Senior Data Practitioner

Join Aily, a global company at the forefront of AI-driven decision intelligence. As a Senior Data Practitioner, you will lead the design and implementation of complex data platforms, build robust data components, establish data engineering standards, optimize infrastructure, and mentor junior team members. This is a hybrid role with a fast growth path, ideal for data engineers/data analysts with 4 to 6 years of experience and a passion for building reliable, scalable data solutions.

• Lead the design, implementation, and long-term ownership of complex, multi-tenant data platforms, ensuring alignment with business domains and use cases.
• Build robust data components using advanced Python for APIs/orchestration and expert SQL for dbt-based transformation and normalization layers.
• Establish and enforce global data engineering standards, implementing shift-left data quality frameworks, validation, and proactive alerting at scale.
• 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