Jll
JLL provides professional services in real estate and investment management worldwide.
Data Engineer 2
Design and develop cloud‑based data pipelines and infrastructure using SQL, PySpark, and Databricks.
Job Highlights
About the Role
• Deliver digital advisory, implementation, and services solutions globally. • Provide best‑in‑class technologies aligning technology, people, and processes. • Leverage technology to increase building value, liquidity, and occupant productivity. • Design and develop strategic data solutions using latest technologies. • Partner globally with JLLT teams across country, regional, and global levels. • Build and maintain scalable cloud‑based data infrastructure with SQL and PySpark. • Collaborate with cross‑functional teams to define data ingestion architecture. • Implement efficient data pipeline frameworks for data lakes, warehouses, and analytics. • Troubleshoot data processing, quality, and pipeline performance issues. • Stay current with emerging cloud data engineering technologies. • Work with data scientists and analysts to meet data solution needs. • Document infrastructure, pipelines, and ETL processes for knowledge transfer. • Create automated tests and integrate them into testing frameworks.
Key Responsibilities
- ▸cloud infrastructure
- ▸data pipelines
- ▸data ingestion
- ▸automated testing
- ▸pipeline troubleshooting
- ▸data solutions
What You Bring
• Seek self‑starter Data Engineer P2 for a diverse, fast‑paced Enterprise Data team. • Bachelor’s (or Master’s) in Computer Science or related field; 3‑5 years data engineering experience. • Expertise in Python, SQL, PySpark, Spark, and Databricks for big data projects. • Strong database testing, complex SQL queries, streaming/API validation, and automation. • Experience with web services (WSDL, REST) and microservices for data validation. • Proficiency with cloud platforms (AWS, Azure, GCP) and data warehousing (Redshift, BigQuery, Snowflake). • Knowledge of OOP, design patterns, and DevOps CI/CD pipelines using GitHub. • Skilled in unit, functional, integration, UAT, system, and security testing of data pipelines. • Familiar with data modeling, governance, and AI technologies. • Problem‑solving and complex data issue analysis. • Strong communication and teamwork skills. • Attention to detail delivering reliable data solutions. • Adaptability to evolving technologies.
Requirements
- ▸python
- ▸sql
- ▸pyspark
- ▸spark
- ▸databricks
- ▸cloud
Benefits
JLL leverages artificial intelligence to match candidate profiles with role requirements and follows a comprehensive privacy policy to protect personal information throughout the recruitment process. The company is an equal‑opportunity employer and provides reasonable accommodations for individuals with disabilities.
Work Environment
Office Full-Time