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Auctane

Data Engineer (Madrid based)

Auctane · Madrid, ES

Posted 20 days ago

or apply directly on Auctane 's site. We never take the application ourselves.

Is this posting real?

This role has been open
20 days
Auctane 's roles stay open a median of 27 days
Reposted
No
Salary listed
No
4% of Auctane 's roles list one
Ghost-job risk at Auctane
low
3 stale, 0 reposted of 27 open
Hiring momentum
43 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-09-17

Measured from postings appearing on and disappearing from Auctane 's own greenhouse board since 2026-08-03. Full hiring picture for Auctane .

About this role

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.

Our read on this posting3.6out of 5
benefits
5/5
freshness
4/5
career value
4/5
role clarity
5/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Auctane as an employer.

What you need

  • 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 you get

  • 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

Worth weighing

  • 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

Summarised from Auctane 's posting. Read the full original.

Listed by Auctane on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.

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