Data engineer / Analytics engineer

Thailand·Bangkokmid

Data EngineerData

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Quick Summary

Key Responsibilities

Design, develop and maintain data models on Azure Databricks using dbt and SQL Build high-quality regulatory and risk datasets in the gold layer, ensuring consistency,

Requirements Summary

research shows that women and members of underrepresented groups often only apply if they meet 100% of the requirements. Does this sound familiar? If so, we encourage you to apply anyway.

Technical Tools

Data EngineerData

Brand New Day is strengthening its data foundation to better support Finance, Risk, and Regulatory Reporting. With a robust cloud data platform already in place, we’re looking for an experienced Analytics Engineer to accelerate the delivery of reliable, high-quality data products.

We are building a BCBS 239-compliant data warehouse that will serve as the single source of truth for regulatory reporting and risk management. If you enjoy translating complex regulatory definitions into clean, dependable data models and want to work on datasets that directly impact financial governance, this is your opportunity to make a measurable impact within our growing Data & AI team.

Responsibilities

~2 min read

You are an engineer-minded data professional who likes precision and clarity. You’re comfortable owning a slice of the transformation layer end-to-end: from understanding the definition to shipping tested models and explaining outcomes to Finance/Risk. You bring a blend of analytical and technical problem-solving skills with a solid business sense.

Furthermore, you

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are a strong analytical problem solver with high attention to detail
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are a collaborative team player, comfortable working with business stakeholders
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have a solid understanding of data warehousing concepts (bronze/silver/gold)
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have experience building and testing structured data models
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have experience building automated data quality tests
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are comfortable working with structured financial and risk datasets
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have strong SQL skills
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are proficient in Git and disciplined version control practices
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have experience working with a cloud data platform (Azure Databricks or comparable)
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have experience building data models with dbt
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are based in Bangkok or are willing to move there

Nice-to-haves:

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Experience in financial, risk, and regulatory reporting in banking 
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Ability to deliver data requirements, ontologies and insights  
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Fluency in English
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Experience in an international scale-up or fast-growing environment

We don’t expect you to tick every box. But if this feels like you, we’d love to meet you!

And one more thing: research shows that women and members of underrepresented groups often only apply if they meet 100% of the requirements. Does this sound familiar? If so, we encourage you to apply anyway. We look forward to meeting you. Check out our diversity policy here.