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

- Integral 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 scope.

Strong collaborators who partner with Data Practitioners, Data Scientists, Software/ML Engineers, Product teams, and business stakeholders to turn raw data into actionable customer insights.

Expert SQL skills (architecting advanced incremental patterns, complex modeling, and query optimization).

Advanced Python for services/pipelines (not notebook-only analytics).

Deep familiarity with production-grade engineering practices, including rigorous CI/CD pipelines, test-driven development (pytest), and leading technical code reviews.

Ready to Lead Boldly – building the data foundation that enables Aily’s AI platform to deliver millions of real-time insights, briefings and agentic responses daily.

Hands‑on builders with: A strong business-domain mindset—the ability to act as a translator between complex business data needs and highly efficient data architectures.

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