Senior Data Engineer (Freelance - all genders)

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/8oeq06

h3Description /h3pAt 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. /ppAt 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. /ppWe 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. /ppAs our bSenior Data Engineer (Freelance, all genders) /b, 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. /ppThis 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. /ppWe'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. /pulliData Infrastructure ETL: Design, build,



and maintain robust ETL/ELT pipelines to consolidate data from multiple sources into a reliable, scalable data infrastructure. /liliData Warehouse Architecture: Take ownership of designing and implementing our data warehouse, ensuring data quality, consistency, performance, and scalability. /liliData Modeling Semantic Layer: Develop clear, maintainable data models and a semantic layer that provide a consistent foundation for business reporting and analytics. /liliBusiness Intelligence Analytics: Enable and support our internal teams in creating dashboards, charts, reports, and analyses to drive data-informed decisions. /liliAI LLM Integration: Ensure our data warehouse can be securely and effectively accessed through LLM-based solutions, enabling context-aware querying and insights.. /liliTechnical 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. /liliData Governance Documentation: Establish best practices for data quality, documentation, access management, and compliance, creating a sustainable foundation for future growth. /li /ulh3Requirements /h3ulliExperience: Significant professional experience in Data Engineering, with demonstrated experience building a data warehouse from the ground up /liliETL/ELT Data Warehousing:



Deep expertise in building reliable data pipelines, integrating diverse data sources, and designing scalable data warehouse architectures. /liliData Modeling: Strong knowledge of dimensional modeling, data transformations, and semantic layers that support consistent business metrics and self-service analytics. /liliTechnical 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. /liliAI LLMs: Practical understanding of how to make structured business data accessible to LLM-based applications, with appropriate attention to data context, accuracy, and security. /liliLanguage: Proficient in English (at least C1), both written and spoken. /liliNice to Have – SaaS Metrics: Experience with SaaS business models and KPIs, including MRR, ARR, logo churn, revenue churn, LTV, CAC, and related metrics. /liliNice to Have – Growth-Stage Companies: Previous experience working with fast-growing SaaS companies, particularly as an early or first dedicated data professional. /li /ulh3Administrative Info /h3ulliLocation: Our offices are in Italy Germany, but this role is fully remote. Candidates must be based within the European Union /liliContract: Freelance / Independent Contractor. /liliWorking Hours: Approximately 10-15 hours per week /liliCollaboration: Long-term collaboration preferred. /liliReporting Line: Directly to the CEO. /liliTechnical 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. /li /ul #J-18808-Ljbffr

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/8oeq06