**Data Intelligence Engineer**

**Are you driven by building intelligent data systems that shape the future—not just of technology, but of fairness itself?**

Sysarb is looking for a **Data Intelligence Engineer** to architect the data foundation powering Europe's next generation of pay transparency and workplace equity.

This role is for someone who thrives where mathematics meets product. You turn complex ideas into elegant models, scalable pipelines, and actionable insights. You want your work to have real-world impact on millions of employees across Europe.

## **About Sysarb—Using Technology to Create Fair Workplaces Across Europe**

Sysarb is a fast-growing, mission-led SaaS company based in Sweden. Our platform helps organizations comply with the EU Pay Transparency Directive and build fair, equitable compensation structures.

Trusted by companies like Polestar, Klarna, and Carlsberg, we blend advanced analytics, mathematical rigor, and strategic advisory into one unified product experience.

Our mission is simple and powerful:

**Ensure workplaces across Europe become transparent, fair, and grounded in equal value for all people.**

We move fast, think boldly, and build technology that drives real societal change.

## **The Role, Architect the Intelligence Layer of Sysarb's Platform**

As our **Data Intelligence Engineer**, you will shape and own the core data foundation behind all insights, models, and automated decision flows in our platform.

This is not a traditional Data Engineering role.

This is a hybrid of:

- **ML Data Engineering**
- **Applied Data Science & Mathematical Modelling**
- **Product-Focused Insight Architecture**

You will take ideas, statistical concepts, fairness models, predictive frameworks, and turn them into production-ready intelligence used by thousands of HR teams, managers, and employees.

You will set the technical direction for how Sysarb creates, structures, and operationalizes intelligence in the product.

You will report directly to senior leadership and be the expert voice guiding our data and insight strategy.

## **What You Will Lead and Build**

### **1. Mathematical Models & ML Systems in Production**

Design and implement:

- Regression engines and decomposition methods (e.g., Oaxaca-Blinder)
- Fairness-oriented and Compliance-oriented predictive models
- Salary prediction, cost-to-close estimation, and insight scoring
- Explainability layers for transparency and compliance

You turn math and theory into robust, scalable production systems.

### **2. Sysarb's Next-Generation Data Foundation**

Architect and develop:

- Scalable data models and schemas optimized for insight generation
- End-to-end pipelines for clean, reliable, privacy-safe data
- Foundations for how AI agents and LLMs will consume and generate insights
- Data structures enabling high performance across countries, entities, and HRIS ecosystems

You define what "good data" means for Sysarb.

### **3. Insight Engines for AI-First Product Experiences**

Design data structures and pipelines that support:

- Automated analyses
- Intelligent suggestions
- Narrative explanations
- Future agent-based workflows

You shape how customers experience intelligence in the product.

### **4. Technical Leadership Without Personnel Management**

You are the senior expert who:

- Sets standards, direction, and architectural patterns
- Ensures mathematical and engineering rigor
- Provides sharp, structured guidance to Engineering, Product, and Advisory
- Helps Sysarb scale from a high-performing team to an intelligence-driven organization

You lead through expertise, clarity, and ownership.

## **Who You Are**

You are a mathematically strong ML/Data Engineer who loves clarity, structure, and creating intelligence that others can build on. You thrive on pace, precision, and purpose.

You likely recognize yourself in this:

- 5+ years in ML engineering, applied data science, or data-intensive product development
- Proven ability to take models from idea prototype production
- Strong in Python and/or R; statistical modelling is second nature
- Comfortable designing and deploying regression models, predictive models, and fairness frameworks
- Experience with modern data pipelines, transformation tools, and scalable data modelling
- Excellent understanding of data privacy, GDPR, and person-level data principles
- Thrives in high-growth environments where ownership and autonomy matter
- Communicates with clarity and can guide both technical and product peers
- Bonus: experience in HR analytics, compensation modelling, or socio-economic datasets

Above all:

**You build systems that turn raw data into understanding—and understanding into fairer outcomes.**

## **What We Offer**

- A defining role shaping the intelligence and data foundation of a mission-driven SaaS platform
- The chance to build technology that directly improves fairness and equality across Europe
- A high-trust, high-speed, hybrid work environment
- Freedom to influence stack decisions and architecture
- Competitive compensation, wellness benefits, and top-tier equipment
- A culture built on inclusion, transparency, and human value

## **A Note on Inclusion**

Sysarb is committed to building an equal and diverse workplace. We welcome applicants from all backgrounds. We request no photos or age information in applications. Assessments may be part of the process, and applications are handled in line with GDPR.

## **Ready to Lead the Intelligence Behind Europe's Pay Transparency Movement?**

Join us as our **Data Intelligence Engineer** and help build fairer workplaces for millions.