[Hiring] Commercial Performance Lead Developer @JLL

Role Description

The Lead Developer transforms raw and unstructured data into polished, leadership-ready output — and owns that path end to end. You'll be the senior technical developer who ingests data into our cloud environment, wrangles complicated and often messy source data into shape, models it, and builds it into Power BI products that leadership can act on with confidence.

You'll join a newly formed performance analysis team made up of seasoned professionals who work directly with our stakeholders and end users to derive actionable, data-led insights to make positive impacts on client account performance. The leadership team owns the business problem and the stakeholder relationships and you’ll provide the necessary deep technical firepower.

This is a hands-on individual contributor role. Seniority here means autonomy and judgment on hard problems — you can take an ambiguous ask and difficult data and return something trustworthy and finished, with minimal hand-holding. The right person won't stay boxed into pure execution — as trust builds, so will your ownership of how we do this work and where it goes.

What You'll Do

• Ingest data from a range of source systems into our cloud repository, building reliable, repeatable pipelines.
• Transform, clean, and model complex and imperfect data using Databricks.
• Design and build robust data models that hold up as sources and requirements change.
• Develop polished, intuitive Power BI reports and dashboards that turn that data into clear answers for a leadership audience.
• Own quality end to end — rigorous QA, data validation, and attention to detail so that every output is accurate, consistent, and defensible.
• Carry work through the full technical lifecycle — from raw source to published, documented, leadership-ready product — largely independently.
• Partner closely with the Commercial Performance Directors to understand what each piece of work is really for, and translate that into the right technical solution.

Qualifications

• Strong hands-on fluency with Databricks for data processing, transformation, and analytics.
• Demonstrated experience ingesting data within an Azure cloud environment and building dependable data pipelines.
• Excellent data transformation and manipulation skills.
• Exceptional QA and attention to detail — this is a defining trait of the role, not a nice-to-have.
• Tolerance for ambiguity - ability to take a vague ask and hard data through to a finished output independently.
• Strong SQL for querying and transformation; Python for data processing and analytics.
• AI fluency — familiarity with building MCP servers, connectors, and integrations, ideally in code.

Requirements

• Workflow automation (e.g. Power Automate).
• Version control and DevOps practices (e.g. Git, Azure DevOps).
• Degree in a data, analytics, computer science, or related field — 5+ years equivalent hands-on experience.

Benefits

• 401(k) plan with matching company contributions.
• Comprehensive Medical, Dental & Vision Care.
• Paid parental leave at 100% of salary.
• Paid Time Off and Company Holidays.
• Early access to earned wages through Daily Pay.

Company Description

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.