Data Engineer: Build Scalable Pipelines & Dashboards (Hybrid)

Audinate; Manila; Hybrid; PHP 1,200,000 - 2,400,000; Full time

Benefits offered by this job

Annual bonus

Equity incentive plan

Flexible working (2 days in office)

Job summary

Audinate in Manila is seeking a Data Engineer to turn data into reliable pipelines, models, and dashboards used across Sales, Marketing, Finance, Product, and Strategy. You’ll own end-to-end analytics engineering from ingestion to reporting, working with a senior data scientist and the Data & Insights Manager.

You’ll build robust data products, maintain the data stack, and collaborate across teams. A hybrid setup with in-office days and home office support is offered.

Qualifications

• Proven experience in analytics engineering or data engineering in a B2B tech setting.
• Strong practice of version control, testing, and documentation in workflow.

Responsibilities

• Build and maintain data pipelines for ingestion, transformation, and analysis.
• Develop and manage the modeled data layer for self-serve analytics.
• Create dashboards and reports for Sales, Marketing, Finance, Product and Strategy.
• Collaborate with data scientists to operationalize analyses into data products.
• Handle platform and infra tasks including orchestration, deployment, and data quality checks.
• Contribute to platform roadmap with tooling and modeling recommendations.

Skills

Python

SQL

NoSQL

Analytics engineering

Git

Education

Bachelor’s degree in CS/Engineering/Math/Statistics

Tools

dbt

Airflow

Dagster

Prefect

Snowflake

BigQuery

Databricks

Redshift

Metabase

Superset

Looker

Sigma

Lightdash

Job description

Audinate in Manila is seeking a Data Engineer to turn data into reliable pipelines, models, and dashboards used across Sales, Marketing, Finance, Product, and Strategy. You’ll own end-to-end analytics engineering from ingestion to reporting, working with a senior data scientist and the Data & Insights Manager.

You’ll build robust data products, maintain the data stack, and collaborate across teams. A hybrid setup with in-office days and home office support is offered.