Data Engineer (M/H) - Microfinance
- Develop a data platform with a large volume of data in a modern environment that promotes best practices (GCP, Big Query)
- Putting data at the heart of business and decision-making
- Combining the world of finance and international business with Tech for Good
About our Customer
About Skillink
International microfinance group offering tailor-made financial services to facilitate the activity of entrepreneurs and traders.
Responsibilities
From the Holding company, you will work as part of the data team. Reporting to the Head of Data and working with all business lines, you will have the opportunity to contribute to the development of the data function, by joining a multi-disciplinary team (Data Engineer, Data Analyst, Data Scientist), in particular by guaranteeing :
- The provision of reliable data,
- Proper operation,
- Application of the data governance policy.
As part of the company's digital transformation, at the heart of its development strategy, you will be responsible for :
- Develop the data platform to handle the large volume of data migrating to the company's new environment,
- Diversify the data available by integrating more data sources; guarantee the reliability of the data supply,
- Industrialize the deployment of prediction and recommendation algorithms in collaboration with Data Scientists,
- Build visions of structured data available to Data Analysts and Data Scientists,
- Ensure the maintenance and technical and functional upgrades of tools (ETL, repositories, dataviz, etc.),
- Guarantee the availability and quality of data by applying the correct procedures for data use,
- Raise awareness and share knowledge and developments with other team members.
Profile required
You have an engineering degree (Bac +5) or university diploma, specializing in Data Engineering.
You have at least 5 years' experience using Cloud solutions for data storage and processing (Google, AWS or other). A first experience in banking or microfinance would be a plus. You are used to working with DevOps methodology. You are familiar with various operating systems, particularly Linux. You are familiar with SQL database solutions. You have a sound knowledge of Big Data technologies enabling real-time and batch data processing and manipulation (Hadoop, Spark...).
Open-minded, you demonstrate a good ability to make analysis easy to understand, thanks to clear, convincing arguments.
Fluent English