Analytics Engineer — Build Scalable Data Products

Satispay; Lombardia; Hybrid; EUR 48,000 - 54,000; Full time

Benefits offered by this job

Health insurance

Stock options

Meal vouchers

Relocation support

Professional development

Internal mobility

Language courses

Unlimited PTO

Hybrid work policy

Flexible hours

Parental leave

Job summary

Satispay is seeking an Analytics Engineer to serve as the analytical backbone of the data ecosystem. You will own core data products end-to-end, ensure data lineage and auditability, and partner with the Data Platform team to enable scalable analytics across domains.

You'll design robust data models, leverage dbt and Python for scripting and pipelines, and drive cross-functional alignment with technical and non-technical stakeholders.

Qualifications

• Expert in SQL and Python for data tooling and pipelines.
• Strong data modeling skills for scalable, multi-stakeholder products.
• Deep experience with dbt or equivalent semantic modeling tools.
• Familiar with Git, CI/CD, and modern development workflows.

Responsibilities

• Own end-to-end data products and their lifecycle, ensuring lineage and auditability.
• Maintain shared dimensional models and central semantic metrics across domains.
• Automate complex regulatory reporting with robust, auditable models.
• Collaborate with Data Platform team to shape platform infrastructure and governance.
• Proactively document processes and review code to prevent bottlenecks.

Skills

SQL

Python

Data modeling

dbt

Git & CI/CD

Tools

Workflow orchestration

Job description

Satispay is seeking an Analytics Engineer to serve as the analytical backbone of the data ecosystem. You will own core data products end-to-end, ensure data lineage and auditability, and partner with the Data Platform team to enable scalable analytics across domains.

You'll design robust data models, leverage dbt and Python for scripting and pipelines, and drive cross-functional alignment with technical and non-technical stakeholders.