Analytics Engineer
Milan/Remote
Salary: Ral 45k-55k Euro

LUCA FALONI is dedicated to delivering high-quality, timeless luxury fashion with a focus on craftsmanship and authenticity. We are passionate about creating products our customers love and rely on, and we are now looking for an Analytics Engineer to help us turn data into actionable insights that drive our business forward.

We are seeking a talented Analytics Engineer to design, build, and maintain scalable data solutions that empower our business teams. You will play a key role in transforming raw data into clean, reliable datasets, building interactive dashboards, and ensuring data quality and reliability. Your work will directly impact decision-making and business growth.

Design, build, and maintain scalable data models.
- Transform raw data into clean, reliable datasets for business stakeholders.
- Implement automated data quality tests to ensure trust and reliability.
- Build and maintain interactive dashboards to visualize key business metrics.
- Translate business needs from non-technical stakeholders (e.g., Apply software engineering best practices to analytics code (e.g., version control, CI/CD).
- Write clear technical documentation for data lineages and metrics.





Excellent English communication skills (written and verbal).
- Solid of experience in analytics engineering or a related data role.
- Expertise in advanced SQL and solid proficiency in Python.
- Proficiency with dbt (data build tool) and modern cloud data warehouses (e.g., BigQuery).
- Experience defining and maintaining semantic layers.
- Proficiency with spreadsheet software (e.g., Google Sheets) for handling legacy reports.
- Experience with Git and version control workflows.
- Understanding of data privacy best practices (e.g., PII masking, GDPR).
- Familiarity with BI tools (e.g., Holistics, Looker) and how they consume data.
- Strong problem-solving skills and attention to data quality.

Knowledge of Google Cloud services (e.g., Cloud Build, Vertex AI Pipelines).
- Experience with data orchestration tools.
- Familiarity with ETL and Reverse ETL tools (e.g., Basic understanding of machine learning concepts.
- Professional proficiency in Italian and English.

Work at the intersection of data, creativity, and business strategy.
Opportunity to influence key business decisions with data-driven insights.

📌 Remote engineer (Milano)
🏢 Luca Faloni
📍 Milano