Sr Manager Data Engineering

at Jones Lang LaSalle in Chicago, Illinois, United States

Job Description

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... For full info follow application link.

JLL Is an Equal Opportunity Employer JLL is committed to developing and maintaining a diverse workforce.  JLL strongly believes in equal opportunity extended to all individuals in all aspects of the employment relationship, including recruitment, hiring, training, promotion, transfer, discipline, layoff, recall and termination without regard to race, color, religion, belief, creed, age, sex, pregnancy or maternity (including childbirth and related conditions), family responsibility (e.g. child care, elder care), nationality, ethnic or national origin or ancestry, citizenship, marital status, civil partner status, sexual orientation, gender identity or expression, transgender status, veteran’s status, genetic information, trade union membership, social position, political view or status as a qualified individual with a disability, protected leave status or any other protected characteristic in accordance with applicable law.  The company also endeavors to make reasonable accommodations for known physical or mental limitations of otherwise qualified employees and applicants with disabilities unless the accommodations would impose an undue hardship on the operation of our business and ensures that employment decisions are based only on valid job requirements.