Data Engineer

Satellite Office; Taguig; On-site; PHP 400,000 - 600,000; Full time

Job summary

A growing data-driven window furnishings company is seeking an Analytics Engineer to optimize data pipelines and ensure actionable business metrics. Collaborate closely with teams to define key metrics while enjoying generous leave, extra team days off, and a supportive culture.

Benefits

Generous Leave Entitlements

Wellbeing Leave

Balanced Work Schedule

Extra RDOs

Weekly Team Lunches

Quarterly Team Events

Flexible Work Options

Collaborative & Supportive Culture

Qualifications

• 3+ years experience in Analytics Engineering, Data Engineering, or BI Engineering.
• Strong SQL skills and experience with data modelling.
• Hand-on experience with dbt, SQLMesh, or similar.

Responsibilities

• Design & build data pipelines to ingest, transform, and model data efficiently.
• Collaborate with stakeholders to understand reporting needs and define clear KPIs.
• Optimize data models for performance, scalability, and cost efficiency.

Skills

SQL

Data modelling

Data governance

Communication

Education

3+ years in Analytics Engineering

Tools

dbt

SQLMesh

Cube

LookML

ETL

Airflow

Job description

A growing Window Furnishings company that relies on data to drive key decisions. We are looking for an Analytics Engineer to design, build, and optimize our data pipelines and semantic layer, ensuring our teams have reliable, well-defined business metrics at their fingertips. You will work closely with software developers, analysts, and business stakeholders to define core metrics, transform raw data into useful models.

What You’ll Do

• Design & build robust data pipelines to ingest, transform, and model data efficiently.
• Develop and maintain a semantic layer to define consistent, reusable business metrics.
  
• Implement SQLMesh (or dbt) for transformation workflows and data versioning.
• Work with Cube (or similar) to create performant, queryable metrics for dashboards and applications.
• Collaborate with stakeholders to understand reporting needs and define clear KPIs.
• Optimize data models for performance, scalability, and cost efficiency.
• Ensure data governance and quality by implementing testing, monitoring, and documentation.
• Integrate data from multiple sources into our Redshift data warehouse.
• Improve query performance and ensure real-time analytics capabilities as needed.

What We’re Looking For

• 3+ years of experience in Analytics Engineering, Data Engineering, or BI Engineering.
• Strong SQL skills and experience with data modelling (Star/Snowflake schema).
• Hands-on experience with dbt, SQLMesh, or similar transformation frameworks.
• Knowledge of Cube, LookML, MetricFlow, or other semantic layer tools.
• Experience working with data warehouses (BigQuery, Snowflake, Redshift, etc.).
• Familiarity with ETL/ELT processes and workflow orchestration (Airflow, Dagster).
• Strong understanding of data governance, testing, and version control (e.g., CI/CD for data).
• Ability to work closely with business teams to define meaningful and actionable metrics.
• Excellent communication skills and a passion for scalable, high-quality data systems.

Nice to Have

• Experience with streaming data pipelines (Kafka, Flink, etc.)
• Familiarity with Python for data engineering
• Experience with data visualization tools (Metabase, Tableau, Power BI, Looker)

About our Client
Our client is an Australian window furnishings company with roots in Melbourne and a presence across Australia. They work on a variety of projects ranging from high end homes to large-scale commercial projects and pride themselves on delivering high-quality, design-led solutions. They're a fast-growing, collaborative team that values creativity, efficiency, and getting the job done — all while having a bit of fun along the way.

Why join our Client?

• Generous Leave Entitlements – Enjoy 25 days of personal leave per year, empowering you to maintain a healthy work-life balance.

• Wellbeing Leave – 5 days of additional leave that accrues over time, giving you the flexibility to prioritize your mental and physical health.

• Balanced Work Schedule – Enjoy an 8 hour standard shift, including a 30-minute break, for a structured yet flexible day.

• Extra RDOs – Benefit from 4 additional paid days off each year, scheduled in months without public holidays, so you can unwind and recharge.

• Weekly Team Lunches – Connect with your colleagues over a delicious, company-funded meal every week.

• Quarterly Team Events – Bond with your team through exciting activities like dinners, laser tag, ice skating, and more.

• Flexible Work Options – Tailor your work schedule to fit your personal and professional life seamlessly.

• Collaborative & Supportive Culture – Thrive in an environment that values teamwork, innovation, and mutual growth.