Freelance Data Engineer
1 settimana fa
We are Startup Bakery , an Italian startup studio that builds B2B SaaS companies from scratch. We design and develop products that combine a simple and intuitive user experience, data‑driven processes, and Artificial Intelligence, following a lean approach and focusing on solutions that generate real value and a positive impact on people and the planet . How we work Trust & initiative – take ownership, experiment, and don’t be afraid of making mistakes. Work‑life balance – results matter, not working hours. Flexibility – work remotely or join us at our Milan HQ whenever collaboration (and fun) is needed. We are looking for an experienced Data Engineer with strong technical leadership skills and hands‑on experience in data infrastructure projects to collaborate on an innovative project developed by Startup Bakery. Key responsibilities Design and oversee end-to-end data architecture (ingestion, transformation, storage, consumption) on cloud platforms (e.g. AWS, GCP, Azure). Coordinate and develop scalable and reliable data pipelines collecting data from IoT devices and other sources. Collaborate closely with Data Scientists and Machine Learning Engineers to ensure predictive models and analytics are efficient, production‑ready, and reproducible. Ensure data quality, governance, and security, including the definition of standards and best practices. Contribute to the design of dashboards and reporting systems to provide actionable insights for agronomists and internal teams. Monitor data system performance, handle troubleshooting, and drive continuous optimization. Must-have Degree in Computer Science, Engineering, Mathematics, or a related field. 4+ years of experience in Data Engineering roles (ETL/ELT, pipelines, data warehousing). Strong proficiency in data programming languages: Python and SQL (other languages are a plus). Experience with Elasticsearch. Familiarity with data modeling concepts, APIs, and IoT integrations. Ability to work independently and coordinate small development teams. Nice-to-have Basic knowledge of MLOps and advanced analytics tools. Experience working in startups or fast-paced, scalable environments. Part-time freelance collaboration Remote-first , with optional access to our Milan office #J-18808-Ljbffr
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