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← Auctane

Data Engineer (Madrid based)

Auctane
Location
Madrid, ES
Posted
24 days ago
Department
Research & Development
What they actually want (must-haves)
  • Strong Data Engineering background in lakehouse or data warehouse architecture
  • Experience developing and supporting robust, automated, and reliable data pipelines in Python and SQL
  • Mastered Python and SQL skills
  • Experience with data processing frameworks like Spark or dbt
  • Knowledge of Data Orchestration solutions, like Databricks Lakeflow or Airflow
  • Knowledge of relational database design
Nice to have
  • Production experience working with very large datasets
  • Direct experience with Infrastructure as Code tools (e.g., Terraform, CloudFormation)
  • Knowledge and experience in using business intelligence and analytics tools (Tableau, Looker, Power BI, etc.)
  • Understanding of core ML concepts like supervised and unsupervised learning, overfitting, and cross-validation
  • Comfortable working with AI-assisted engineering tools (e.g., Claude Code)
What the job really is

As a Data Engineer at Auctane, you will design, implement, and maintain data pipelines and analytics solutions, primarily using Databricks. You will collaborate with stakeholders to support the ShipStation Global data strategy and contribute to the architecture of the data platform while ensuring high standards of data quality and observability. The role emphasizes engineering excellence and involves working with large datasets and modern data processing frameworks.

Benefits
  • Clear and transparent compensation plan with a salary range of 43000 € to 52000€/year
  • Flexible salary benefits
  • Private health insurance free for employees and 50% covered for family members
  • 26 days of holiday per year plus additional days off
  • Choice of work gear (Mac or Windows)
  • Annual salary review
Things to weigh
  • No specific mention of remote work options beyond hybrid
  • Focus on data quality and observability may indicate a rigorous engineering environment
  • Fast-paced environment with a growing dataset may lead to high workload
Job score3.6/5
Benefits5/5
Freshness4/5
Career value4/5
Role clarity5/5
Pay transparency0/5

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