Data Engineer
Jones Lang LaSalle Incorporated2 months ago
Tel Aviv-Yafo, IsraelSenior
Responsibilities
- Design and implement scalable, efficient, and robust data pipelines.
- Maintain the data platform to support reliability, security, and scalability.
- Collaborate with internal developers and stakeholders to gather requirements, deliver insights, and align project goals.
- Mentor junior engineers through knowledge sharing and guidance.
- Conduct code reviews to maintain quality and consistency.
- Integrate financial, operational, and leasing data into the JLL Asset Beacon platform.
Requirements
- A STEM degree, preferably in Computer Science or Computing.
- At least 5 years of experience in data engineering, data warehousing, or a related field.
- Strong Python and PySpark experience.
- Essential SQL skills.
- Experience with data orchestration tools such as Airflow, ADF, or SSIS.
- Hands-on experience using AI-powered development tools to build, test, and ship production code.
- Comfort applying AI/ML techniques within data pipelines and platform features.
- Solid understanding of data modeling principles and data warehousing concepts.
- Financial or real estate experience is advantageous but not required.
Benefits
- The role is on-site in Tel Aviv, Israel.
- JLL is an equal opportunity employer and provides reasonable accommodations during the employment process.
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).