At Regnology our greatest asset is our people. We value diversity and foster an inclusive environment that supports learning, safety, and growth. By investing in our team, listening to customers, and encouraging creativity, we drive continuous innovation and improvement.
We offer a flexible, innovative environment where your ideas matter and your career can thrive.
Regnology is a global leader in regulatory reporting, helping financial institutions, regulators, and tax authorities improve data quality, efficiency, and cost savings. Our mission: to safeguard financial markets through smarter, future-ready solutions.

What you’ll do:

You will help build and industrialize a next-generation Data Architecture platform focused on regulatory data, governance, validation, and migration readiness.
Your responsibilities will include:
- Building scalable data pipelines and execution components.
- Developing governed transformation, validation, and reconciliation workflows.
- Contributing to multi-engine execution capabilities.
- Designing data models, mappings, and quality controls.




- Collaborating with Product, Architecture, and Engineering teams on platform evolution.
- Supporting customer onboarding, migration readiness, and data quality assessment.
- Improving observability, testing, performance, and governance across the platform.
- Contributing to AI-assisted and agentic engineering workflows.

Why we should decide on you:
- 7+ years of experience in Data Engineering or related roles.
- Python, FastAPI, Pandas, Iceberg, Parquet, Spark, Great Expectations, React, PostgreSQL, Docker, Airflow, and AI-assisted engineering tooling.
- Degree in Computer Science, Engineering, or a related field.
- Solid analytical and problem-solving skills.
- Comfortable working with complex and governed datasets.
- Collaborative mindset with strong communication skills.
- Interest in data governance, platform engineering, and AI-assisted development.
- Experience in financial services or Re

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