**Apply**: https://blackrock.wd1.myworkdayjobs.com/en-US/BlackRock_Professional/job/Gurugram-India/Associate--Data-Engineer-Workplace-Data---Insights_R266668?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_b02b631c-e0e

## 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)

## Skills

### Required
- SQL
- Power BI
- data modeling
- data engineering
- analytics

### Nice to have
- Microsoft Fabric
- Azure data services
- Python
- metadata management
- data catalogs

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Source: [Apply at blackrock.wd1.myworkdayjobs.com](https://blackrock.wd1.myworkdayjobs.com/en-US/BlackRock_Professional/job/Gurugram-India/Associate--Data-Engineer-Workplace-Data---Insights_R266668?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)