We are the backbone of Aily’s “Data-to-Decision” engine. We build and own the complete data lifecycle—from ingestion and transformation to quality and delivery. Our team develops the robust models, APIs and scalable infrastructure that ensure high-quality data is always available for the Aily App and our AI models.

End-to-End Architecture & Business Ownership: Lead the design, implementation, and long-term ownership of complex, multi-tenant data platforms with minimal strategic guidance, deeply aligning technical solutions with business domains and use cases.

Core Development & Tooling: Build robust data components, utilizing advanced Python for APIs/orchestration and expert SQL for dbt-based transformation and normalization layers.

Data Quality & Engineering Standards: Establish and enforce global data engineering standards, implementing shift-left data quality frameworks, validation, and proactive alerting at scale.

Infrastructure Optimization: Drive continuous improvements in data infrastructure, modeling, and tooling to optimize performance, control costs,



and reduce operational burden.

Mentorship & Craft Excellence: Champion engineering excellence across the chapter, mentoring junior team members and defining best practices for tooling and data craft.

Benefits

General company and culture

Fast growth path

Hybrid working model

We are looking for Data Practitioners (Mix of Data Engineer and Analytics skills) who are passionate about building reliable, scalable data solutions that power enterprise-grade AI: people who make data accessible, trustworthy and ready for ML, ensuring our decision intelligence platform can serve millions of insights every day.

Data Engineers / Data Analysts with 4 to 6 years of experience who excel at building reliable, scalable data models and pipelines that power AI decision-making at enterprise scale.

Startup mindset: thrives in ambiguity, proactively solves complex data challenges, and improves tooling beyond your immediate

📌 Senior Data Practitioner (Madrid)
🏢 Aily Labs
📍 Madrid