3 months ago
Milan, ItalyMid Level
Responsibilities
- Own the data transformation layer from raw sources to trusted, documented datasets using dbt on BigQuery.
- Model product analytics events, engineering metrics, and business KPIs into reliable self-service data models.
- Build and maintain data foundations for dashboards, decision-making, and team health metrics.
- Implement data quality frameworks including tests, freshness checks, anomaly detection, dataset ownership, and SLAs.
- Collaborate with engineers to improve event tracking and source data contracts using Pub/Sub and application events.
- Create and curate dashboards and semantic layers for Product, Customer Success, and Sales teams.
- Partner with the AI & Search Platform team to instrument model performance, feedback loops, and benchmark results.
- Support Product teams with ad hoc analysis of feature impact, user segmentation, satisfaction trends, and power-user behavior.
Requirements
- 3+ years of experience in analytics engineering, data engineering, or data analysis with a strong engineering mindset.
- Expert SQL skills and hands-on experience with dbt Core or dbt Cloud.
- Solid experience with BigQuery or comparable cloud data warehouses such as Snowflake or Redshift.
- Strong understanding of dimensional modeling, data testing, and documentation-as-code practices.
- Comfort working in a Python ecosystem for scripting, basic ETL, and exploratory notebooks.
- Experience building data models for product, engineering, and business stakeholders.
- Fluent English; Italian is a strong plus.
- Experience with event-driven architectures such as Pub/Sub or Kafka and streaming data is a plus.
- Familiarity with Elasticsearch, Pinecone, or vector databases is a plus.
- Exposure to engineering metrics or developer productivity measurement is a plus.
- Experience with Retool, Looker Studio, or Metabase is a plus.
- Interest in AI/ML model evaluation and LLM output quality measurement is a plus.
- Previous legal-tech, RegTech, or B2B SaaS experience is a plus.
Benefits
- Annual salary range of €45,000–€70,000 plus an equity package.
- Hybrid work with flexibility between remote work and in-person collaboration at the Milan headquarters.
- Comprehensive health insurance.
- Meal vouchers.
- Performance bonuses tied to measurable results.
- Team retreats and off-sites.
Tech Stack
Amazon RedshiftApache KafkadbtElasticsearchGoogle BigQueryGoogle Cloud PlatformLooker StudioMetabasePythonSnowflakeSQL
Categories
Data Engineering
About Lexroom
Lexroom builds an AI-powered legal research and drafting platform for law firms and in-house legal teams, producing source-backed answers and first drafts across multiple practice areas. It sells the software as a subscription with enterprise features to integrate into lawyers’ workflows, developed with input from firms such as GOP, Ichino Brugnatelli, and GPBL. The privately held company is headquartered in Milan and raised a Series B in 2026.