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.
- 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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