Senior Data Engineer

Job not on LinkedIn

🔥 0 minutes ago

🇲🇽 Mexico – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 25%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Jones Lang LaSalle Americas, Inc.

WebsiteLinkedInAll Job Openings

10,000+ employees

🏠 Real Estate

🤝 B2B

💼 Consulting

Real Estate • B2B • Consulting

Jones Lang LaSalle Americas, Inc. is a company that provides commercial real estate services for corporations and investors worldwide. Their focus is on helping clients save money, increase productivity, and improve sustainability in real estate operations.

📋 Description

• Lead the design and rollout of data contracts defining schema, quality, and ownership expectations between data producers and consumers • Own the end-to-end build of Delta Sharing capabilities for secure, governed, cross-team and cross-organization data access • Build automated validation and quality checks enforcing contract compliance at ingestion and consumption points • Drive adoption of data governance and quality standards across engineering teams • Design shared, versioned data models and access patterns balancing domain-specific needs with platform-wide consistency • Integrate data contract and sharing capabilities into JLL's Enterprise Data Platform and existing ingestion, storage, and API frameworks • Design and build services and interfaces enabling downstream teams to discover, request, and consume shared datasets independently • Mentor junior and mid-level data engineers and act as the initial subject matter expert for the data consumption team • Build complex automated test suites validating contract enforcement, data lineage, and sharing reliability at scale • Partner with data producers, platform architects, and business stakeholders to translate consumption needs into contract and sharing requirements • Produce technical documentation and onboarding materials for adoption of data contracts and Delta Sharing

🎯 Requirements

• 5+ years of data engineering experience, including at least one large-scale or complex implementation delivered end-to-end • Intermediate-to-advanced Python and SQL, with hands-on experience designing and optimizing data pipelines in a cloud environment (Azure preferred) • Direct experience with data contracts, schema governance, or data quality enforcement in a production data platform • Experience with Delta Lake, Delta Sharing, or comparable data-sharing / lakehouse technologies • Strong PySpark experience, including performance optimization and troubleshooting via Spark UI • Experience designing and building API services for data access or integration • Demonstrated experience mentoring junior engineers and acting as a technical point of contact within a team • Comfort working across scrum teams and collaborating with both engineering and business stakeholders • Preferred: Experience with Databricks, Unity Catalog, or similar data catalog and governance tooling • Preferred: Familiarity with data mesh principles and federated data ownership models • Preferred: Experience with Azure Data Factory, Event Hubs, or other Azure-native data integration services • Preferred: Background in commercial real estate, enterprise data platforms, or B2B SaaS data products • Preferred: Experience contributing to CI/CD pipelines for data engineering workflows