The ad says“Deep familiarity with production-grade engineering practices, including rigorous CI/CD pipelines, test-driven development (pytest), and leading technical code reviews”
The ad says“Deep familiarity with production-grade engineering practices, including rigorous CI/CD pipelines, test-driven development (pytest), and leading technical code reviews”
The ad says“Core Development & Tooling: Build robust data components, utilizing advanced Python for APIs/orchestration and expert SQL for dbt-based transformation and normalization layers”
The ad says“Deep familiarity with production-grade engineering practices, including rigorous CI/CD pipelines, test-driven development (pytest), and leading technical code reviews”
The ad says“Core Development & Tooling: Build robust data components, utilizing advanced Python for APIs/orchestration and expert SQL for dbt-based transformation and normalization layers”
The ad says“Core Development & Tooling: Build robust data components, utilizing advanced Python for APIs/orchestration and expert SQL for dbt-based transformation and normalization layers”
The ad says“Deep familiarity with production-grade engineering practices, including rigorous CI/CD pipelines, test-driven development (pytest), and leading technical code reviews”
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
Hybrid working model
Fast growth path
Global company and culture
Preferred experience
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
A strong business-domain mindset—the ability to act as a translator between complex business data needs and highly efficient data architectures
Deep familiarity with production-grade engineering practices, including rigorous CI/CD pipelines, test-driven development (pytest), and leading technical code reviews
Startup mindset: thrives in ambiguity, proactively solves complex data challenges, and improves tooling beyond your immediate scope
Hands-on builders with:
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
Advanced Python for services/pipelines (not notebook-only analytics)
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
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
