Analytics Engineer (AI)

TL;DR

Analytics Engineer (AI): Designing, building, and operating an Insight Environment, focusing on developing scalable data pipelines and modeling data for analytical and machine-learning use cases. Focus on strengthening engineering foundations, operationalizing ML models, and ensuring data quality and observability at scale.

Company

hirify.global is a pioneering global FinTech company developing innovative trading and investment products, leveraging proprietary platforms, mobile technology, big data, and blockchain innovations.

What you will do

• Own and evolve core datasets, applying strong data governance, quality controls, and stewardship.
• Design and maintain production-grade data models and transformations using dbt and BigQuery.
• Operationalise machine learning models and data science workflows in Databricks.
• Manage the orchestration layer (Prefect) to ensure resilient, observable, and well-documented data workflows.
• Build and manage data pipelines, including RETL and activation workflows (e.g., RudderStack).

Requirements

• Strong experience in data or analytics engineering roles, with advanced proficiency in Python and SQL.
• Solid working knowledge of PySpark or similar distributed computing frameworks.
• A degree in computer science, data science, engineering, or a related field or equivalent professional experience.
• Practical understanding of how machine learning models are productionised, including deployment, monitoring, and lifecycle considerations.
• Proven experience in data preparation and modelling, with a strong focus on accuracy, reliability, and reusability.
• Experience designing and operating orchestrated data workflows.

Culture & Benefits

• 40 days of flexible holiday.
• World class private health insurance with dental coverage.
• Significant “Flexible Benefits” budget.
• Employee Assistance Program, Life Insurance, and Critical Illness Insurance.
• Opportunity to work with an advanced modern data stack including dbt, Databricks, BigQuery, and Prefect.
• Contribute to and shape an evolving data ecosystem.