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 an 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
Make data analyses, derive insights, and recommend actions to take
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 with a solid 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 in financial, risk, and regulatory reporting in banking
Ability to deliver data requirements, ontologies and 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.
Skills Required
- Strong analytical problem-solving skills and attention to detail
- Collaborative communication with business stakeholders
- Understanding of bronze, silver, and gold data warehousing concepts
- Experience building and testing structured data models
- Experience building automated data quality tests
- Experience working with structured financial and risk datasets
- Strong SQL skills
- Proficiency in Git and disciplined version control practices
- Experience with a cloud data platform such as Azure Databricks
- Experience building data models with dbt
- Based in Bangkok or willing to relocate there
- Experience in financial, risk, and regulatory reporting within banking
- Ability to deliver data requirements, ontologies, and insights
- Fluency in English
- Experience in an international scale-up or fast-growing environment
What We Do
Brand New Day is a Dutch bank focused on investing, saving and building supplementary pensions. It aims to help everyone create an individual pension fund and distinguishes itself through low costs, strong service and an index-investing approach. Founded by Kalo Bagijn and Thierry Schaap, the company operates from Amsterdam as a fintech dedicated to accessible long-term financial planning for customers.
