Jll

Real Estate

DataEngineerII

Bengaluru, Karnataka, India FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid candidates.

The Brief

“Data Engineer II at Jll. Skills: Data Engineering, Python, SQL, Agentic AI. Design, build, and maintain data pipelines. Develop data services and APIs”

Industry & Context.

Real Estate

What They're Looking For.

Must Have

Python, SQL, Data pipelines on a cloud data platform (Databricks, Azure Synapse, or equivalent), PySpark or equivalent distributed data processing framework, Data orchestration tools (Azure Data Factory, Airflow, Databricks Workflows, or similar), Delta Lake, lakehouse architecture, or similar open table formats, AI/ML integration, LLM APIs, or agent frameworks (LangGraph, LangChain, or equivalent), Python web frameworks (FastAPI preferred) for building data services and APIs, AI-powered development tools (Cursor AI, GitHub Copilot, or similar), Git version control, Microsoft Azure cloud platform

Nice to Have

Databricks Genie or natural language to SQL query platforms, Vector databases (Qdrant, PgVector, ChromaDB), LangGraph multi-agent orchestration, Event-driven patterns (Azure Service Bus, Dapr), Azure cloud services (Data Lake, Azure Data Factory, Key Vault, Blob Storage), Distributed task processing (Celery, Redis), Containerization (Docker) and Kubernetes, Data governance frameworks, data cataloging tools, or data quality platforms, Observability tools (Datadog, LangSmith)

What You'll Do.

and maintain data pipelines

Develop data services and APIs

Write and optimize SQL

Implement pipeline monitoring and data quality checks

Manage data workflows using orchestration tools

Build AI agents to automate data engineering tasks

Develop agentic workflows

Implement LLM-powered natural language to data query capabilities

Collaborate with AI engineers to deploy RAG pipelines

Build and maintain data models and lakehouse architecture

Implement data access patterns and caching

Develop event-driven data workflows

Assist in distributed task processing

Contribute to CI/CD pipelines and infrastructure-as-code

Write unit and integration tests

Participate in code reviews

Implement structured logging and observability

Follow data governance

and compliance practices

Collaborate with senior engineers and product managers

Document data models and pipeline design

Participate in GenAI knowledge-sharing sessions

Upskill in emerging Agentic AI frameworks

Take ownership of data domains and pipeline components

How You'll Work.

Team & Collaboration

Collaborate with senior data engineers, AI engineers, and product managers in an Agile environment; Work collaboratively in a team environment

Communication Scope

Good communication skills

Full 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** We are looking for a Data Engineer II with hands-on data engineering experience and a growing passion for Agentic AI to join our Azara Data & AI Engineering team at JLL Technologies. You will build and maintain data pipelines, transformation workflows, and data services that power Azara, our AI-driven data intelligence platform for commercial real estate — while actively developing AI-augmented and agentic capabilities to make those workflows smarter, self-healing, and more autonomous. This role is ideal for a data engineer who wants to go beyond traditional pipelines and apply Agentic AI to real-world data engineering challenges at enterprise scale. ## **Key Responsibilities** ### **Data Engineering & Pipeline Development** * Design, build, and maintain scalable data ingestion, transformation, and serving pipelines using Python and PySpark on Databricks * Develop data services and APIs (FastAPI) that expose curated data assets to downstream applications and AI services * Write and optimize SQL for data transformation, aggregation, and quality validation across large-scale datasets * Implement pipeline monitoring, alerting, and data quality checks to ensure reliability and SLA compliance * Manage data workflows using orchestration tools (Azure Data Factory, Airflow, or Databricks Workflows) ### **Agentic AI Integration** * Build AI agents that automate data engineering tasks such as self-

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