4 дня назад
Analytics Engineer (FinTech)
48 000 - 54 000€
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Analytics Engineer (FinTech): Building core warehouse data products, semantic models, and auditable compliance reporting systems with an accent on scalable data modeling, lineage, PII handling, and Data Mesh enablement. Focus on automating regulatory reporting, supporting shared data infrastructure and AI-assisted warehouse agents, and defining workflows for a new team.
Location: Milan, Italy; hybrid with two in-office days per week on Tuesday and Thursday
Salary: €48,000–€54,000 gross per annum
Company
is building a financial platform that provides accessible payments, benefits, investing, and card services to more than 6.5 million users.
What you will do
- Own the full lifecycle of warehouse data products and straightforward data ingestions.
- Establish data lineage, PII handling, auditability, and reliable data product governance.
- Maintain shared dimensional models and central semantic metrics for the Data Mesh.
- Build auditable data models that automate complex regulatory and compliance reporting.
- Guide shared warehouse infrastructure with the Data Platform team and contribute context for internal warehouse maintenance agents.
- Document knowledge and conduct code reviews to prevent bottlenecks and improve team autonomy.
Requirements
- Expert-level SQL skills and proficiency in Python for scripting and pipeline work.
- Strong data modeling experience, including scalable models serving multiple stakeholders and use cases.
- Deep experience with dbt or similar semantic modeling tools, plus familiarity with workflow orchestration.
- Regular use of Git and CI/CD in data development workflows.
- Ability to communicate methodologies and findings to technical and non-technical stakeholders, including executive leadership.
- Self-directed ownership, comfort with ambiguity, and working fluency with AI-assisted development tools such as Claude or Cursor.
Nice to have
- Previous experience as a Data Engineer.
- Experience in FinTech or highly regulated data environments.
- Exposure to LLM tooling built on a data warehouse.
- Experience with Looker, Hex, or Tableau.
Culture & Benefits
- Hybrid working policy with flexible working hours and the option to request additional remote time.
- Private health insurance for employees and families, psychological support, and mental health workshops.
- Stock Option Plan and meal vouchers.
- Relocation support for employees moving between countries.
- Professional development programs, internal mobility, and language courses.
- Unlimited PTO, enhanced parental leave, and additional leave for child sickness.
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