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Data Engineer 1
Location
India
Posted
23 hours ago
Salary
0
Seniority
Mid Level
Job Description
Data Engineer 1
JLL
Role Description JLL Technologies Enterprise Data team is a newly established central organization that oversees JLL’s data strategy. The Data Engineering professional will work with our colleagues at JLL around the globe in providing solutions, developing new products, and building enterprise reporting & analytics capability to reshape the business of Commercial Real Estate using the power of data. Data Engineer 1 is an entry-level role designed for motivated individuals who want to grow within a diverse and fast-paced environment. You will join our Enterprise Data team as an individual contributor, working under the guidance of senior engineers to develop data solutions that are strategic for the business and built on the latest technologies and patterns. This is a global role that requires collaboration with the broader JLLT team at the country, regional, and global level. As a Data Engineer 1 at JLL Technologies, you will: - 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. Qualifications - 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. - A collaborative team player who is reliable, self-motivated, and capable of contributing within a fast-paced environment working across cross-functional teams. Benefits - Join an entrepreneurial, inclusive culture where we succeed together – across the desk and around the globe. - Our Total Rewards program reflects our commitment to helping you achieve your ambitions in career, recognition, well-being, benefits, and pay. - Develop your strengths and enjoy a fulfilling career full of varied experiences. Company Description 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. JLL Technologies is a specialized group within JLL. Our mission is to bring technology innovation to commercial real estate, delivering unparalleled digital advisory, implementation, and services solutions to organizations globally.
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