Intermate x SAMY -- Shaping the State of Social
You will be joining SAMY -- a global powerhouse leading the evolution of brand communication. Founded with a desire to challenge the status quo, we have grown from three employees to nearly 1,000 -- from one office to over 20 locations worldwide, active in more than 55 markets. We connect creativity, technology, and culture to make brands matter in the social universe -- for clients like The North Face, Microsoft, Diageo, and Samsung.
Intermate, our DACH powerhouse with more than 250 Mates in Berlin, Hamburg, Cologne, and remote, is one of the largest social media and influencer agencies in the region -- and lives every day what SAMY embodies on a global scale: social-first strategies, content produced in our own studios, close collaboration with creators, and data-driven campaigns powered by our own technology.
💡 👉 Note: Our application process is partly supported by an AI-powered assistant, which will conduct the initial introductory interview. You'll receive more information as your application progresses.
WHAT YOU DO
As Data Engineering Lead, you are the technical backbone of our global data ecosystem. You build and own the infrastructure that our entire data strategy rests on -- from pipeline to warehouse. You lead a small, highly motivated team of data engineers and work closely with the Global Analytics Lead and the Data Product Manager.
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You design, build, and maintain our global data warehouse and ETL/ELT pipelines. You set the standard for what the entire agency can achieve from a data perspective.
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You lead our team of data engineers, coaching them in best practices around code quality, documentation, and system reliability -- creating an environment where everyone grows.
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As the technical counterpart to the Global Analytics Lead, you translate analytical visions into scalable, automated production models -- turning ideas into real systems.
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You work closely with the Data Product Manager to ensure our internal data products are powered by efficient, high-performance, and cost-optimised data streams.
