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.
What will you do as mid-level Analytics Engineer
Do you get energy from turning complex regulatory definitions into clean, trusted datasets that stand up to audits and pressure from regulatory deadlines Are you the kind of person who appreciates a well-structured data model, clear lineage, and tests that catch issues before Finance or Risk Management does
Great! Come strengthen our regulatory and risk management data products as a mid-level Analytics Engineer. In this role, you'll help build and maintain the data model for our regulatory reporting and risk management datasets. You'll translate regulatory and risk definitions into robust DBT models on Azure Databricks, and make sure our gold datasets are consistent, well-documented, tested and audit-ready.
Your Key Activities And 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, traceability and semantic clarity across all layers
- Translate regulatory and risk definitions into clear, consistent data logic in close collaboration with engineers, analysts and product owners
- Implement robust testing, documentation and validation practices to ensure data sets are reliable and audit-ready
- Contribute to data modelling best practices, including improving reusable logic, preventing duplication and documentation
- Be proactive in issue analysis and issue resolution in collaboration with stakeholders
You'll join our Data & AI team in Bangkok. We are a growing group of data engineers, analytics engineers and information analysts located in both Amsterdam and Bangkok who like to build valuable things, keep things practical, and help each other out.
What You'll Receive From Us
- A pleasant salary
- A provident fund
- Medical and life insurance
- Fourteen days of paid leave, excluding Thai public holidays
- Weekly lunch and sports
- Room to develop yourself, including training budget and autonomy to improve how we work
- A high-ownership role in a fintech, where banking and payments are mission-critical
- Close collaboration with data, engineering and business teams across Bangkok and Amsterdam
- A Bangkok-based role with structured travel to Amsterdam for alignment and team connection
- Compensation and local benefits to be discussed
Who are you
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 withasolid business sense.
Furthermore, you
- are a strong analytical problem solver with high attention to detail
- are a collaborative team player, comfortable working with business stakeholders
- have a solid understanding of data warehousing concepts (bronze/silver/gold)
- have experience building and testing structured data models
- have experience building automated data quality tests
- are comfortable working with structured financial and risk datasets
- have strong SQL skills
- are proficient in Git and disciplined version control practices
- have experience working with a cloud data platform (Azure Databricks or comparable)
- have experience building data models with dbt
- are based in Bangkok or are willing to move there
Nice-to-haves
- Experience infinancial,risk, andregulatory reporting inbanking
- Ability to deliver data requirements, ontologiesand insights
- Fluency in English
- 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.
