Data Engineering Lead

JLL supports the Whole You, personally and professionally.

Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology to our clients. We are committed to hiring the best, most talented people in our industry; and we support them through professional growth, flexibility, and personalized benefits to manage life in and outside of work.  Whether you’ve got deep experience in commercial real estate, skilled trades, and technology, or you’re looking to apply your relevant experience to a new industry, we empower you to shape a brighter way forward so you can thrive professionally and personally.

About JLL and JLL Technologies

JLL is a leading professional services firm that specializes in real estate and investment management. Our vision is to reimagine the world of real estate, creating rewarding opportunities and amazing spaces where people can achieve their ambitions. In doing so, we will build a better tomorrow for our clients, our people and our communities.

JLL Technologies is a specialized group within JLL. At JLL Technologies, our mission is to bring technology innovation to commercial real estate. We deliver unparalleled digital advisory, implementation, and services solutions to organizations globally. Our goal is to leverage technology to increase the value and liquidity of the world's buildings, while enhancing the productivity and the happiness of those that occupy them.

What this job involves

 JLL Technologies Enterprise Data team is a newly established central organization that oversees JLL’s data strategy. We are seeking data professionals to work with our colleagues at JLL around the globe in providing solutions, developing new products, building enterprise reporting & analytics capability to reshape the business of Commercial Real Estate using the power of data and we are just getting started on that journey!

We are looking for a Lead Data Engineer who is self-starter to work in a diverse and fast-paced environment that can join our Enterprise Data team. This is an individual contributor role that is responsible for designing and developing of data solutions that are strategic for the business and built on the latest technologies and patterns. This a global role that requires partnering with the broader JLLT team at the country, regional and global level by utilizing in-depth knowledge of data, infrastructure, technologies and data engineering experience.

As a Data Engineering Lead at JLL Technologies, you will:

• Design, Architect, and Develop solutions leveraging cloud big data technology to ingest, process and analyze large, disparate data sets to exceed business requirements.
• Develop systems that ingest, cleanse and normalize diverse datasets, develop data pipelines from various internal and external sources and build structure for previously unstructured data.
• Identify performance bottlenecks in the data pipelines, ETL processes, and queries, and propose and implement optimization strategies to improve overall system performance.
• Define and implement data architecture best practices, ensuring the scalability, availability, and security of data infrastructure, including data lakes, data warehouses, and related components.
• Collaborate with data scientists and analysts to design and implement data models that support complex analytical and reporting requirements.
• Conduct data profiling, validation, and quality checks to ensure data integrity and consistency.
• Unify, enrich, and analyze variety of data to derive insights and opportunities
• Design and develop scalable, reliable, and efficient data pipelines, utilizing appropriate technologies and frameworks such as Apache Spark, Airflow, and cloud-based services (e.g., ADLS, AWS S3, Google Cloud Storage).
• Optimize data extraction, transformation, and loading processes (ETL) to enable smooth and timely ingestion of large volumes of structured and unstructured data from various sources.
• Develop POCs to influence platform architects, product managers and software engineers to validate solution proposals and migrate
• Develop data lake solution to store structured and unstructured data from internal and external sources and provide technical guidance to help migrate colleagues to modern technology platform
• Establish and enforce data governance standards, policies, and procedures to ensure compliance with relevant regulations and maintain data security and privacy.
• Develop and maintain documentation related to data flows, data dictionaries, data lineage, and data integration processes.
• Contribute and adhere to CI/CD processes, development best practices and strengthen the discipline in Data Engineering Org
• Mentor other members in the team and organization and contribute to organizations’