Rho · Belgrade
Data & AIEngineeringRemoteFullTimeposted 10d ago
About Us
Rho is the modern banking platform built for the AI era. Startups and growth-stage companies can open accounts in minutes, issue cards, manage expenses, pay bills, and close the books – all in one connected platform backed by real human support.
About the Role
Our team is looking for a Senior Data Engineer to join our data products team and help build & scale Rho's commercial banking technology.
The Data team builds data products for internal stakeholders and customers directly, maintaining a strong data driven culture across the company. This means treating data, pipelines, and ML systems as products in their own right: owned, versioned, documented, and built for other teams to discover and consume, not just infrastructure that sits behind the scenes. A key part of this role is building horizontal data products: reusable, ML-powered systems like an internal OCR pipeline, a transaction coding suggestion engine, and RAG-based and agentic systems that leverage our data to automate and augment internal workflows, that serve multiple teams and use cases across the company.
Technologies we use for data: Python, Go, Snowflake, DBT, PostgreSQL, Kubernetes, Terraform, Prometheus, Google Cloud Services, Omni, Hex
The ideal candidate is a strong software and data engineer with good taste & judgement, someone who knows what good looks like, and subscribes to a “strong opinions, weakly held” mindset.
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, treating them with the same rigor as production software, while moving fast in AI-first world
Build horizontal, ML-driven data products, such as our OCR pipeline for document processing, our transaction coding suggestion system, and RAG/agentic tools, designed to be reused across multiple teams rather than built for a single use case
Define and uphold data product quality: implement quality checks, monitoring, alerts, and SLAs so consumers of a data product can rely on it the way they'd rely on any well-run internal API
Partner directly with the stakeholders who consume your data products to understand their needs, gather feedback, and iterate, treating them as customers rather than downstream requesters
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 Rho's catalog of data products and improve the platform that supports them, expanding what other teams can build on top of
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 are integral to this role, 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, not just building infrastructure in isolation
Experience designing systems for reuse across multiple teams
Good communication skills and a team-oriented, collaborative approach, comfortable working directly with the people who consume what you build
Nice To Haves:
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 (Retrieval-Augmented Generation) 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 (BI) tools such as Omni
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)