Data Engineer 2

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
• Design Patterns: Knowledge of software design patterns and their application in data engineering
• AI/Automation: Basic understanding of AI/automation tools and their integration into data workflows

Core Competencies Assessment

• Technical Skills (40%): Built ETL/data pipelines, production experience, CI/CD knowledge, AI/automation awareness
• Problem-Solving (25%): Production pipeline experience, architecture basics, scalability awareness
• Communication (20%): Agile team experience, stakeholder communication, cross-functional work
• Learning & Growth (15%): AI/automation project exposure, learning track record, business understanding

What we can do for you:

You’ll join a dynamic team where you’ll work on cutting-edge data engineering projects that incorporate AI and automation technologies. We provide opportunities to expand your technical skills while gaining valuable experience in enterprise-scale data solutions and cross-functional collaboration.

Our Total Rewards program reflects our commitment to helping you achieve your ambitions in career, recognition, well-being, benefits and pay.

Join us to advance your data engineering career while contributing to innovative solutions that leverage AI and automation to transform real estate data processing and analytics.

Location:

Scheduled Weekly Hours:

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

At JLL, we harness the power of artificial intelligence (AI) to efficiently accelerate meaningful connections between candidates and opportunities. Using AI capabilities, we analyze your application for relevant skills, experiences, and qualifications to generate valuable insights about how your unique profile aligns with the specific requirements of the role you're pursuing.

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