Senior Data Engineer

Stack

Responsibilities

• ▹Design, build and own data products: reliable, scalable, well-documented pipelines and datasets that other teams can discover, trust and build on directly
• ▹Apply strong software engineering practices (clean code, testing, version control, CI/CD) to data products and ML systems, with the same rigor as production software
• ▹Build horizontal, ML-driven data products, such as an OCR pipeline for document processing, a transaction coding suggestion system and RAG/agentic tools, designed for reuse across multiple teams
• ▹Define and uphold data product quality: implement quality checks, monitoring, alerts and SLAs
• ▹Partner directly with the stakeholders who consume your data products to understand their needs, gather feedback and iterate
• ▹Collaborate with business intelligence and analytics teams to turn business needs into data products that are easy to find, understand and self-serve from
• ▹Lead initiatives to grow the catalog of data products and improve the platform that supports them

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 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 and Go, along with strong SQL skills (Java experience also considered)
• ▹Proven experience building, owning and iterating on data products or data pipelines based on consumer feedback
• ▹Experience designing systems for reuse across multiple teams
• ▹Good communication skills and a team-oriented, collaborative approach

Nice to have

• ▹Experience building a data platform or data product suite from the ground up
• ▹Experience integrating or deploying ML models into production systems (e.g. classification, suggestion or extraction models)
• ▹Experience with RAG systems and vector databases
• ▹Familiarity with ML infrastructure tooling such as MLflow
• ▹Experience building or deploying agents
• ▹Experience with data modeling and data product approaches such as Data Mesh, Kimball, Inmon, Data Vault or similar
• ▹Experience working with streaming data systems
• ▹Familiarity with Prometheus or other time-series databases used for monitoring
• ▹Experience with business intelligence tools such as Omni or Power BI

Soft skills

What we offer

• ▹Top-notch private healthcare insurance for you and your family members
• ▹Generous PTO policy
• ▹Lunch at work
• ▹Covered parking costs for onsite staff
• ▹Learning and development budget
• ▹Paternity leave
• ▹Hybrid work environment (with an office in Belgrade's old town)

About the company

Rho is the modern banking platform built for startups: open accounts in minutes, issue cards, manage expenses, pay bills and close the books in one connected platform backed by real human support.