Staff Data Engineer

Chicago, IL

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 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:

• 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
• 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 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

What we are looking for:

• 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.
• 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
• 3+ years of experience working with source code control systems and Continuous Integration/Continuous Deployment tools
• Independent and able to manage, prioritize & lead workload
• Experience with big data technologies like Apache Spark, and distributed computing frameworks using databricks, EMR, Glue or HD Insight.
• Familiarity with data modeling concepts, database systems (relational and NoSQL), and data governance practices.
• Strong analytical and problem-solving skills.

What you can expect from us:

You’ll 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...

Apply today!

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If this job description resonates with you, we encourage you to apply even if you don’t meet all of the requirements. We’re interested in getting to know you and what you bring to the table!

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Jones Lang LaSalle (“JLL”) is an Equal Opportunity Employer and is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process – including the online application and/or overall selection process – you may contact us at Accommodation Requests. This email is only to request an accommodation. Please direct any other general recruiting inquiries to our Contact Us page > I want to work for JLL.