Data Engineer - Kosovo

About Radix

Radix is a fast-growing SaaS company transforming how the multifamily industry uses data. Our values-Curiosity, Resilience, Impact, Courage, and Responsibility-guide how we work, grow, and lead. At Radix, data is our superpower: from benchmarking rents to powering predictive analytics, everything we build starts with clean, reliable, and accessible data.

We believe exceptional people build exceptional companies-and our Data Engineer will play a key role in scaling the platforms and pipelines that turn raw information into industry-shaping intelligence.

This role is based onsite in our Prishtina, Kosovo office.

Your Impact

As a Data Engineer at Radix, you'll design, build, and optimize the infrastructure that powers our AI/ML models, analytics dashboards, and customer-facing products. You'll work closely with data scientists, product managers, and engineers to ensure the right data shows up at the right time-securely, accurately, and efficiently. Your work will directly shape how thousands of multifamily professionals discover insights and make data-driven decisions.

Key Outcomes

• Reliable Data Pipelines: Deliver highly available, low-latency ETL/ELT pipelines to ingest and transform high-volume data

• Scalable Architecture: Build cloud-native systems (e.g., CDC, streaming, lakehouse) that scale with our business

• Data Quality & Governance: Implement automated testing, monitoring, and alerting to reduce manual fixes

• Cross-Team Enablement: Provide self-service data access to accelerate analytics, experimentation, and modeling

Key Responsibilities

• Design and maintain ETL/ELT workflows using Python, SQL, and orchestration tools (Airflow, Prefect, or Dagster)
• Build and optimize data lakes/warehouses (Snowflake, BigQuery, Redshift, etc.) following lakehouse and cost-efficiency principles
• Ingest data from APIs, files, and third-party feeds using scalable, maintainable pipelines
• Process real-time data with Kafka, Kinesis, or Pub/Sub for event-driven features
• Build monitoring and alerting into pipelines; champion data quality and governance
• Partner with data scientists to deliver features; collaborate with engineers to expose data via APIs
• Coordinate with DevOps to support CI/CD and infrastructure-as-code (Terraform, Pulumi)
• Enforce SOC 2-compliant data security and privacy standards
• Troubleshoot issues, track performance metrics, and contribute to continuous improvement

What You Bring

Experience

• 4–6 years in data engineering or backend engineering within cloud-based environments
• Proven experience designing, building, and maintaining production-grade data pipelines that support analytics or machine learning workloads
• Comfortable working independently and partnering cross-functionally in a fast-paced, iterative environment

Skills

• Strong Python and advanced SQL; comfortable with Spark
• Hands-on experience with orchestration tools (Airflow, Prefect, or Dagster)
• Experience with dbt or version-controlled ELT frameworks
• Depth in at least one cloud platform (AWS, GCP, or Azure); familiarity with Docker/Kubernetes
• Understanding of data modeling, performance tuning, and cloud cost optimization
• Excellent collaboration and communication skills

Preferred

• Experience supporting AI/ML pipelines or MLOps tools (e.g., Feature Store, MLflow)
• Exposure to property tech, real estate, or asset-heavy industries
• Familiarity with Data Mesh or domain-oriented data products

Personal Attributes

• Curiosity: You ask "why" and dive deep into learning new tools and systems.

• Resilience: You build systems that stay stable-and recover fast when they don't.

• Impact-Driven: You focus on delivering business value, not just writing code.

• Courage: You advocate for good architecture, even when it's hard.

• Responsibility: You own what you build-end to end.

How We Work at Radix

We move fast, work smart, and trust each other. We don't micromanage-we empower. Our values show up in every sprint, stand-up, and code review. You'll have the autonomy to innovate and the backing of a team that cares deeply about craft, impact, and growth.