As an analytics engineer in the regulatory reporting and data platform teams of our data engineering tribe you play a crucial role in owning our data stack and delivering effective data models. You will be instrumental in building and maintaining robust data pipelines making critical and reliable data available to various stakeholders throughout the company and contributing to our data-driven culture.
- Shape the data coming from a mixture of internal services into consistent conformed models and then further transform this data to serve specific teams and use cases.
- Prepare and clean structured and unstructured data and develop high-quality data models for reporting purposes
- Extend our AWS-based lakehouse by integrating data and building regulatory use cases to empower various teams in decision-making drive innovation optimise performance and ensure compliance.
- Design and implement data testing and monitoring to ensure the accuracy reliability and performance of data pipelines.
- Collaborate closely with highly ambitious and skilled people in our growing data teams as well as product & engineering colleagues to release smart features for our products
- Maintain trustworthy documentation and data catalogues to ensure clarity accessibility and correct governance of the data on our platform.
- Assist colleagues with understanding the data landscape resolving problems and accessing data as needed.
- Stay up to date with the latest industry developments in data modelling and share your expertise best practices within the company
Qualifications :
- University degree in computer science mathematics natural sciences or a similar field
- Significant knowledge and experience in designing and building data models for business analysis and regulatory purposes.
- Experience of working with cloud-based data lake services and an understanding of data lake concepts. Specific understanding of AWS and Athena is a plus.
- Excellent SQL skills including advanced concepts such as window functions and an ability to optimise for performance while building queries. Experience with dbt or similar frameworks is essential.
- Ability to work with Python (particularly data handling packages) is desirable.
- Ability to work with version control and CI/CD as part of a robust and controlled development lifecycle.
- Understanding of the needs of working in a tightly-governed and regulated environment.
- Strong problem-solving and organizational skills
- Interest in financial services and markets ideally with previous working experience in this domain and an understanding of how to model business concepts in financial services in data.
- Fluent English communication and presentation skills
Additional Information :
- Be part of one of the fastest-growing and most visible Fintech startups in Europe creating innovative services that have a substantial impact on the lives of our customers
- Work with an international diverse inclusive and ever-growing team that loves creating the best products for our clients
- Be productive with the latest hardware and tools
- Learn and grow by joining our in-house knowledge sharing or career development sessions and spending your individual Education Budget
- Learn and experience German culture first hand by joining our free German language classes
- International relocation support is provided if required
- Flexible vacation policy and the opportunity to work from abroad
- Benefit from an attractive compensation package and from the company pension scheme
- Monthly contribution of 50% for the Deutschland Jobticket
- Say goodbye to order commissions and say hello to your complimentary subscription of Scalable Capitals PRIME Broker
- Enjoy flexible and discounted sports activities with Urban Sports Club
Remote Work :
No
Employment Type :
Full-time
As an analytics engineer in the regulatory reporting and data platform teams of our data engineering tribe you play a crucial role in owning our data stack and delivering effective data models. You will be instrumental in building and maintaining robust data pipelines making critical and reliable da...
As an analytics engineer in the regulatory reporting and data platform teams of our data engineering tribe you play a crucial role in owning our data stack and delivering effective data models. You will be instrumental in building and maintaining robust data pipelines making critical and reliable data available to various stakeholders throughout the company and contributing to our data-driven culture.
- Shape the data coming from a mixture of internal services into consistent conformed models and then further transform this data to serve specific teams and use cases.
- Prepare and clean structured and unstructured data and develop high-quality data models for reporting purposes
- Extend our AWS-based lakehouse by integrating data and building regulatory use cases to empower various teams in decision-making drive innovation optimise performance and ensure compliance.
- Design and implement data testing and monitoring to ensure the accuracy reliability and performance of data pipelines.
- Collaborate closely with highly ambitious and skilled people in our growing data teams as well as product & engineering colleagues to release smart features for our products
- Maintain trustworthy documentation and data catalogues to ensure clarity accessibility and correct governance of the data on our platform.
- Assist colleagues with understanding the data landscape resolving problems and accessing data as needed.
- Stay up to date with the latest industry developments in data modelling and share your expertise best practices within the company
Qualifications :
- University degree in computer science mathematics natural sciences or a similar field
- Significant knowledge and experience in designing and building data models for business analysis and regulatory purposes.
- Experience of working with cloud-based data lake services and an understanding of data lake concepts. Specific understanding of AWS and Athena is a plus.
- Excellent SQL skills including advanced concepts such as window functions and an ability to optimise for performance while building queries. Experience with dbt or similar frameworks is essential.
- Ability to work with Python (particularly data handling packages) is desirable.
- Ability to work with version control and CI/CD as part of a robust and controlled development lifecycle.
- Understanding of the needs of working in a tightly-governed and regulated environment.
- Strong problem-solving and organizational skills
- Interest in financial services and markets ideally with previous working experience in this domain and an understanding of how to model business concepts in financial services in data.
- Fluent English communication and presentation skills
Additional Information :
- Be part of one of the fastest-growing and most visible Fintech startups in Europe creating innovative services that have a substantial impact on the lives of our customers
- Work with an international diverse inclusive and ever-growing team that loves creating the best products for our clients
- Be productive with the latest hardware and tools
- Learn and grow by joining our in-house knowledge sharing or career development sessions and spending your individual Education Budget
- Learn and experience German culture first hand by joining our free German language classes
- International relocation support is provided if required
- Flexible vacation policy and the opportunity to work from abroad
- Benefit from an attractive compensation package and from the company pension scheme
- Monthly contribution of 50% for the Deutschland Jobticket
- Say goodbye to order commissions and say hello to your complimentary subscription of Scalable Capitals PRIME Broker
- Enjoy flexible and discounted sports activities with Urban Sports Club
Remote Work :
No
Employment Type :
Full-time
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