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Lexroom

Data-first Generative AI for legal teams

Analytics Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-timeMilan, Metropolitan City of Milan, Italy

About the Job

Requirements

  • At least 3 years of experience in analytics engineering, data engineering, or a data analyst role with a strong engineering mindset.
  • Expert SQL skills and hands-on experience with dbt Core or dbt Cloud.
  • 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, including scripting, basic ETL, and exploratory notebooks.
  • Experience building data models for multiple stakeholders across product, engineering, and business.
  • Fluent English is required.

Responsibilities

  • Own the data transformation layer from raw sources to trusted, documented datasets, designing and maintaining a dbt project on BigQuery with staging, intermediate, and mart layers.
  • Model product analytics events, engineering metrics, and business KPIs into reliable, self-service data models.
  • Build and maintain data foundations that power dashboards, decisions, and team health metrics.
  • Implement data quality frameworks, including tests, freshness checks, anomaly detection, and clear ownership and SLAs on key datasets.
  • Collaborate with engineers to improve event tracking and data contracts at the source, including Pub/Sub and application events.
  • Create and curate dashboards and semantic layers that Product, CS, and Sales teams can query directly for self-service analytics.
  • Partner with the AI & Search Platform team to instrument and measure 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.
  • Design the analytics function from scratch as the company's first dedicated analytics hire.

Desired Qualifications

  • Italian language skills are a strong plus.
  • Experience with event-driven architectures such as Pub/Sub or Kafka, and streaming data.
  • Familiarity with Elasticsearch, Pinecone, or vector databases.
  • Exposure to engineering metrics such as DORA, PR analytics, or developer productivity measurement.
  • Experience with BI and visualization tools such as Retool, Looker Studio, or Metabase.
  • Interest in AI/ML model evaluation and LLM output quality measurement.
  • Previous experience in legal-tech, RegTech, or B2B SaaS.

About the Company

Lexroom

Data-first Generative AI for legal teams

Lexroom builds a data-first Generative AI platform for lawyers and corporate legal teams in civil-law jurisdictions. It combines up-to-date proprietary legal sources—legislation, case law, and regulations—with research, drafting, and analysis workflows so outputs can be traced to verified sources rather than depending on generic LLMs. The product emphasizes security and compliance (ISO 27001, GDPR/AI Act alignment) and a zero-training/zero-retention posture on customer documents, serving thousands of firms primarily in Italy with expansion to Spain and Germany. Its goal is to become the standard platform for legally grounded AI help, enabling teams to work more efficiently while maintaining traceability and regulatory compliance.

Company size
201-500
Company stage
Series B
Total funding
$68.9M
Headquarters
Milan, Italy
Founded
2023

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