Hybrid Staff Engineer – Data

at Ovoko \ RRR.LT

• Job title: Staff Engineer – Data
• Job type: Full Time
• Experience level: Lead
• Salary: €7,400 - €9,400 per month
• Degree requirement: No Education Requirement
• Tech skills: AWS, Cloud, Google Cloud Platform, Kafka, Kubernetes, Spark
• Location requirements: Hybrid, Vilnius, Lithuania

About the role

• Staff Engineer for Data at Ovoko, building data platform capabilities for scaling analytics and product development in the used car parts market.

Responsibilities

• Own and evolve core parts of the Data Platform, covering batch and streaming ingestion, processing, and delivery across product and analytics use cases.
• Drive architectural decisions for a modern, vendor-agnostic Data Platform, clearly separating ingestion, storage, compute, and serving layers.
• Act as a technical partner across teams (product, infrastructure, analytics), shaping scalable data and platform practices company-wide.
• Solve complex, cross-domain challenges at the intersection of software engineering, infrastructure, and data systems.
• Define and maintain platform-wide standards and guardrails (observability, data quality, schema evolution, metadata, access control).
• Act as a technical authority for high-impact platform and data decisions beyond a single team’s scope.
• Balance long-term platform strategy with short-term product and business needs through pragmatic trade-offs.

Requirements

• Strong hands-on experience building and operating large-scale data platforms, with solid data engineering fundamentals and real-world scalability experience.
• Hands-on experience running production-grade streaming systems (Kafka, Flink, Spark Streaming), including capacity planning, partitioning, and incident response.
• Experience designing and operating distributed services as part of a data platform, applying strong software engineering practices beyond data pipelines.
• Hands-on experience operating data platform infrastructure across Kubernetes (on-prem) and cloud environments (AWS, GCP, Snowflake), with a strong automation mindset.
• Experience owning ML workloads (feature store, model (re)training, model deployment, ML Ops, and monitoring) across batch and streaming systems.

Benefits

• Learning budget for your personal and professional growth
• Private health insurance
• Employee stock option plan
• Work from anywhere in the world for up to 30 days per year
• Close collaboration with ambitious colleagues & a real opportunity to shape the “big picture”
• Top-notch hardware and software (MacOS or Windows to choose from)
• Flexible working hours & remote work opportunities
• Pet-friendly office with collaborative spaces, chill zones, our own gym & a kitchen full of snacks and drinks