Software 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.    Software Engineer 2 Our team builds and operates a modern cloud-based analytics platform for Commercial Real Estate (CRE) organizations. The platform delivers scalable, high-performance analytics that transform complex operational data into actionable insights for workplace and real estate teams. Designed for rapid deployment, strong data governance, and enterprise-grade security, the platform integrates data from multiple enterprise systems and provides near real-time visibility into business operations. Our mission is to empower organizations with reliable analytics and intelligent insights that drive better decision-making, operational efficiency, and strategic workplace initiatives. Key Responsibilities • Design, build, and maintain semantic models using Databricks Metric Views (or equivalent semantic layer tooling), ensuring metrics are consistent, reusable, and governed across the organization. • Develop a deep understanding of the underlying data layer — source systems, ingestion pipelines, lakehouse/medallion architecture (bronze/silver/gold) — and how it maps to business-facing metrics. • Translate business requirements into technical specifications, working closely with analysts, product managers, and business stakeholders to define KPIs, dimensions, and metric logic. • Write complex, optimized SQL for data transformation, aggregation, and validation across large-scale datasets. • Build and maintain data pipelines and transformation logic using Python and/or Java. • Ensure data quality, consistency, and performance of semantic models through testing, validation frameworks, and monitoring. • Collaborate with data engineering teams to resolve upstream data issues that affect metric accuracy. • Document metric definitions, data lineage, and semantic model architecture for cross-team consumption. • Participate in code reviews, design discussions, and contribute to engineering best practices. • Troubleshoot and optimize query performance across the semantic and data layers. • Operate within our AI-Driven Development Lifecycle (ADLC), using agentic coding tools (e.g., Claude Code or similar) as the primary means of writing, testing, refactoring, and documenting code — from requirement to deployment. • Design effective prompts, task breakdowns, and review checkpoints to direct agentic tools reliably, while retaining full accountability for code correctness, security, and architecture. • Continuously evaluate and adopt emerging agentic development workflows and tooling to improve engineering velocity and quality. Required Qualifications • 3–6 years of professional software/data engineering experience. • Hands-on experience with Databricks, including Metric Views, Unity Catalog, Delta Lake, and Lakehouse architecture. • Strong proficiency in SQL — including complex joins, window functions, CTEs, query optimization, and performance tuning. • Solid understanding of data modeling concepts (star schema, dimensional modeling, fact/dimension tables, slowly changing dimensions). • Working proficiency in Java and/or Python for building data pipelines, automation, or backend services. • Demonstrated experience translating business requirements into technical/data solutions. • Understanding of semantic layers / metric layers (e.g., dbt Semantic Layer, LookML, Metric Views, or similar) and why they matter for consistent reporting. • Familiarity with version control (Git) and CI/CD practices. • Strong analytical and problem-solving skills, with attention to data accuracy and detail. • Comfortable operating in an agentic, AI-first development environment — hands-on experience with agentic coding tools (e.g., Claude Code, GitHub Copilot, Cursor, or similar) for day-to-day development, testing, and code review. Location: On-site –Bengaluru, KA Scheduled Weekly Hours: 40 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 ap