Staff Engineer - Data
Vilnius
Data & Analytics – Data Engineering /
Hybrid
WHO WE ARE
Ovoko is transforming Europe’s €25B+ used car parts market - a massive, fragmented industry still largely offline. We connect 6,000+ scrapyard owners, car parts sellers and dismantlers with millions of buyers through our marketplace, SaaS and logistics platform, making it effortless to trade parts across borders. With over 35 million parts listed, we’ve grown into one of Europe’s fastest-scaling e-commerce companies, but the real opportunity lies ahead, as we build a real category-defining platform worldwide.
ABOUT THE ROLE
Following our €20M Series B and continued triple-digit YoY growth, Ovoko is moving toward a truly data-driven organization, where Data & Analytics are central to product, operational, and strategic decisions.
As part of this journey, we are seeking an experienced Staff Engineer with a strong Data Engineering background to help build, evolve, and scale our Data Platform, supporting the growing needs of the business across Analytics, Data Science, ML Ops, and Product development.
You’ll work closely with Data Engineering, Infrastructure, and Product teams to design shared platform capabilities with a strong focus on reliability, self-service data workflows, infrastructure automation, observability, cost efficiency, and long-term architectural flexibility (including avoiding vendor lock-in).
IN THIS ROLE, YOU WILL
- 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.
WHAT WE’RE LOOKING FOR
- 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.
NICE TO HAVE
- Deep experience with Parquet and Apache Iceberg, including metadata optimization, catalog integration, schema evolution, and large-scale table operations.
- Experience designing event-driven systems with clear delivery semantics, replay strategies, and correctness guarantees across batch and streaming.
- Strong experience building production-grade services in Go, Scala, or Rust.
- Experience with data modeling and transformations (e.g., dbt), emphasizing shared ownership, data quality, and long-term maintainability.
- Exposure to multimodal data processing (tabular, images, text, etc.), including specific data formats such as vector databases and data embeddings.
- Experience applying data governance, security, and compliance in large-scale platforms (ISO 27001/27701, SOC 2, GDPR).
SALARY
The offered salary for this position is from 7400 - 9400 EUR (gross). Please keep in mind that we are also open to discussing your salary expectations based on your competencies and experience.
PERKS AND 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
