Data Engineering Specialist - Source AI

Your Impact

You will drive day‑to‑day client implementation work streams for Source AI deployments, including requirements tracking, issue management, data/input coordination, and execution follow‑through. You will also support configuration of the product for each client context, including data setup, workflow configuration, output validation, and testing support. You'll partner closely with the senior technical lead to troubleshoot deployment issues and maintain pace across short implementation cycles.

You will work in a client‑facing, delivery and technical implementation role. You will drive day‑to‑day deployment execution, translate business needs into technical tasks, support configuration and testing, and keep delivery moving across multiple work streams. Our Source AI team uses generative AI to analyze vast amounts of data, identify patterns, and create actionable insights within Procurement. Our team helps category managers unlock new levels of efficiency, innovation, and cost savings in their procurement and sourcing with an innovative and tailored solution.

Driving lasting impact and building long‑term capabilities with our clients is not easy work. You are the kind of person who thrives in a high‑performance/high‑reward culture — doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward. In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible.

Your colleagues at all levels will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won't find anywhere else. When you join us, you will have:

• Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast‑paced learning experience, owning your journey.
• A voice that matters: From day one, we value your ideas and contributions. You'll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
• Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm's diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you'll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
• World‑class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well‑being for you and your family.

• Snow Pro certification, or equivalent deep hands‑on Snowflake experience, is preferred.
• 5+ years' experience in data engineering, including Snowflake, SQL (ANSI / Snowflake dialect), Python, APIs, data pipelines, testing, and debugging, designing and maintaining end‑to‑end data pipelines using Snowflake and cloud storage such as Amazon S3. Procurement, sourcing, spend analytics, or operations domain familiarity is a plus.
• Expertise with core Snowflake capabilities such as Warehouses, Snowpipe, Streams, Tasks, and Secure Views.
• Experience configuring and deploying analytics, data, or AI‑enabled products in client environments, ideally with complex data and workflow requirements.
• Ability to define scalable implementation patterns across clients while balancing customization with reuse.
• Strong problem‑solving across data quality, integration, workflow, and operational reliability issues.
• Working knowledge of solution architecture, SDLC, secure and reliable deployment practices, and quality assurance.
• Ability to lead and mentor engineers…