About the role

 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 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. 

Key Responsibilities:

As a Data Engineer, you will be responsible for:

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 

Interact 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 tools, Finance, HR etc 

Unify, enrich, and analyze variety of data to derive insights and opportunities 

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 

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 

Contribute and adhere to CI/CD processes, development best practices and strengthen the discipline in Data Engineering Org 

Sounds like you? To apply you need to be: 

Experience and Education:

In order to achieve the key objectives of role, you will need the following skills and experience

6+ years’ overall work experience and bachelor’s degree in Information Science, Computer Science, Mathematics, Statistics or a quantitative discipline in science, business, or social science. 

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. 

3 or more years of active development experience as a data developer using Python-spark, Spark Streaming, Azure SQL Server, Cosmos DB/Mongo DB, Azure Event Hubs, Azure Data Lake Storage, Azure Search etc. 

Design & develop data management and data persistence solutions for application use cases leveraging relational, non-relational databases and enhancing our data processing capabilities 

Build, test and enhance data curation pipelines integration data from wide variety of sources like DBMS, File systems, APIs and streaming systems for various KPIs and metrics development with high data quality and integrity 

Maintain the health and monitoring of assigned data engineering capabilities that span analytic functions by triaging maintenance issues; ensure high availability of the platform; monitor workload demands; work with Infrastructure Engineering teams to maintain the data platform; serve as an SME of one or more application 

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 

5+ years of experience working with source code control systems and Continuous Integration/Continuous Deployment tools 

Independent and able to manage, prioritize & lead workload 

Technical Skills & Competencies

Data Structures and Algorithms

Experience in writing high performance production ready code.

Azure infrastructure - Databricks and Azure Functions

Python libraries such as NumPy, SciPy, Pandas, etc

What we can do for you:

At JLL, we make sure that you become the best version of yourself by helping you realize your full potential in a fully entrepreneurial and inclusive work environment. If you harbour a passion for learning and adapting new technologies, JLL will continuously provide you with platforms to enrich your technical domains.  We will empower your ambitions through our dedicated Total Rewards Program, competitive pay, and benefits package. It’s no surprise that JLL has been recognized by the Ethisphere Institute as one of the 2019 World’s Most Ethical Companies for the 12th consecutive year.