JLL supports the Whole You, personally and professionally.
Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology to our clients. We are committed to hiring the best, most talented people in our industry; and we support them through professional growth, flexibility, and personalized benefits to manage life in and outside of work. Whether you’ve got deep experience in commercial real estate, skilled trades, and technology, or you’re looking to apply your relevant experience to a new industry, we empower you to shape a brighter way forward so you can thrive professionally and personally.
What this job involves:
As a Data Developer in JLLT, 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.
This role has flexibility to work remotely at times and candidates may be required to work outside of standard business hours on occasion to support global employees and times zones.
What your day-to-day will look like:
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
Required Qualifications:
Experience & Education
Bachelor’s degree in Computer Science, Information Systems, Mathematics, Statistics, or related quantitative discipline
3+ 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
If this job description resonates with you, we encourage you to apply even if you don’t meet all of the requirements below. We’re interested in getting to know you and what you bring to the table!
Personalized benefits that support personal well-being and growth:
JLL recognizes the impact that the workplace can have on your wellness, so we offer a supportive culture and comprehensive benefits package that prioritizes mental, physical and emotional health.
About JLL –
We’re JLL—a leading professional services and investment management firm specializing in real estate. We have operations in over 80 countries and a workforce of over 102,000 individuals around the world who help real estate owners, occupiers and investors achieve their business ambitions. As a global Fortune 500 company, we also have an inherent responsibility to drive sustainability and corporate social responsibility. That’s why we’re committed to our purpose to shape the future of real estate for a better world. We’re using the most advanced technology to create rewarding opportunities, amazing spaces and sustainable real estate solutions for our clients, our people, and our communities.
Our core values of teamwork, ethics and excellence are also fundamental to everything we do and we’re honored to be recognized with awards for our success by organizations both globally and locally.
Creating a diverse and inclusive culture where we all feel welcomed, valued and empowered to achieve our full potential is important to who we are today and where we’re headed in the future. And we know that unique backgrounds, experiences and perspectives help us think bigger, spark innovation and succeed together.
