Senior Data Engineer

New
N
n8nWorkflow Orchestration
Location: Germany; Secondary Locations: Bosnia, Romania, Norway, Estonia, Latvia, Slovenia, Netherlands, Hungary, Kosovo, Portugal, Poland, Serbia, Austria, Montenegro, London Office, Albania, Lithuania, Slovakia, Ireland, Bulgaria, Denmark, Czech Republic, United Kingdom, Croatia, Spain, Greece, UkraineFull-TimeSenior
Salary not disclosed
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Job Details

Languages
English
Required Skills
PythonSQLGitAirflowCI/CDData modelingBigQuerydbt

Requirements

  • Advanced SQL skills with experience building production-grade data pipelines.
  • Production experience designing, maintaining, and optimizing workflows with dbt and BigQuery.
  • Experience using Dagster or similar orchestration tools like Airflow or Prefect.
  • Proficiency in Python for building pipelines, automation, and data engineering tools.
  • Strong understanding of dimensional modeling, ELT patterns, and dataset design.
  • Experience with Git version control, automated testing, and CI/CD practices.
  • Interest in working in an AI-driven environment and applying LLMs to data problems.

Responsibilities

  • Design, build, and own end-to-end data pipelines and transformation workflows using dbt on BigQuery.
  • Develop scalable ELT models supporting analytics, AI, marketing, and operational use cases.
  • Orchestrate and schedule data workflows using Dagster to ensure reliability and observability.
  • Partner with analysts and data scientists to deliver self-serve datasets in Hex.
  • Build marketing attribution models and reverse ETL workflows for platforms like Google Ads and Meta.
  • Optimize BigQuery workloads for performance, scalability, and cost efficiency.
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