Tech Delivery

Pelico; Miami, Austin, Boston (FL, TX, MA); Hybrid; USD 110,000 - 160,000; Full time

Benefits offered by this job

Equity stake

Competitive salary

Hybrid work

Health plan

Learning budget

Global clients

Team culture

Job summary

Pelico is hiring a data-focused engineer to own end-to-end data onboarding and transformation for enterprise customers. You’ll turn fragmented ERP and operational data into structured inputs for our platform, and work directly with customers to understand their systems and constraints.

You will design robust data pipelines, act as bridge between engineering and product, and ensure production-ready solutions while leveraging AI-assisted tooling to accelerate development and troubleshooting.

Qualifications

• 4-7 years of experience in data engineering, analytics engineering, or technical delivery roles, ideally in customer-facing environments.
• Strong proficiency in SQL and data modeling, with experience working with large, messy real-world datasets.
• Experience building or maintaining ETL/ELT pipelines and working with cloud data environments.
• Comfortable working directly with customers and explaining technical concepts clearly.

Responsibilities

• Own end-to-end data onboarding and transformation for enterprise customers, turning fragmented ERP and operational data into structured inputs for Pelico’s platform.
• Work directly with customers to understand their systems, data models, and constraints, translating that into scalable data solutions.
• Design and build robust data pipelines and transformation logic to support complex manufacturing use cases.
• Act as a bridge between engineering, product, and customer teams to ensure solutions work in production.
• Debug and resolve data quality, integration, and performance issues in live environments.
• Continuously improve internal tools and processes to accelerate deployments and scalability.
• Contribute to shaping Pelico’s data architecture and best practices as we scale globally.
• Apply AI-assisted tooling to accelerate data pipeline development and troubleshooting.

Skills

SQL

Data modeling

ETL/ELT pipelines

Cloud data environments

Customer-facing

Problem-solving

AI tools

Python

Tools

ERP systems

Python

Job description

About Pelico

Traditional industrial manufacturing systems were built for predictability. Supply chains no longer are. Today, real-time data is buried in legacy tools that weren't designed for constant disruption. By the time an issue surfaces, it has already snowballed, sending everyone into firefighting mode. Pelico exists to close the gap between production plans and the daily reality on the factory floor.

We've built the manufacturing orchestration platform trusted by the world's most complex industrial operations : companies like Airbus, Boeing, Safran, Eaton, and Cartier. Our AI connects fragmented supply chain, production, and quality data into a single live operational picture — then puts AI agents to work anticipating disruptions, simulating recovery options, and keeping every team aligned before small problems become expensive ones.

Founded in 2019 and backed by General Catalyst, 83North, and Serena, we've raised $72M and are growing fast — 300% year-over-year revenue growth, deployed in 15+ countries, and supporting factories worldwide. We're headquartered in Paris, with offices in Miami, London and Amsterdam, and we're just getting started.

This is a rare chance to join a company that's redefining an industry that hasn't been disrupted in decades — from the inside.

About the Role

Pelico’s value is only real if our customers’ data works — and that’s where you come in. You’ll sit at the intersection of data, product, and customer operations, owning how complex industrial data is transformed into something usable, reliable, and impactful.

This is not a back-office data role. You’ll work directly with customers, solving messy, real-world data problems and ensuring our platform delivers value in live production environments.

What You'll Do

• Own end-to-end data onboarding and transformation for enterprise customers, turning fragmented ERP and operational data into structured, usable inputs for Pelico’s platform

• Work directly with customers to understand their systems, data models, and operational constraints, translating that into scalable data solutions

• Design and build robust data pipelines and transformation logic to support complex manufacturing use cases

• Act as a key bridge between engineering, product, and customer teams, ensuring what we build actually works in production

• Debug and resolve data quality, integration, and performance issues in live environments — not just in theory

• Continuously improve internal tools, processes, and frameworks to make deployments faster, more scalable, and less manual over time

• Contribute to shaping Pelico’s data architecture and best practices as we scale globally

• Apply AI-assisted tooling to accelerate data pipeline development, transformation logic, and troubleshooting

About You

• 4-7 years of experience in data engineering, analytics engineering, or technical delivery roles, ideally in customer-facing environments

• Strong proficiency in SQL and data modeling, with experience working with large, messy, real-world datasets

• Experience building or maintaining ETL/ELT pipelines and working with cloud data environments

• Comfortable working directly with customers — you can explain technical concepts clearly and navigate ambiguous, unstructured problems

• Strong problem-solving mindset — you don't just identify issues, you drive them to resolution

• You operate well in fast-moving environments where structure is evolving and priorities shift

• You actively embrace AI tools as part of how you work — curious about what’s possible and quick to adopt new ways of working smarter and faster.

• Hands-on experience with AI-assisted workflows — whether for writing, research, analysis, coding, or productivity — and a genuine interest in staying at the frontier of what these tools can do.

Nice to have:

• Experience working with ERP systems (SAP, Oracle, etc.) or manufacturing/supply chain data

• Background in industrial, manufacturing, or logistics environments

• Experience in a startup or high-growth environment

• Exposure to Python or other scripting languages

Why Pelico

We're building something genuinely hard and genuinely important. Here's what that comes with:

• Meaningful equity — you're building this with us, so you'll own a piece of it

• Competitive salary benchmarked to your market

• Flexible, hybrid work model — we care about output, not face time

• Health, dental, and vision coverage

• Learning & development budget — we invest in people who invest in themselves

• Opportunity to work with some of the world's most complex and fascinating manufacturing operations

• A team that takes the work seriously without taking themselves too seriously

Pelico is an equal opportunity employer. We're committed to building a diverse team and an inclusive environment where everyone can do their best work.