Senior Data Engineer

TL;DR

Senior Data Engineer (Data Science ML): Build and maintain scalable data pipelines and optimize data platform infrastructure to support analytics, data science, and ML Ops. With an accent on streaming infrastructure, data quality, and collaboration with infrastructure teams. Focus on designing efficient data ingestion, transformation, and delivery processes, ensuring data reliability, and enabling ML model deployment and monitoring.

Location: Hybrid in Vilnius, Lithuania

Salary: 6000–7400 EUR gross per month

Company

hirify.global is a fast-growing European e-commerce startup serving the automotive aftermarket with a mission to improve the online experience for scrapyard owners and car parts sellers internationally.

What you will do

• Build and maintain scalable data pipelines within streaming infrastructure.
• Optimize data storage, processing, and retrieval for analytical and operational needs.
• Ensure data quality and reliability through monitoring, testing, and alerting.
• Collaborate with infrastructure and DevOps teams to scale on-premises data architecture.
• Support ML Ops and data science teams with model deployment and feature engineering.

Requirements

• Location: Hybrid work in Vilnius, Lithuania
• Experience with cloud-based data platforms like Snowflake or Databricks.
• Knowledge of streaming and distributed processing technologies (Apache Kafka, Flink, Spark).
• Proficiency in Python and containerization/orchestration tools (Docker, Kubernetes).
• Experience with data pipeline orchestration tools (Apache Airflow, Dagster).
• Linux administration skills and familiarity with CI/CD pipelines for data workflows.

Nice to have

• Experience scaling infrastructure in fast-paced tech environments.
• Knowledge of DBT, data modeling, and data lakes/storage formats.
• Understanding of ML Ops, Scala, Rust, Go, and data governance best practices.

Culture & Benefits

• Learning budget for personal and professional growth.
• Private health insurance and employee stock option plan.
• Work from anywhere in the world up to 30 days per year.
• Flexible working hours and remote work opportunities.
• Pet-friendly office with gym, chill zones, and snacks.
• Top-notch hardware and software choice (MacOS or Windows).