Senior Data Engineer

Data Engineer | Vilnius, Lithuania

Better data leads to better decisions. Our data engineering function builds and operates the platform that powers performance marketing, analytics, and operational decision-making across our multi-brand DTC portfolio — at scale and growing. We're a small, senior team, and we're expanding it to keep raising the bar.

Our data stack — Airflow, dbt, BigQuery — runs daily and hourly pipelines spanning CRM, payment processors, ad platforms, and fulfillment partners.

In this position, you will:

• Build and own data pipelines that ingest, transform, and serve data across CRM, payment, advertising, and fulfillment sources
• Extend the Airflow stack as new partners come online — API integrations, pagination, chunking, idempotent backfills, partitioning, deduplication
• Orchestrate dbt jobs and manage intraday batch schedules with cross-DAG dependencies
• Improve data quality, alerting, retry logic, and backfill performance across the stack

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• Identify gaps in data collection and delivery, and drive improvements end to end

We expect you to have:

• Strong Python and SQL skills
• Experience with Airflow, dbt, and analytical databases
• Strong agentic engineering skills
• Experience with cloud infrastructure (GCP, AWS, or Azure), Git, and CI/CD
• Comfortable working in an evolving environment with broad ownership
• Proficiency in English and Lithuanian
• Ability to work remotely or on-site at our Vilnius office

You will stand out if you have:

Experience with sub-daily batch schedules, DAG dependency design, and idempotency patterns

Background in DTC, e-commerce, or other data-intensive domains

Experience with marketing data pipelines

What we offer:

• 4,000 – 6,000 EUR gross, based on experience
• Fully remote or Vilnius office
• Apple hardware
• 100 EUR monthly Bolt budget
• Top-tier AI tooling