Algoan is a Fintech founded in 2018 that transforms the way credit decisions are made through its scoring and budget analysis solutions based on Open Banking. Our API-based products enable financial institutions to optimize their decision-making processes by analyzing the banking data of loan applicants.
As a European leader in this field we collaborate with major players (Sofinco Cofidis Revolut etc.) to enhance user experience and acceptance rates while reducing the risk of over-indebtedness across various use cases (installment payments consumer credit car financing etc.). Algoan strives to make credit more accessible to a broader audience with security and compliance at the heart of its priorities.
Key figures:
- We are a team of 30 people.
- We have raised over 10 million.
- Our API is available in 6 European countries.
- We are ISO 27001 certified and regulated by the ACPR.
- Our data stack: Our core technologies include MongoDB DataFlow BigQuery dbt Python and git.
Tasks
As a Data Engineer Intern your responsibilities will focus on the following:
- Understanding needs: Work closely with the Data Science Product and Business teams to fully understand data analysis requirements and use cases.
- ETL pipeline deployment: Adjust data ingestion and transformation processes based on identified needs in collaboration with the TechOps team.
- Optimization: Optimize pipelines to improve performance and minimize execution costs in collaboration with the TechOps team.
- Monitoring: Enhance existing tests and alerts to monitor pipeline performance. React promptly to anomalies to correct and secure pipelines in collaboration with the TechOps team.
Requirements
Are you in the final year of your Masters degree Engineering school or equivalent specializing in data If the following describes you get in touch with us:
- You have strong proficiency in Python;
- You have solid knowledge of databases and SQL queries;
- You know how to use git;
- Bonus: Youve already worked on GCP (DataFlow/BigQuery) used Terraform or dbt.
Algoan is a Fintech founded in 2018 that transforms the way credit decisions are made through its scoring and budget analysis solutions based on Open Banking. Our API-based products enable financial institutions to optimize their decision-making processes by analyzing the banking data of loan applic...
Algoan is a Fintech founded in 2018 that transforms the way credit decisions are made through its scoring and budget analysis solutions based on Open Banking. Our API-based products enable financial institutions to optimize their decision-making processes by analyzing the banking data of loan applicants.
As a European leader in this field we collaborate with major players (Sofinco Cofidis Revolut etc.) to enhance user experience and acceptance rates while reducing the risk of over-indebtedness across various use cases (installment payments consumer credit car financing etc.). Algoan strives to make credit more accessible to a broader audience with security and compliance at the heart of its priorities.
Key figures:
- We are a team of 30 people.
- We have raised over 10 million.
- Our API is available in 6 European countries.
- We are ISO 27001 certified and regulated by the ACPR.
- Our data stack: Our core technologies include MongoDB DataFlow BigQuery dbt Python and git.
Tasks
As a Data Engineer Intern your responsibilities will focus on the following:
- Understanding needs: Work closely with the Data Science Product and Business teams to fully understand data analysis requirements and use cases.
- ETL pipeline deployment: Adjust data ingestion and transformation processes based on identified needs in collaboration with the TechOps team.
- Optimization: Optimize pipelines to improve performance and minimize execution costs in collaboration with the TechOps team.
- Monitoring: Enhance existing tests and alerts to monitor pipeline performance. React promptly to anomalies to correct and secure pipelines in collaboration with the TechOps team.
Requirements
Are you in the final year of your Masters degree Engineering school or equivalent specializing in data If the following describes you get in touch with us:
- You have strong proficiency in Python;
- You have solid knowledge of databases and SQL queries;
- You know how to use git;
- Bonus: Youve already worked on GCP (DataFlow/BigQuery) used Terraform or dbt.
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