GRIT Trainee, Finance Data (Analytics)

Grab; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

A leading Southeast Asian technology firm is seeking a Finance Data Trainee to work on data models and pipelines. You will gain hands-on experience with dbt and Spark while collaborating with Finance teams to ensure data quality. The role involves migrating data models and validating financial metrics over a 6-month full-time contract in Singapore.

Benefits

Comprehensive Medical Insurance

Flexible Work Arrangements

Community Involvement

Leave Entitlement

Qualifications

• Knowledge of practical data warehousing concepts.
• Ability to build modular ELT with dbt and Spark.
• Proficiency in SQL techniques for processing data.

Responsibilities

• Contributing to the migration of existing data pipelines to dbt and Spark.
• Writing and reviewing SQL for data transformations.
• Performing validation and reconciliation of financial metrics.

Skills

Practical data warehousing concepts

Building modular ELT with dbt and Spark

SQL techniques for analytics engineering

Data validation and observability practices

Workflow orchestration fundamentals with Airflow

Tools

dbt

Spark

SQL

Airflow

Job description

Company Description

About Grab and Our Workplace

Grab is Southeast Asia's leading superapp. From getting your favourite meals delivered to helping you manage your finances and getting around town hassle-free, we've got your back with everything. In Grab, purpose gives us joy and habits build excellence, while harnessing the power of Technology and AI to deliver the mission of driving Southeast Asia forward by economically empowering everyone, with heart, hunger, honour, and humility.

Job Description

Get to Know the Role

This role sits within Grab's Analytics organisation on the Finance Data team. The trainee will work on the Finance Data Warehouse (FDW), which powers company-wide financial metrics and reporting.

You'll gain hands-on experience building reliable data models and pipelines, supporting a migration project using dbt and Spark, and collaborating with Finance and Analytics stakeholders to deliver trusted, production-ready data.

This is a 6 months full-time onsite role based in Singapore as part of the GRIT Programme.

The Critical Tasks You Will Perform

The trainee will be involved in the following areas:

• Contributing to the migration of existing data pipelines and models to dbt and Spark within the FDW.
• Writing and reviewing SQL to understand, refactor, and optimize data transformations.
• Performing data validation and reconciliation of key financial metrics.
• Improving code quality (tests, refactoring, documentation).
• Assisting with workflow orchestration (e.g., Airflow DAG updates, job monitoring, alert handling)

Qualifications

What Essential Skills You Will Need

1. Practical data warehousing concepts.
2. Building modular ELT with dbt (models, macros, tests, documentation) and Spark (performance considerations).
3. SQL techniques for analytics engineering (CTEs, window functions, optimization).
4. Data validation and observability practices (testing strategies, lineage awareness, monitoring & alerting).
5. Workflow orchestration fundamentals with Airflow.

Additional Information

Life at Grab

We care about your well-being at Grab, here are some of the global benefits we offer our Interns:

• Comprehensive Medical Insurance: We got you covered with medical insurance plans.
• Leave Entitlement: Enjoy a range of leave options including Annual Leave, Medical Leave, and Hospitalization Leave.
• Flexible Work Arrangements: Benefit from a flexible work schedule that allows you to balance your academic commitments and personal life.
• Community Involvement: Get involved in community service through Love-all-Serve-all (LASA) programs.
• Balancing personal commitments and life's demands are made easier with our FlexWork arrangements such as differentiated hours

What We Stand For At Grab

We are committed to building an inclusive and equitable workplace that enables diverse Grabbers to grow and perform at their best. As an equal opportunity employer, we consider all candidates fairly and equally regardless of nationality, ethnicity, religion, age, gender identity, sexual orientation, family commitments, physical and mental impairments or disabilities, and other attributes that make them unique