Data Engineer 2

Job description

JLL empowers you to shape a brighter way.   Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong.  Whether you’ve got deep experience in commercial real estate, skilled trades or technology, or you’re looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward.    About the role As a Data Engineer 2, you will utilize AI, automation, and domain expertise to develop enterprise data solutions that drive strategic business value. You’ll translate business needs into technical requirements while demonstrating strategic awareness of how data engineering supports organizational objectives. Working with intermediate to advanced technical skills, you’ll solve medium to high complexity data problems and collaborate with senior engineers on strategy execution. This role focuses on building production-ready data pipelines, expanding CI/CD capabilities, and delivering solutions that impact scrum team deliverables while communicating effectively with cross-functional stakeholders. Responsibilities: Advanced Data Pipeline Development • Design and implement complete ETL/ELT workflows using intermediate to advanced techniques • Build and modify CI/CD pipelines for data processing workflows • Develop native data ingestion capabilities from various sources (APIs, databases, file systems) • Implement data validation, error handling, and monitoring in production pipelines AI & Automation Integration • Incorporate AI and automation patterns into data engineering solutions • Develop solutions that leverage automation for improved efficiency and scalability • Apply intermediate Python techniques including decorators, generators, and design patterns • Build reusable components and frameworks for team use Cross-functional Collaboration • Translate business requirements into technical data engineering solutions • Collaborate with product managers, analysts, and other stakeholders on data needs • Participate actively in scrum/agile development processes • Provide technical expertise to support strategic decision-making Data Architecture & Design • Apply data modeling principles and data warehousing concepts • Design database schemas and data integration patterns • Work with cloud services (Azure/AWS/GCP) for scalable data solutions • Optimize data storage and retrieval for performance and cost Qualifications Experience & Education • Bachelor’s degree in Computer Science, Information Systems, Mathematics, Statistics, or related quantitative discipline • 2-5 years of experience in data engineering, data development, or related technical field • Proven experience building ETL/data pipelines in production environments • Experience with agile development methodologies and cross-functional teams Technical Skills & Competencies • Programming: Intermediate Python skills including decorators, generators, object-oriented programming • SQL: Solid SQL proficiency with query optimization and performance tuning experience • Data Engineering: Experience with data orchestration platforms (Airflow, Azure Data Factory, SSIS, or similar) • Big Data: Familiarity with Apache Spark, PySpark, or similar distributed processing frameworks • Cloud Platforms: Hands-on experience with Azure, AWS, or GCP data services (Databricks, Azure Functions, Delta Lake, etc.) • Data APIs & Semantic Layer: Familiarity with semantic layer tools (CubeJS or similar) for data access and analytics • CI/CD: Understanding of continuous integration/deployment for data pipelines • <span style="color:#