Senior Data Engineer (Snowflake)

Full Stack Data Engineer (Snowflake)

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 Full Stack Data Engineer to work on a project in the media sector

We are looking for a talented Full Stack Data Engineer to join a project in the media sector, building greenfield data products for a major US media company. 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 who thinks like a full-stack, data-driven product builder, comfortable owning problems end-to-end and delivering solutions directly to users.

• Design and implement scalable data models and pipelines on Snowflake using Snowpark and SQL

• Write complex, production-grade SQL (dbt models, views, UDFs) to power business logic and product features

• Build data-facing application layers using Streamlit (in Snowflake) or similar frameworks

• Develop and iterate on greenfield product features across AI Pod and Rights360 platforms

• Create user-facing applications on Snowflake, with potential extension into lightweight APIs (e.g. FastAPI)

• Leverage Snowflake Cortex AI/ML services for forecasting, profitability modelling, and conversational/agentic features

• Contribute to real-time inventory management and rights conflict detection (Rights360)

• Build conversational interfaces enabling natural language data querying for operational teams

• Collaborate closely with the shared tech lead across multiple workstreams 

• Take end-to-end ownership of solutions — from data modelling and logic to UI delivery

• Ensure production-ready systems with a focus on reliability, maintainability, and clean code

• Work across the full stack, from data pipelines to user-facing dashboards

• Strong hands-on experience with Python

• Strong expertise in SQL, with ability to write complex, production-grade queries

• Experience working with Snowflake or similar platforms (BigQuery, Redshift, Databricks)

• Experience in data modelling and building scalable data pipelines

• Experience building data-facing applications (Streamlit, Dash, Flask, or similar)

• Ability to deliver end-to-end solutions, from data layer to user interface

• Comfortable working across the stack, from data engineering to user-facing applications

• Practical, production-focused mindset with emphasis on clean, maintainable, and reliable code

• Strong communication skills and ability to thrive in a fast-paced, greenfield environment

• Experience with Snowflake-native tools (Cortex, Streamlit in Snowflake, Snowpark)

• Experience with dbt

• Experience building lightweight APIs (e.g. FastAPI)

• Interest or hands-on experience with GenAI/LLM patterns (RAG, embeddings, LangChain, prompt engineering, agentic workflows)

• Experience building conversational or AI-driven data applications

• Frontend exposure (e.g. React)

• Background in media, content, or rights management data domains

• Experience with real-time or near-real-time data architectures

• Thinks in SQL first and enjoys crafting logic that drives real business products

• Excited about building user-facing tools, not just data pipelines

• Curious about AI/LLM capabilities and how they enhance data products

• Takes ownership and delivers complete, end-to-end solutions

• Has a builder mindset — proactive, resourceful, and focused on delivering results

• 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 a 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.