Senior Data Engineer

We are looking for a Senior Data Engineer to take ownership of our data infrastructure, with a strong focus on maintenance, reliability, and incremental improvements across existing and new data projects.

The role is fully remote within Romania. You must speak Romanian and English (C1).

This is a full-time role, with ongoing responsibilities for pipeline maintenance and close integration into the core product and data team. You will inherit a mature data stack and be responsible for keeping it secure, scalable, and well-governed, while also contributing to new initiatives as they arise.

Key Responsibilities

Data Platform Ownership & Maintenance

• Own the day-to-day reliability and maintenance of data pipelines and the analytics stack.
• Ensure data freshness, correctness, and availability for downstream consumers.
• Proactively identify and resolve pipeline failures, performance issues, and data quality risks.

Snowflake & Data Warehouse Management

• Own ingestion workflows (e.g. AWS S3 to Snowflake), including copy commands, transformations, and monitoring.
• Support cost optimization and performance tuning within the warehouse.

Transformation & Modeling Layer

• Maintain and extend dbt models, including:
• Modeling standards and best practices
• Testing and validation logic
• Deployment workflows
• Own the semantic layer (Cube):
• Maintain metric definitions used by APIs and downstream tools
• Manage version control and deployments via GitHub
• Ensure consistency between warehouse models and exposed metrics

External Data & Tooling

• Own orchestration and configuration of external data tools (e.g. Fivetran, Hex):
• Connector setup and monitoring
• Sync schedules and dependencies
• Impact analysis of schema or source changes
• Act as technical owner for tool integrations, including API keys, service accounts, and vendor interactions.

Analytics & Product Data Support

• Support and maintain Metabase:
• Ownership of key collections and saved queries
• Data model alignment between Snowflake and end-user dashboards
• Collaborate on product analytics:
• Review and maintain Amplitude instrumentation plans
• Ensure event definitions are consistent and correctly synced into the warehouse

AI-Augmented Engineering

• Use LLMs and AI coding assistants as standard tools in your daily development workflow.
• Design, build, and maintain agentic workflows that automate repetitive data engineering tasks such as pipeline monitoring, anomaly detection, schema change analysis, and documentation generation.
• Evaluate and integrate new AI-powered tools into the data stack where they improve velocity, quality, or reliability.

Collaboration & Documentation

• Work closely with product, analytics, and engineering teams as a fully integrated team member.
• Maintain clear documentation for pipelines, models, permissions, and operational processes.
• Provide guidance and best practices to analysts and stakeholders consuming data.

Required Experience & Skills

• 5+ years of experience as a Data Engineer, with senior-level ownership of production data systems
• Strong hands-on experience with:
• Snowflake (performance, security, cost awareness)
• dbt (modeling, testing, deployments)
• Cloud data ingestion patterns (especially AWS S3 → warehouse)
• Experience with modern analytics stacks and tools such as:
• Fivetran or similar ELT tools
• Semantic layers (e.g. Cube or equivalent)
• BI tools (Metabase, Looker, etc.)
• Demonstrated experience using LLMs as part of a daily engineering workflow - not just casual use, but integrated into how you build, test, and ship.
• Solid understanding of data modeling, metrics governance, and analytics enablement
• Comfortable working in Git-based workflows and production environments
• Strong ownership mindset and ability to work independently in a part-time setup

Nice to Have

• Experience with product analytics platforms (e.g. Amplitude)
• Familiarity with cost optimization and warehouse scaling strategies

Suitable candidates will be contacted within 10 days or less. We run a fast and lean recruitment process.