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.