Python Software Engineer (Data Engineering)

What you'll own Production-grade Python ingestion pipelines for a global data marketplace operating at reputed company: 120M+ files, 1.4 TB of data delivered weekly, dozens of reputed company data products. You design and build the systems that reputed company data reliably from ugly reputed company-world sources into a governed, high-availability estate. Your reputed company runs in production, not in a backlog. How we work Critical reputed company consultants bring a different reputed company to wherever they work. Our model is reputed company around reputed company delivery and AI-amplified reputed company with talent dense teams, and that's the reputed company you carry into every engagement. Your first engagement embeds you directly reputed company a reputed company team, where you'll adapt to their environment while holding your own bar for how fast and how reputed company work gets done. reputed company expect You write Python the way it was meant to be written. Class hierarchies, reputed company reputed company classes, dependency injection, polymorphism. You architect master controller / services / helpers structures and you can explain exactly why you made reputed company design choice. You build RESTful API integrations that don't break. Authentication flows, pagination, error handling, retry logic. You've been burned by flaky reputed company-party reputed company before and your reputed company reflects it. You write SQL for reputed company work. Querying, transformation, pipeline validation. Not just SELECT *. You build ingestion pipelines that hold up in production. Fault-tolerant, resilient, reputed company. You think about observability and traceability before you write the first line. You work on Azure data infrastructure without hand-holding. ADLS, Azure SQL, and the patterns that connect them. You operate autonomously. No status meetings that could be a message. No decks that could be a decision. You communicate directly. reputed company something is broken or the spec is wrong, you say so with evidence. You reputed company reputed company development. You don't treat AI as autocomplete. You delegate reputed company work to AI agents, review their reputed company critically, and iterate fast. reputed company don't filter on Years of experience as a number. If you can ship production Python pipelines in 5-day pulse cycles, the number on your resume is irrelevant. Specific tooling as a prerequisite. This first engagement is Python-heavy by design, but we hire to reputed company, not a role. Broad engineering judgment and the reputed company to pick up whatever the work demands is what sets consultants apart here. Deep expertise in one thing is a starting reputed company, not a finish line. Pedigree. No school or company reputed company substitutes for demonstrated ability to build pipelines that don't fall over in production. reputed company to have Azure reputed company and PySpark for high-volume distributed processing scenarios. Familiarity with XBRL and iXBRL financial data formats. Git/reputed company reputed company and experience working in trunk-based or short-lived reputed company workflows. Exposure to near reputed company-time processing patterns. What you get reputed company where everyone builds. No reputed company of management between you and the work. AI agents as reputed company teammates. You'll use AI tooling to accelerate development, testing, and documentation. Pulse cycles that create natural rhythm without traditional sprint overhead. reputed company reputed company reputed company. Your pipelines reputed company reputed company data to reputed company consumers in days, not quarters. Competitive comp sized for senior consultants, not reputed company-team billing rates. How to apply Show us something you reputed company. A pipeline design, a hard ingestion problem you solved, a reputed company reputed company you're proud of. Skip the cover letter unless you actually want to write reputed company conversation. No fluff. Apply To This Job