Data Engineer 2 - Full Stack

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.

Data Engineer 2 (Full Stack)

About JLL and JLL Technologies

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. In doing so, we will build a better tomorrow for our clients, our people, and our communities.

JLL Technologies is a specialized group within JLL. At JLL Technologies, our mission is to bring technological innovation to commercial real estate. We deliver unparalleled digital advisory, implementation, and services solutions to organizations globally. Our goal is to leverage technology to increase the value and liquidity of the world's buildings, while enhancing the productivity and happiness of those that occupy them.

What this job involves

We are seeking a talented Data Engineer with full-stack capabilities to join our team. In this role, you will contribute to designing, building, and scaling a core data platform that powers data-driven insights across JLL. You will help consolidate siloed systems into a unified data layer, serving as the single source of truth for stakeholders across the business. The ideal candidate is a capable data architect and software engineer who can translate user requirements into robust data products and applications.

What you'll get to do

As a Data Engineer, you will own and develop key components of our data ecosystem. Your "customers" are internal and external stakeholders—including brokers, clients, application teams, and data scientists—and your mission is to provide them with the data and tools needed to generate market-leading insights. You will collaborate with Business, Product, and Engineering teams to build a platform that can keep pace with shifting market priorities. This is an opportunity to make a meaningful impact by building the foundational data layer for intelligent applications, Agentic AI workflows, and LLM-powered assistants.

Key responsibilities

Data Pipeline Development: Build and maintain reliable data pipelines that consolidate regional and country-specific systems into a unified data platform.

Data Integration: Integrate structured and unstructured data sources to enable advanced analytics, model building, and insight generation.

Application Development: Develop features and full-stack applications that bridge structured and unstructured data for downstream consumption, enabling smarter search, contextual recommendations, and automated report generation.

API and Integration Development: Build integration components, including APIs and integration patterns, to enable applications, Agentic AI, and analytics users to consume data effectively.

ML Model Support: Support the integration of machine learning models into production workflows, ensuring reliable execution and consumption by downstream applications.

Data Enablement: Contribute to the design of semantic layers and knowledge graphs to make commercial real estate data discoverable and consumable by stakeholders and AI/ML systems.

Technical Implementation: Participate in technical solutioning across the project lifecycle, from discovery and architecture through deployment and iteration.

DevOps and Quality: Deploy and monitor data products on cloud platforms with observability, telemetry, data lineage, and auditability to ensure outputs are traceable and compliant.

Cross-functional Collaboration: Work closely with Business, Product, and Engineering teams to translate stakeholder needs into data products with rapid turnaround.

Who you are

You are an accomplished engineer with a passion for building reliable data platforms and the applications that consume them. You think systematically about scalable solutions and enjoy designing services that support data-intensive applications and analytics. You thrive in an iterative, fast-paced environment where priorities shift with market conditions. You have a developing sense of ownership and take pride in the quality and reliability of the data infrastructure you build.

Qualifications and skills

Required Qualifications

2–4 years of experience in data engineering and Big Data development, with exposure to scalable, fault-tolerant architectures.

1–2 years of hands-on experience with cloud platforms such as Azure or AWS (e.g., Databricks, Azure Data Factory, Synapse).

Solid proficiency in a server-side programming language such as Python, Java, or Scala, with experience in PySpark/Spark for distributed data processing.

Backend development experience, including Java and Spring Boot.

Understanding of data modeling principles and how data structures affect retrieval and analytics.

Basic understanding of machine learning concepts and model deployment.

Experience working with SQL (e.g., Azure SQL), NoSQL (e.g., Cosmos DB, MongoDB), and emerging AI-centric databases such as vector or knowledge/graph databases.

Ability to write optimized SQL and work with large datasets.

Preferred Qualifications

Bachelor's degree in Computer Science, Engineering, or a related field.

Experience with modern frontend frameworks such as React, Angular, or Vue.js.

Exposure to semantic layers or knowledge graphs.

Hands-on experience with streaming tools like Kafka or Spark Streaming.

Understanding of DevOps principles, CI/CD pipelines, and containerization (Docker, Kubernetes).

Exposure to LLM-driven workflows, prompt engineering, or orchestration tools (e.g., LangChain, LlamaIndex, CrewAI).

Familiarity with AI-powered development tools (e.g., Codex, Claude, Cursor) as part of an AI-augmented software development lifecycle.

Key attributes

Problem-Solving Skills: Strong analytical and systems-thinking abilities.

Ownership & Drive: A proactive, self-motivated individual with growing ownership for the platform and products you build.

Collaboration: A team-first attitude with ability to collaborate effectively with business stakeholders, product managers, and distributed engineering teams.

Communication: Good verbal and written communication skills, with an ability to explain technical concepts clearly.

Adaptability & Speed: The ability to work at a fast pace and translate business needs into delivered data products with quick turnaround.

Location:

If this job description resonates with you, we encourage you to apply even if you don’t meet all of 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.

JLL Privacy Notice

Jones Lang LaSalle (JLL), together with its subsidiaries and affiliates, is a leading global provider of real estate and investment management services. We take our responsibility to protect the personal information provided to us seriously. Generally the personal information we collect from you are for the purposes of processing in connection with JLL’s recruitment process. We endeavour to keep your personal information secure with appropriate level of security and keep for as long as we need it for legitimate business or legal reasons. We will then delete it safely and securely.

For more information about how JLL processes your personal data, please view our Candidate Privacy Statement.

For additional details please see our career site pages for each country.

Jones Lang LaSalle (“JLL”) is an Equal Opportunity Employer and is committed to working with and providing reasonable accommodations to individuals with disabilities.  If you need a reasonable accommodation because of a disability for any part of the employment process – including the online application and/or overall selection process –  you may email us at [email protected]. This email is only to request an accommodation. Please direct any other general recruiting inquiries to our Contact Us page > I want to work for JLL.