Data Engineer (Analytics Engineering)

Location: Manila, Philippines; hybrid with 2 days per week in the office

Company

hirify.global develops AV networking media products that manage audio and video channels over a single network.

What you will do

• Build and maintain pipelines that ingest, transform, and prepare commercial and operational data for analysis.
• Develop and maintain the modelled data layer with version control, peer review, testing, and documentation.
• Create dashboards, scheduled reports, and self-service exploration tools for Sales, Marketing, Finance, Product, and Strategy.
• Turn exploratory analyses into robust, supportable data products with ongoing commercial value.
• Support orchestration, deployment, monitoring, data quality checks, and lightweight infrastructure in partnership with DevOps.
• Contribute to the platform roadmap and partner closely with the data scientist.

Requirements

• Deep experience in analytics engineering or data engineering, ideally in a B2B technology business.
• Strong analytics engineering practices, including Git, peer review, testing, and documentation.
• Hands-on skills in Python, SQL, and NoSQL databases such as MongoDB.
• Experience building end-to-end pipelines covering ingestion, transformation, scheduling, and monitoring with tools such as dbt, Airflow, Dagster, or Prefect.
• Experience with a modern cloud data warehouse such as Snowflake, BigQuery, Databricks, or Redshift, including enabling safe self-service use across the organisation.
• Experience with a modern BI or reporting tool such as Metabase, Superset, Looker, Sigma, or Lightdash, including dashboards used by non-technical users.
• Comfort with container basics, scheduled jobs, secrets management, and core AWS, Azure, or GCP services.
• Clear written communication and the ability to document pipelines and metric definitions for technical and business users.
• Sound judgement about when to seek direction and when to make decisions independently.
• A relevant tertiary qualification or equivalent experience.

Nice to have

• Experience using AI or LLM tools for data enrichment, documentation, or analytical support.
• Experience with CRM and accounting systems such as Salesforce, HubSpot, or NetSuite.
• Familiarity with the professional AV industry or hardware-software businesses selling through an OEM channel.

Culture & Benefits

• Full-time role within a diverse, values-based culture focused on Excellence, Courage, Integrity, Innovation, and Teamwork.
• Hybrid working with 2 days per week in the office and home office support.
• Competitive salary, annual bonus, and equity incentive plan.
• Volunteering leave and other employee benefits.

Hiring process

• Submit a CV and cover letter when applying.