Data Engineer

About Us

Love, Bonito is a digital-first company on a mission to empower the everyday Asian woman and inspire self-confidence. We are Southeast Asia’s leading womenswear brand, headquartered in Singapore, with an omnichannel presence across Hong Kong SAR China, Indonesia, Malaysia and a retail franchise in Cambodia. In addition, we have also expanded into international markets namely the Philippines and the United States of America.

Founded in 2010, we are proudly female-founded with more than 65% female representation in leadership roles (#girlpower!). We raised a US$50M Series C round in 2021 and know that we’re on the cusp of something great, where we’re working towards becoming the most thoughtful brand globally, for the Asian female consumer, especially when it comes to our products, community and experiences.

There’s a lot more work to be done with all of our exciting plans. So we’re looking to team up with people who are wildly passionate about making an impact and be part of a dynamic team, in a workplace with no corporate BS (yes, you read that right!).

About the Role

We are looking for a Data Engineer to join our team and help build, maintain, and optimise our data pipelines. In this role, you will work closely with fellow data engineers, data analysts, data scientists, and product and engineering team to ensure efficient data flow, storage, and transformation. This is a great opportunity for someone passionate about data infrastructure, ETL pipelines, and cloud technologies to grow their skills in a fast-paced environment.

Accountabilities

• Develop, develop and maintain, ETLpipelines for efficient data processing and integration
• Ensure data quality, reliability, and integrity throughout all data processes
• Create and maintain data models that support analytics, reporting, and machine learning needs
• Support the development of RESTful APIs for ML model serving
• Collaborate with data analysts, scientists, and relevant business stakeholders to understand data requirements and deliver scalable solutions
• Maintain data security, governance, and compliance standards
• Support visualisation tools (Tableau, Metabase)
• Troubleshoot pipeline failures and implement preventative measures
• Document comprehensive data flows, transformations, and technical processes
• Experienced in building dashboard using various tools (Tableau, Metabase)

Critical success factors & key challenges (KPIs)

• Data Pipeline SLA Adherence – 99.9%+ uptime target for data services
• Data Quality and Accuracy (%) – Ensuring transformation correctness and data integrity
• Pipeline Reliability (%) – Minimizing failed job runs and errors
• Resource Efficiency ($) - Optimising runtime costs and processing speed

Requirements

Knowledge, experience & capabilities

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 3-4 years data engineering experience
• Proficiency in SQL and big data systems like (Hadoop, Hive, Apache Spark, etc.)
• Strong programming skills in Python, PySpark, Scala
• Experience with data lakehouse architecture and Delta Lake concepts
• Strong problem-solving skills and attention to detail
• Advantageous to have knowledge of: 
• Databricks
• Cloud data warehouses (AWS Redshift/GCP Big Query)
• AWS/GCP Cloud Services
• Containerisation (Docker)
• Data Build Tool
• CI/CD practices for data pipelines
• Realtime data streaming 

Benefits

1. Flexible Work Arrangement

• Hybrid work and adjustable hours - as long as present during our core working hours

2. Staff Wellness

• Comprehensive corporate insurance (Fully covered visits at our panel clinics, maternity reimbursement etc)

3. Learning and Career Development

• Learning and development (i.e. subscription plans to best-in-class resources, personal development fund etc)
• Dedicated leadership training for those of managerial responsibilities
• Friday pm off for learning

4. #TeamLB perks

• Generous staff discount off LB products
• Corporate partnerships with a variety of companies
• Welcome to #TeamLB swag and store gift cards (get your LB work outfit on us!)
• Employee driven peer-to-peer recognition platform to honour and celebrate everyday achievements