Data Engineer

Who we are:

We are a small, self-funded team building a booking app for independent salons and tattoo studios. On-call rotates weekly and pays a flat stipend whether or not the pager goes off.

What this job is:

We are replacing a colleague who is moving away. We're looking for another Data Engineer to build and maintain the pipelines that feed our warehouse, dashboards and models. Hybrid: two days in the office in Budapest, the rest from home.

Day to day:

• Respond to pipeline failures and backfill data when needed
• Work with analysts to define metrics and fix discrepancies between reports
• Build batch and streaming pipelines with Airflow, Dagster or Prefect
• Tune slow queries and expensive jobs
• Model data in dbt using staging, intermediate and mart layers
• Stream events through Kafka or Kinesis into the lake and warehouse
• Maintain CI for data code and review pull requests

What we're looking for:

• 3+ years of data engineering, or backend work with data at volume
• Expert SQL, including window functions and query tuning
• Understanding of dimensional modelling and slowly changing dimensions
• Hands-on with an orchestration tool such as Airflow
• Patience with messy source data and the habit of documenting assumptions

Benefits:

• Private medical care
• B2B contract option
• Annual bonus
• Language courses

Only shortlisted candidates will be contacted.

Start: Immediately.

Demo job created on 11jobs for testing and demonstrations. It is not an actual opening at KWF Digital Kft..