Data Engineer

1. Design and set up Larusso cloud-based data warehouse (Google BigQuery or equivalent)

2. Create and maintain data pipelines from various sources (Shopee API, offline POS, CRM, Shopify/website)

3. Build and automate ETL/ELT processes using tools like Segment, Airbyte, Fivetran, or custom scripts

4. Work with marketing and leadership teams to structure clean, actionable customer data tables (e.g. customers, transactions, web_events)

5. Ensure data accuracy, timeliness, and reliability across all brands

6. Help integrate with downstream tools like CRM, dashboards, and CDP platforms (e.g. Bloomreach, Algonomy)

Requirements:

1. Proven experience with data engineering, pipelines, or analytics infrastructure
2. Strong command of SQL, Python, and modern data stack tools (dbt, BigQuery, Airflow)
3. Familiarity with retail/e-commerce data structures is a plus (orders, customers, sessions)

Plus: experience with Shopee, Tokopedia, Shopify, Segment, or similar

Larusso Group is a forward thinking Men's Fashion Apparel company established in 1980. With almost 40 years experience in the industry, we boast a total of over 170 offline locations all across Indonesia housing 4 brands; Larusso - our flagship brand, LR2, Caballero by Larusso and Will K Denim.