Jones Lang LaSalle (JLL) is hiring a Data Engineer to lead the development of scalable data pipelines and integration of diverse data sources into the JLL Asset Beacon platform. You will consolidate financial, operational, and leasing data into a unified platform that delivers accurate insights for commercial real estate asset management.
What You'll Do
- Design and implement scalable, efficient, and robust data pipelines.
- Support and maintain the data platform to ensure reliability, security, and scalability.
- Work closely with internal developers and stakeholders to gather requirements, deliver insights, and align project goals.
- Mentor junior engineers, fostering their growth through knowledge sharing and guidance.
- Conduct code reviews to maintain quality and consistency.
What We're Looking For
- STEM degree, preferably in Computer Science or Computing.
- At least 2 years of experience in data engineering, data warehousing, or a related field.
- Strong Python and PySpark experience.
- SQL skills are essential.
- Experience with data orchestration platforms or tools such as Airflow, ADF, or SSIS.
- Solid understanding of data modeling principles and data warehousing concepts.
Nice to Have
- Financial or real estate experience.
Technical Stack
- Spark
- Airflow
- Kubernetes
- Azure
- CubeJS
Team & Environment
You will collaborate with internal developers and stakeholders.
Work Mode
This is an onsite position located in Bristol, GBR.
JLL empowers you to shape a brighter way. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong.
For candidates in the United States, please see a full copy of our Equal Employment Opportunity policy here.
