About the job:
We are looking for a Junior Data Engineer to join our Data Engineering team, which builds and powers the advertising analytics ecosystem at Allegro. We operate as a center of knowledge and engineering standards, treating the highly technical analytics teams as our primary internal clients. This means our work is a balance between building robust data solutions directly for them, managing infrastructure, and designing our own data / GenAI products.
Our analytics clients drive advanced data initiatives - from building automated user profiling systems to developing their AI agents. We are here to clear away technical blockers, provide scalable engineering foundations, and ensure the entire ecosystem runs seamlessly.
What you will be doing:
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Pipeline Development & Product Ownership: Design, build, and maintain high-volume data processing pipelines, both as tailored solutions for your analytics clients and as part of your team's core data products.
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Building AI Agents: Actively develop and orchestrate AI agents to deliver innovative GenAI products and solutions.
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Data Modeling & Looker: Streamline our data architecture by building and maintaining a clean, accessible semantic layer in Looker.
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Infrastructure & Orchestration Management: Manage and optimize our data infrastructure, focusing heavily on our orchestration setup using Airflow and GCP Composer.
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Engineering Excellence: Promote development best practices through educational code reviews, clean code, TDD, and CI/CD workflows.
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Structured Client Support: Act as a trusted technical partner for our analytics clients when complex architectural challenges arise. To protect our deep-focus development time, we use a structured, rotational on-duty support system so that you can focus on coding without constant interruptions.
Important things for you: