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A modern consumer brand in Germany is looking for a Senior Data Engineer to join their Data & Analytics team. This full-time role involves designing and maintaining data pipelines using Snowflake, ensuring data-driven decision-making across the organization. Ideal candidates will have over 6 years of data engineering experience and strong skills in Python and SQL. The role pays between $110,000 and $120,000 per annum and promotes a culture of collaboration and innovation.
Full-time permanent opportunity with a rapidly growing lifestyle brand at the intersection of retail, e-commerce, and technology.
Our client is seeking a Senior Data Engineer to join their growing Data & Analytics team. You’ll be responsible for designing, building, and maintaining modern data pipelines and Snowflake-based architecture that power analytics and business insight across retail, e-commerce, and operational systems.
This is a high-impact role that supports data-driven decision making across the organization.
Our client is a modern consumer brand experiencing significant growth across both digital and brick-and-mortar channels. The company blends creativity, technology, and data to deliver a distinctive customer experience and drive continued expansion in North America and abroad.
They foster a culture that values collaboration, autonomy, and innovation. The data team is highly visible and plays a critical role in scaling the organization through better insights, governance, and technology adoption.
You’ll bring the following skills and experience to the role:
This role pays between $110,000–$120,000 per annum.
If the sound of this opportunity excites you, and you’re confident that it’s a good fit for your experience and career goals, then we’d love to hear from you! Please send your updated resume to us by applying to this posting and one of our awesome team of recruiters will be in touch.