--- title: "Senior Data Engineer" company: "Rho" company_url: "https://www.remjobs.works/companies/rho" url: "https://www.remjobs.works/job/rho-senior-data-engineer-1a1e471a-b309-469a-a4d2-84863094ba4a" apply_url: "https://jobs.ashbyhq.com/rho/245eeb7f-62f8-4fa6-9f7b-3c4050a1ef7b" workplace: hybrid location: "Belgrade" employment_type: full-time seniority: senior role: data region: europe skills: ["airflow", "aws", "databricks", "dbt", "gcp", "java", "kubernetes", "postgres", "python", "snowflake", "sql", "terraform"] date_posted: 2026-08-28T15:52:50.333Z first_seen_by_remjobs: 2026-09-04T17:44:06.481Z --- # Senior Data Engineer **Rho** · Belgrade Apply: https://jobs.ashbyhq.com/rho/245eeb7f-62f8-4fa6-9f7b-3c4050a1ef7b ## About Rho Business banking that moves at startup speed and scales as you grow. Open accounts quickly, earn yield on idle cash, and manage spend in one place. ## About the role **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) --- Source: Rho's own career page, read by RemJobs. Canonical HTML version: https://www.remjobs.works/job/rho-senior-data-engineer-1a1e471a-b309-469a-a4d2-84863094ba4a