Senior Data Engineer (Snowflake)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior Data Engineer (Snowflake): Designing and implementing data models and pipelines on Snowflake, building data-facing application layers, and developing greenfield product features across AI Pod and Rights360 platforms with an accent on reliability and maintainability. Focus on real-time inventory and rights conflict detection capabilities, and working with Snowflake Cortex AI/ML services.
Location: European Union
Company
is a global AI transformation and technology consulting partner where talented engineers and technologists work on cutting edge innovation.
What you will do
- Design and implement data models and pipelines on Snowflake using Snowpark and SQL.
- Build data-facing application layers using Streamlit 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.
- Collaborate closely with the shared tech lead and build with a production-ready mindset.
Requirements
- Strong hands-on experience with Python and SQL.
- Hands-on experience with Snowflake, or 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.
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.
Culture & Benefits
- 100% Remote Work with monthly WFH allowance.
- Career growth program with 360º feedback and mentoring program.
- Training budget for online courses, English classes, books, conferences, and events.
- Wellbeing Hub with sessions from mental health professionals, nutritionists, physiotherapists, and fitness coaches.
- Multicultural working environment with tech events, webinars, parties, and online team-building activities.
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