Data Engineer

Philippines
Contract
Full-time

2 months ago

Job Title: Data EngineerLocation: Remote (Philippines)Employment Type: Full-Time ContractorAbout MuvrMuvr is an innovative logistics and marketplace platform that connects customers with reliable movers and delivery professionals—think Uber or Grab for logistics. From same-day deliveries to full-service relocations, we're scaling rapidly and need data-driven insights to power intelligent decision-making across every part of the business.About the RoleWe're seeking a Data Engineer to build and optimize our data infrastructure, pipelines, and tooling to support analytics, reporting, machine learning, and real-time decision systems. You'll be at the core of our data stack—designing systems to collect, clean, transform, and serve mission-critical data across teams.This role will also leverage AI-driven tools for faster development, pipeline optimization, anomaly detection, and documentation. Your work will power everything from real-time logistics decisions to partner dashboards, investor metrics, and ML models.Key Responsibilities

Design, build, and maintain scalable ETL/ELT data pipelines from multiple sources (app databases, APIs, third-party tools, logs).

Develop and manage a modern data warehouse or lakehouse architecture (e.g., BigQuery, Snowflake, Redshift, or Delta Lake).

Create efficient, version-controlled data models and schemas (using dbt, Airflow, or similar).

Automate data validation, anomaly detection, and pipeline monitoring using AI and analytics platforms.

Collaborate with analytics, engineering, operations, and product teams to ensure clean, reliable data for decision-making.

Integrate structured and unstructured data from APIs, apps, marketing platforms (e.g., GA4, HubSpot), and logistics sources.

Implement best practices for data governance, access control, logging, and cost optimization.

Use AI tools (e.g., GPT for SQL generation, automated data mapping, schema inference, and documentation writing) to accelerate output.

Maintain and scale real-time or batch data feeds powering internal dashboards, marketplace insights, and operational alerts.

Document pipelines, data dictionaries, and lineage with tools like DataHub, OpenMetadata, or similar.

Qualifications

3+ years of experience as a Data Engineer or equivalent role in a fast-paced, tech-driven environment

Experience with modern data stacks: SQL, Python, Airflow, dbt, Kafka, Snowflake, Redshift, BigQuery, or equivalent

Familiarity with data warehousing principles, star/snowflake schema modeling, and data APIs

Solid understanding of data privacy, security, and compliance standards (GDPR, SOC2, etc.)

Hands-on experience with CI/CD for data pipelines and version control for SQL/ELT workflows

Bonus: Experience supporting ML pipelines or working with MLOps teams

Bonus: Familiarity with tools like Looker, Metabase, Tableau, Superset, or AI-enhanced analytics platforms

Strong communication and documentation skills—ability to explain data concepts clearly to non-technical teams

Why Join Muvr?

Shape the data foundation of a fast-scaling logistics marketplace

Work with modern tools and bring AI into everyday data engineering workflows

Collaborate with cross-functional teams in a data-first company

High impact, high autonomy, high-growth environment

Remote-first and execution-focused culture

Muvr

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