Sr. Business Intelligence Engineer

Brady Corporation; Milwaukee (WI); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Comprehensive medical/dental/vision

401(k) with company match

Paid time off and holidays

Employee Resource Groups

Education reimbursement

Job summary

Brady Corporation is seeking a Senior Business Intelligence Engineer to blend analytics engineering with data application development. The role focuses on turning analytics and enterprise data into production-grade tools, bridging cloud data warehouses with backend services, and deploying automated integrations to business applications.

You will work in sprints to design scalable data pipelines, implement dynamic query engines, and productionize predictive models, all while maintaining robust

Qualifications

• 3–5+ years of analytics engineering, data engineering, or software development building data-heavy software applications or automated data engines.
• Strong proficiency in Python software design principles (modular code design, API development, backend logic structuring, and asynchronous workflow handling).
• Expert-level SQL skills; experience structuring multi-layer data pipelines, engineering feature sets, and tuning query execution in cloud data warehouses.

Responsibilities

• Data Application & Backend Engineering: Design, write, and maintain Python-based backend logic and RESTful APIs for interactive tools.
• Architecture & Dynamic Query Compilation: Build multi-layered segmentation logic in cloud platforms and design programmatic SQL generation engines.
• Third-Party Integrations & Data Delivery: Develop automated data delivery connectors via REST APIs, SDKs, and secure file transfer protocols.

Skills

Python

SQL

REST APIs

Data pipelines

Cloud data platforms

Education

Bachelor's degree in CS/SE/Math

Tools

Airflow

Git

Job description

What We Need

We are seeking a driven Senior Business Intelligence Engineer for our team. At Brady, this role functions as a hybrid Analytics Engineer and Data Application Developer, transforming analytics and enterprise data into production-grade tools. You will bridge cloud data warehouses and functional software by building Python backend services, dynamic query engines, and automated API integrations to stream analytics, dynamic segmentation, and predictive models to business applications and external platforms. Operating on a two-week sprint cadence, our team uses a 60/20/20 capacity model (Planned Work / Ad-Hoc / Protected Tech Debt Buffer) to safeguard your time for writing scalable code, maintaining backend services, and building data pipelines without operational overload.

What You'll Be Doing

• Data Application & Backend Engineering: Design, write, and maintain Python-based backend logic and RESTful APIs that turn data models and predictive rules into interactive software tools.
• Architecture & Dynamic Query Compilation: Construct and scale the Account 360 Medallion Architecture in cloud data platforms. Design programmatic SQL generation engines and asynchronous processing workflows to execute complex, multi-layered segmentation logic.
• Third-Party Integrations & Data Delivery: Develop and maintain automated data delivery connectors using REST APIs, native SDKs, and secure file transfer protocols to keep enterprise systems and external platforms continuously synchronized.
• Productionizing Analytical & Predictive Models: Work closely with statistical concepts to translate predictive models, scoring systems, and segmentation algorithms into performant, automated backend logic.
• Code Refactoring & System Health: Manage your workload within our 10-point sprint capacity model, utilizing your protected 20% tech debt buffer to continuously refactor codebases, optimize database execution performance, and maintain application architecture.
• Cross-Training & Collaboration: Actively participate in our cross-training framework, dedicating 4 hours per sprint to co-piloting engineering tasks and analytical techniques with peers.

What You Will Need To Be Successful

• Bachelor’s degree in Computer Science, Software Engineering, Math, Statistics, Data Science, or a quantitative technical field.
• 3–5+ years of experience in analytics engineering, data engineering, or software development building data-heavy software applications or automated data engines.
• Strong proficiency in Python software design principles (modular code design, API development, backend logic structuring, and asynchronous workflow handling).
• Expert-level SQL skills; experience structuring multi-layer data pipelines, engineering feature sets, and tuning query execution in cloud data warehouses.
• Solid foundation in applied statistical methods (e.g., regression, clustering, segmentation) and the ability to operationalize model outputs into actionable software triggers.
• Proven experience integrating third-party REST APIs, managing modern authentication flows (OAuth, Service Accounts), and orchestrating automated batch data transfers.
• Active humility, creative problem-solving skills, and strong communication skills to explain technical application design to non-technical stakeholders.

About Us

Who we are:

Brady Corporation is a global industrial technology leader dedicated to making workplaces safer, more productive, and more connected. Backed by a 110+ year legacy of reliability and innovation, we have entered an exciting era of transformation and growth, powered by more than 10,000 team members serving customers across 40+ countries. Following our acquisition of Honeywell's Productivity Solutions and Services business in August 2026, Brady brings together trusted leadership in safety, materials science, and identification with advanced mobile computing, scanning, and automation.

We Help Organizations Make Work Safer, More Productive, And More Connected By Transforming Everyday Critical Information Into Actionable Intelligence. Our End-to-end Platform Unites Two Powerful Pillars

• Identification Solutions: High-performance labels, safety signs, engineered materials, and rugged industrial printing systems.
• Intelligent Productivity Solutions: Industry-leading mobile computers, barcode/RFID scanners, specialized software, voice automation, and workflow services.

From aerospace, healthcare, and laboratories to manufacturing plants, retail, data centers, and global transportation and logistics hubs, we empower customers to identify, protect, track, and optimize the people, assets, and processes that keep the world running.

Why Work At Brady

A career at Brady means working for a global company that has thrived for over 100 years, and whose innovative spirit drives our future growth. Brady offers competitive pay and great benefits, supported by a culture that encourages collaboration and innovation. We strive to foster an inclusive workplace where diverse talent can learn, grow, and succeed. And with deeply rooted values, no matter where you work at Brady, you'll feel connected to the community through our charitable contributions and opportunities to give back.

Our headquarters are in Milwaukee, Wisconsin, but we have more than 70 locations globally, giving our employees the opportunity to work with colleagues around the world.

Our Benefits

• Comprehensive insurance coverage starting on your first day of employment, including medical, dental, and vision
• Generous 401(k) with company match
• Paid time off and holidays
• Opportunity to participate in incentive programs for all full-time employees
• Family planning benefits including paid parental leave, fertility coverage, adoption and surrogacy assistance
• Education reimbursement opportunities
• Scholarship program for children of Brady employees
• A variety of Employee Resource Groups to provide you with unique networking, development, and volunteer opportunities
• Employee Assistance Program and related wellness programs (mental and behavioral health, family counseling, financial management)
• Dress-for-your-day dress code
• Charitable contributions matched through Brady's Matching Gift program