Sr Manager Data Engineering

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 Sr Manager Data Engineering who is a great leader 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 leading 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 Sr Manager Data Engineering at JLL Technologies, you will:

• Contributes to the design of information infrastructure, and data management processes to move the organization to a more sophisticated, agile and robust target state data architecture
• Lead the engineering team in aligning technical initiatives with business objectives.
• Sense of ownership - leading design for new products and initiatives as well as integrating with currently implemented best-practices
• 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
• Develop and operate modern data architecture approaches to meet key business objectives and provide end-to-end data solutions
• Develop good understanding of how data will flow & stored through an organization across multiple applications such as CRM, Broker & Sales tools, Finance, HR etc
• Design & develop data management and data persistence solutions for application use cases leveraging relational, non-relational databases and enhancing our data processing capabilities
• Develop POCs to influence platform architects, product managers and software engineers to validate solution proposals and migrate
• Functionally lead team of data engineers to deliver data solutions in Agile manner while mentoring junior-level data engineers

What we are looking for:

• Bachelor’s degree in Information Science, Computer Science, Mathematics, Statistics or a quantitative discipline in science, business, or social science. 
• 12+ years of progressive experience in software engineering and manager, with a focus on data platforms.
• Experience as a data developer using Python, Kafka, Spark Streaming, Azure SQL Server, Cosmos DB/Mongo DB, Azure Event Hubs, Azure Data Lake Storage, Azure Search etc.
• Excellent technical, analytical and organizational skills.
• Hands-on engineering lead who is curious about technology, should be able to quickly adopt to change and one who understands the technologies supporting areas such as Cloud Computing (AWS, Azure(preferred), etc.), Micro Services, Streaming Technologies, Network, Secur