Senior Data Engineer

About Us

Rho is the all-in-one banking platform for startups and the accountants who support them. With banking set up in minutes, 2% cashback cards, and powerful tools for managing spend, paying bills, and closing the books, Rho helps high-growth startups move fast and stay focused—with support that goes to the ends of the earth to help you win.

About the Role

Our team is looking for a Senior Data Engineer to join our data & analytics team as individual contributors and help build & scale Rho's commercial banking technology.

The Data team builds data products and solutions for either internal stakeholders or customers directly, maintaining a strong data driven culture across the company. This includes building our data infrastructure, ingestion frameworks tools & data models in order to ensure high data integrity.

Technologies we use for data: Python, Snowflake, DBT, PostgreSQL, Kubernetes, Terraform, Prometheus, Google Cloud Services, Looker, PowerBI

Responsibilities :

• Develop and maintain Rho’s main data systems and platforms so they are reliable, scalable, and performant

• Design, maintain and build a robust data warehouse, pipelines and infrastructure that can seamlessly scale with Rho’s rapid growth.

• Implement and manage quality checks, monitoring, and alerts to keep data accurate and quickly handle any issues in pipelines.

• Partner with stakeholders to diagnose and resolve issues with current production data models and deliver enhancements to boost accuracy, speed, and ease of use.

• Collaborate with business intelligence and analytics teams to translate business needs into practical, scalable data solutions.

• Lead initiatives to expand and improve Rho’s company-wide data warehouse and analytics environment.

Requirements:

• 5+ years of experience in data engineering, software engineering, or DevOps.

• Proficiency in workflow orchestrators such as Airflow, Dagster, or Prefect.

• Experience with major data warehouse platforms including Snowflake, Databricks, BigQuery, or in-house HDFS-based solutions.

• Skilled at building data infrastructure using GCP, AWS, or comparable cloud providers.

• Comfortable managing and deploying services on Kubernetes.

• Practical experience with Terraform or Pulumi for automating infrastructure.

• Advanced programming abilities in Python, Go, or Java, along with strong SQL skills.

• Proven experience building and maintaining data pipelines and data models.

• Good communication skills and a team-oriented, collaborative approach.

Nice To Haves:

• Experience building a data platform from the ground up.

• Experience with data modeling approaches such as Inmon, Kimball, Data Vault, Data Mesh, or similar.

• Experience working with streaming data systems.

• Familiarity with Prometheus or other time-series databases used for monitoring.

• Experience with business intelligence (BI) tools such as Looker or Power BI.

What we offer

Our people are our most valuable asset. Base salary may vary depending on relevant experience, skills, geographic location, and business needs.

Benefits:

• Top-notch Private Healthcare Insurance for you and your family members

• Generous PTO policy

• Lunch at work

• Covered costs for parking for onsite staff

• Learning and development budget

• Paternity leave

• Hybrid work environment (with old town Belgrade office)