Data Engineer

This is a fully remote position, open to applicants in Philippines.

📋 Description

• Design, develop, and maintain ETL/ELT pipelines for both structured and unstructured datasets.

• Analyze and process customer, operational, and financial transaction data.

• Create scalable data workflows and reusable scripts to facilitate automation and reporting.

• Manage data models, metric definitions, and documentation related to analytics.

• Enhance SQL queries to boost data processing performance and reliability.

• Incorporate external data sources, such as ABS and Census datasets, into existing databases.

• Provide support for cloud-based data platforms and contemporary data lakehouse environments.

• Develop dashboards and reports for both internal and external stakeholders.

• Convert business requirements into actionable analytics and reporting solutions.

• Assist in tracking KPIs, operational reporting, and analyzing customer behavior.

• Aid in identifying trends, anomalies, and opportunities through data-driven insights.

• Collaborate with engineers, analysts, and stakeholders within agile environments.

• Engage in planning, testing, debugging, and deployment processes.

• Offer suggestions to enhance workflows, system reliability, and engineering processes.

• Adapt swiftly to changing priorities and evolving business requirements.

• Assist in the development of reusable templates, modular scripts, and data engineering best practices.

• Support other engineering or analytics projects as necessary.

• Identify avenues for process, system, and performance improvements.

• Contribute to a collaborative and high-performing team culture.

• Help maintain standards for data quality, governance, and documentation.

⛳️ Requirements

• 1–3 years of experience in data engineering, analytics, or software engineering.

• Strong comprehension of data pipelines, databases, and reporting systems.

• Practical experience with SQL, Python, and data transformation workflows.

• Familiarity with cloud platforms such as AWS, GCP, or Azure.

• Exposure to modern data platforms including Databricks, Snowflake, Airflow, or DBT.

• Experience with dashboards and reporting tools such as Power BI or similar BI platforms.

• Excellent problem-solving and analytical thinking abilities.

• Capability to quickly learn new technologies and adjust to changing environments.

• Comfort working in agile, fast-paced, and collaborative teams.

• Experience in fintech, payments, financial systems, or large-scale datasets is a plus, but not mandatory.

🏝️ Benefits

• Health insurance

• Internet allowance

• KPI incentive program

• Fortnightly virtual happy hour

• Annual group offsites