Valtech
5001 - 10000 employees
Founded 1997
🤝 B2B
☁️ SaaS
B2B • Marketing • SaaS
Valtech is a global digital agency focusing on experience innovation. They strive to transform businesses through a combination of technology, marketing, and data strategies. Valtech helps companies elevate their digital presence and drive commerce strategies, enhance enterprise digital transformations, and unlock marketing and performance potential. They also utilize data and AI to help organizations harness the power of information. With offices around the world, Valtech partners with businesses to shape their digital futures, offering a range of services and insights designed to enhance customer experiences.
Senior Data Engineer
🔥 0 minutes ago
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Valtech
5001 - 10000 employees
Founded 1997
🤝 B2B
☁️ SaaS
B2B • Marketing • SaaS
Valtech is a global digital agency focusing on experience innovation. They strive to transform businesses through a combination of technology, marketing, and data strategies. Valtech helps companies elevate their digital presence and drive commerce strategies, enhance enterprise digital transformations, and unlock marketing and performance potential. They also utilize data and AI to help organizations harness the power of information. With offices around the world, Valtech partners with businesses to shape their digital futures, offering a range of services and insights designed to enhance customer experiences.
📋 Description
• Design and implement scalable data platforms and pipelines across cloud environments • Develop reliable batch, streaming, and near-real-time pipelines • Build ingestion, transformation, and curation workflows for both structured and unstructured data • Implement modern data architectures including lakehouse patterns and medallion layering • Deliver high-quality datasets that support analytics, machine learning, causal modeling, and optimization systems • Design scalable logical and physical data models • Orchestrate workflows using tools such as Airflow, dbt, Lakeflow, or equivalents • Apply modern architecture patterns including event-driven and streaming architectures • Establish strong data observability • Enable data serving layers to support downstream systems • Collaborate with data scientists, ML engineers, analysts, and business stakeholders
🎯 Requirements
• Strong hands-on experience with Apache Spark and Delta Lake • Strong programming skills in Python and SQL • Proven experience building batch and streaming data pipelines • Solid understanding of data modeling, data quality, and governance principles. • Experience with one or more major cloud platforms (Microsoft Azure / Fabric preferred, also AWS or GCP) • Familiarity with modern data platforms (e.g., Databricks and Snowflake) • Experience with lakehouse architectures and distributed data systems • Strong understanding of scalability, reliability, and performance considerations in data pipelines • Problem-solving skills focused on scalability and reliability • Collaborative approach to working in cross-functional teams
🏖️ Benefits
• growth opportunities • values-driven culture • international careers • the chance to shape the future of experience
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