Senior Data Engineer
Jones Lang LaSalle Incorporated2 months ago
Remote, Mexico or Guadalajara, MexicoSenior
Responsibilities
- Design and build advanced reusable and automated frameworks for enterprise-scale data processing.
- Architect platform features and full-stack data solutions integrating multiple Azure services and cloud technologies.
- Design and implement relational and star schema data models, data warehousing solutions, and data processing capabilities.
- Develop and implement AI-powered solutions and enterprise automation frameworks.
- Lead complex problem-solving, root cause analysis, system debugging, and technical decision-making for critical systems.
- Mentor junior and intermediate data engineers on advanced technical concepts and best practices.
- Influence business and regulatory requirements and align technical solutions with enterprise strategy.
- Use storytelling and data visualization to build consensus among diverse stakeholder groups.
- Drive data engineering strategy, technical innovation, best practices, and organizational value.
Requirements
- Bachelor’s degree in Computer Science, Information Systems, Mathematics, Statistics, or a related quantitative discipline is required; a master’s degree is preferred.
- 5–8 years of data engineering experience with a proven record of technical leadership.
- Demonstrated experience building enterprise-scale data solutions and frameworks.
- Experience mentoring engineers and influencing technical strategy.
- Expert Python skills, including inheritance, reflection, metaprogramming, and advanced design patterns.
- Comprehensive understanding of end-to-end data solution development and full-stack capabilities.
- Expert knowledge of Apache Spark, PySpark, Kafka, and distributed computing concepts.
- Deep proficiency in Azure data services, including Databricks, Azure Functions, and Event Hubs.
- Advanced expertise in relational database design, star schema modeling, and data warehousing.
- Proven experience implementing enterprise-scale AI-powered solutions and automation frameworks.
- Strong system design and architecture skills for complex data solutions and microservices.
- Experience with enterprise projects, AI expertise, process improvement, technical communication, and consensus building.
Benefits
- Remote work arrangement in Jalisco, Mexico.
- Opportunities for technical leadership, strategic influence, and career advancement.
- Work on enterprise-scale challenges and AI-powered solutions in real estate technology.
- JLL Total Rewards program covering career development, recognition, well-being, benefits, and pay.
- Equal opportunity employer with reasonable accommodation support.
Tech Stack
Categories
Data Engineering
About Jones Lang LaSalle Incorporated
JLL is a global commercial real estate services and investment management firm serving occupiers and investors. It provides property and facilities management, leasing and tenant representation, capital markets, project and development services, workplace strategy, sustainability, and real estate technology and analytics, with a fee- and commission-based advisory, outsourcing, transaction, and management-fee model. Headquartered in Chicago, it is a public company listed on the NYSE (JLL).