Principal Data Engineer

Annual releases gave way to two-week sprints years ago, and the platform now handles over 200 million API calls a day. Marblebound Labs employs 700 people across engineering hubs in Berlin and three other locations, building ERP software for mid-market manufacturers. Most engineers work remotely and come into the office one week a quarter for planning.

This role opened up after a team member moved internally. This hire will help replace a set of fragile nightly scripts with tested, monitored pipelines. You can work from home anywhere in Germany. We have no office requirement. Normal working hours, Monday to Friday.

What you'll do:

• Tune slow queries and expensive jobs
• Write data quality tests with dbt or Great Expectations and alert on failures
• Ingest data from APIs, SaaS tools and databases with Fivetran, Airbyte or custom Python
• Model data in dbt using staging, intermediate and mart layers
• Build batch and streaming pipelines with Airflow, Dagster or Prefect
• Work with analysts to define metrics and fix discrepancies between reports
• Handle PII according to retention, masking and access policies
• Process large datasets with Spark on Databricks or EMR

Who you are:

• Expert SQL, including window functions and query tuning
• Understanding of dimensional modelling and slowly changing dimensions
• Working knowledge of AWS, GCP or Azure data services

Benefits:

€112,000 - €130,000/year

• Up to 3 days of home office per week

Please mention your notice period and expected salary.

Duration: 12 months. Start: Within 30 days.

Demo job created on 11jobs for testing and demonstrations. It is not an actual opening at Marblebound Labs.