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 JLLs 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 Senior 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 Senior Data Engineer 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 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 Interfaces with internal colleagues and external professionals to determine requirements, anticipate future needs, and identify areas of opportunity to drive data development Develop good understanding of how data will flow & stored through an organization across multiple applications such as CRM, Broker & Sales, Finance, HR, MDM, ODS, Data Lake, & EDW Develop data & API solutions that enable non-technical staff to make data-driven decisions 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 Design and develop data lake and API solutions to store structured and unstructured data from internal and external sources and provide technical guidance to help migrate colleagues to modern technology platform What we are looking for Bachelors degree in Information Science, Computer Science, Mathematics, Statistics or a quantitative discipline in science, business, or social science.
Minimum of 3 years of experience as a data and API developer using Python / Nodejs, Azure Functions, Cosmos DB, Azure Event Hubs, Azure Data Lake Storage, Azure Storage Queues etc.
Excellent technical, analytical and organizational skills. Effective written and verbal communication skills, including technical writing.
Hands-on engineer 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, Security etc. Hands on experience with event processing and pub-sub consumption patterns Good knowledge and exposure to Data Models, Databases like SQL Server, NoSQL Databases, Elastic Search, API management, etc.
Design & develop data management and data persistence solutions for application use cases leveraging relational, non-relational databases and enhancing our data processing capabilities.
Working experience with standard API development protocols, API gateway and tokens Experience building and maintaining a data warehouse / data lake in a production environment with efficient ETL design, implementation, and maintenance Team player, Reliable, self-motivated, and self-disciplined individual capable of executing on multiple projects simultaneously within a fast-paced environment working with cross functional teams What you can expect from us Youll join an entrepreneurial, inclusive culture.
One where we succeed together across the desk and around the globe. Where like-minded people work naturally together to achieve great things.
Our Total Rewards program reflects our commitment to helping you achieve your ambitions in career, recognition, well-being, benefits and pay.
Join us to develop your strengths and enjoy a fulfilling career full of varied experiences. Keep those ambitions in sights and imagine where JLL can take you...