Senior Data Engineer (Freelance - all genders)

AlfaDocs.com; Lombardia; A distancia; EUR 83.000 - 152.000; A tiempo parcial

Ventajas ofrecidas por este puesto de trabajo

Flexible hours

Remote work

Descripción de la vacante

AlfaDocs.com is seeking a Senior Data Engineer (Freelance) to own data infrastructure, transform raw data into actionable insights, and drive analytics across the business. This remote, part-time role reports to the CEO and focuses on building a scalable data warehouse and robust ETL/ELT pipelines in a growing SaaS environment.

The position suits an autonomous expert with hands-on experience in data modeling, semantic layers, and AI/LLM-ready data access.

Formación

• Extensive Data Engineering experience and proven track record building a data warehouse from scratch.
• Deep expertise in ETL/ELT and scalable data warehouse architectures.
• Strong data modeling skills to support analytics and self-service BI.
• Proficiency in SQL and modern cloud data warehousing; BigQuery and Dataform experience preferred.
• Understanding of how to offer data to LLM-based applications with data context and security.

Responsabilidades

• Design, build, and maintain robust ETL/ELT pipelines from multiple sources.
• Own data warehouse architecture, data quality, performance, and scalability.
• Develop clear data models and a semantic layer for reporting and analytics.
• Enable BI dashboards, charts, and analyses for internal teams.
• Integrate AI/LLM solutions with secure, contextual data access.
• Evaluate tech options and drive a pragmatic data strategy.

Conocimientos

SQL

English (C1)

Data Modeling

ETL/ELT

Data Warehousing

Herramientas

BigQuery

Dataform

Descripción del empleo

Description

At Alfadocs, we're on a mission to transform healthcare. Our software platform makes the daily lives of medical practices and patients easier by streamlining practice management and patient relationships. With our all-in-one, cloud-based solution, healthcare professionals can focus more on care and less on administration.

At Alfadocs, we're on a mission to transform healthcare. Our software platform makes the daily lives of medical practices and patients easier by streamlining practice management and patient relationships. With our all-in-one, cloud-based solution, healthcare professionals can focus more on care and less on administration.

We take pride in our responsibility to deliver high-performance solutions while fostering a collaborative and respectful environment where everyone's contributions are valued. We're driven by a shared passion to make a lasting impact on the healthcare industry, creating a space where both our team and our customers thrive.

As our Senior Data Engineer (Freelance, all genders), you'll be the first dedicated data professional at Alfadocs, reporting directly to the CEO. You'll take full ownership of building our data infrastructure and transforming raw data into reliable, actionable business insights.

This is a highly autonomous, hands-on role for an experienced professional who has already built a data warehouse from scratch in a growing company and knows how to balance technical excellence with pragmatic business needs.

We're looking for a long-term freelance collaboration of approximately 10-15 hours per week, with the possibility of a higher initial commitment to accelerate the setup.

• Data Infrastructure & ETL: Design, build, and maintain robust ETL/ELT pipelines to consolidate data from multiple sources into a reliable, scalable data infrastructure.
• Data Warehouse Architecture: Take ownership of designing and implementing our data warehouse, ensuring data quality, consistency, performance, and scalability.
• Data Modeling & Semantic Layer: Develop clear, maintainable data models and a semantic layer that provide a consistent foundation for business reporting and analytics.
• Business Intelligence & Analytics: Enable and support our internal teams in creating dashboards, charts, reports, and analyses to drive data-informed decisions.
• AI & LLM Integration: Ensure our data warehouse can be securely and effectively accessed through LLM-based solutions, enabling context-aware querying and insights..
• Technical Strategy & Ownership: Evaluate our existing setup based on Google BigQuery and Dataform, identify opportunities for improvement, and recommend alternative technologies where they provide clear advantages.
• Data Governance & Documentation: Establish best practices for data quality, documentation, access management, and compliance, creating a sustainable foundation for future growth.

Requirements

• Experience: Significant professional experience in Data Engineering, with demonstrated experience building a data warehouse from the ground up
• ETL/ELT & Data Warehousing: Deep expertise in building reliable data pipelines, integrating diverse data sources, and designing scalable data warehouse architectures.
• Data Modeling: Strong knowledge of dimensional modeling, data transformations, and semantic layers that support consistent business metrics and self-service analytics.
• Technical Stack: Strong proficiency in SQL and modern cloud data warehousing technologies. Experience with Google BigQuery and Dataform is highly relevant, but we're open to alternative tools and architectures.
• AI & LLMs: Practical understanding of how to make structured business data accessible to LLM-based applications, with appropriate attention to data context, accuracy, and security.
• Language: Proficient in English (at least C1), both written and spoken.
• Nice to Have – SaaS Metrics: Experience with SaaS business models and KPIs, including MRR, ARR, logo churn, revenue churn, LTV, CAC, and related metrics.
• Nice to Have – Growth-Stage Companies: Previous experience working with fast-growing SaaS companies, particularly as an early or first dedicated data professional.

Administrative Info

• Location: Our offices are in Italy & Germany, but this role is fully remote. Candidates must be based within the European Union
• Contract: Freelance / Independent Contractor.
• Working Hours: Approximately 10-15 hours per week
• Collaboration: Long-term collaboration preferred.
• Reporting Line: Directly to the CEO.
• Technical Environment: We currently use Google BigQuery and Dataform as our initial data infrastructure, but we're open to evaluating alternative technologies based on your expertise.