Senior Data Engineer (Snowflake) at Zartis

Senior Data Engineer (Snowflake) The company and our mission:  Zartis is a global AI transformation and technology consulting partner where talented engineers and technologists work on cutting edge innovation. We partner with ambitious organizations to design, build, and scale technology solutions that deliver real impact. Our teams bring deep expertise in AI driven platforms, secure API architectures, and cloud native engineering. You will work on meaningful projects that accelerate the adoption of advanced technologies, from strategy and discovery through to full product delivery, helping turn complex challenges into measurable outcomes. With engineering hubs across EMEA and LATAM, and long term partnerships in financial services, healthcare and life sciences, and energy and climate, we offer opportunities to work on projects that truly matter. Here, you will not just build technology, you will drive business impact and grow your career alongside industry leaders. We are looking for a talented Senior Data Engineer to join a project in the media sector, building greenfield data products for a major US media company. The project: Our teammates are talented people that come from a variety of backgrounds. We’re committed to building an inclusive culture based on trust and innovation. You will be part of a distributed team working on two greenfield product streams — the AI Solutions Pod and Rights360 — built on a modern, Snowflake-native stack. You’ll design and build scalable, high-impact systems, contributing to innovative solutions that combine data, automation, and intelligent technologies to solve real business problems and support efficient, insight-driven decision-making in fast-moving environments. We are looking for someone with strong communication skills, who is proactive, comfortable taking ownership in a greenfield environment, and experienced in building data-driven products end-to-end, with strong attention to detail and a production-focused mindset. What you will do: Design and implement data models and pipelines on Snowflake using Snowpark and SQL Build data-facing application layers using Streamlit (in Snowflake) or similar frameworks Develop and iterate on greenfield product features across the AI Pod and Rights360 platforms Work with Snowflake Cortex AI/ML services to support forecasting, profitability modelling, and agentic features Contribute to real-time inventory and rights conflict detection capabilities (Rights360) Collaborate closely with the shared tech lead across SOW #2 and SOW #3 Build with a production-ready, practical mindset — prioritising reliability and maintainability Work across the full stack as needed — from data pipelines to user-facing dashboards What you will bring: Strong hands-on experience with Python (must-have). Strong knowledge of SQL and experience working with relational data (must-have). Hands-on experience with Snowflake, or solid experience with similar platforms such as BigQuery, Redshift, or Databricks. Experience in data modelling and building scalable data pipelines. Experience building data-facing applications using frameworks such as Streamlit, Dash, Flask, or similar. Comfortable working across the stack, from data engineering to user-facing applications. Practical, production-focused mindset with an emphasis on clean, maintainable, and reliable code. Strong communication skills and the ability to thrive in a fast-paced, greenfield environment. Nice to have: Experience with Snowflake-native tools: Cortex, Streamlit in Snowflake, Snowpark Interest or hands-on experience with GenAI patterns: RAG, LLMs, embeddings, or agentic workflows Background in media, content, or rights management data domains Experience with real-time or near-real-time data architectures What we offer:  100%Remote Work WFH allowance: Monthly payment as financial support for remote working. Career Growth: We have established a career development program accessible for all employees with 360º feedback that will help us to guide you in your career progression. Training: For Tech training at Zartis, you have time allocated during the week at your disposal. You can request from a variety of options, such as online courses (from Pluralsight and Educative.io, for example), English classes, books, conferences, and events. Mentoring Program: You can become a mentor in Zartis or you can receive mentorship, or both. Zartis Wellbeing Hub (Kara Connect): A platform that provides sessions with a range of specialists, including mental health professionals, nutritionists, physiotherapists, fitness coaches, and webinars with such professionals as well. Multicultural working environment: We organize tech events, webinars, parties, and activities to do online team-building games and contests.