Data Engineer 1

About the Role

Join JLL Technologies as a Data Engineer 1 and be part of a newly established central organization overseeing JLL's data strategy.

This entry-level role is designed for motivated individuals who want to grow within a diverse and fast-paced environment.

Responsibilities

• Support the development of information infrastructure and data management processes as JLL moves toward a more sophisticated, agile, and robust target state data architecture.
• Assist in building systems that ingest, cleanse, and normalize diverse datasets, contribute to data pipelines from various internal and external sources, and help structure previously unstructured data.
• Learn and apply modern data architecture approaches under the guidance of senior engineers to help meet key business objectives and contribute to end-to-end data solutions.
• Develop an understanding of how data flows and is stored across multiple enterprise applications such as CRM, Broker & Sales tools, Finance, and HR systems.
• Support the development of data management and data persistence solutions for application use cases, leveraging both relational and non-relational databases.
• Participate in code reviews, documentation, and knowledge sharing activities to grow your technical expertise and contribute to team best practices.

What You'll Need

• 0–2 years overall work experience and a Bachelor's degree (or in progress) in Information Science, Computer Science, Mathematics, Statistics, or a quantitative discipline in science, business, or social science.
• Foundational knowledge of Python and SQL; exposure to data engineering tools such as Spark, Kafka, or cloud storage platforms is a plus.
• Familiarity with Azure cloud services such as Azure SQL Server, Azure Data Lake Storage, Cosmos DB/MongoDB, or Azure Event Hubs is advantageous but not required.
• Awareness of data pipeline concepts, data lake environments, and event-driven architectures; willingness to learn and apply these in a hands-on setting.
• Experience or coursework involving data processing, ETL workflows, or working with structured and unstructured data will be an advantage.

Resume Tip

As a Data Engineer 1, you'll join an entrepreneurial, inclusive culture where you'll succeed together with like-minded people to achieve great things.