Swan is looking for its first Data Analytic Engineer to join its new Data team, which includes Romain, our VP of Data, Antoine, our Data Engineer and Yujun, our Data Analyst.
As the first Data Analytic Engineer at Swan, you will have a high-impact and high-exposure role within the organization. Your responsibilities will include collecting, processing, and analyzing data to provide insights and recommendations that drive business growth.
This is an exciting opportunity to join a dynamic and growing team and make a significant impact on the future success of Swan.

✨ Responsibilities

• Develop and maintain ETL pipelines to ensure optimal data flow

• Create and maintain data warehouses and date marts

• Organize information to be directly accessible and usable by data analysts, business users and financial regulators, guaranteeing high data quality

• Work with analysts and product managers to identify and implement the most effective data models

• Develop data models and visualizations to help stakeholders understand and interpret data

• Keep up to date with the latest technologies and trends in data analysis and engineering

✨ You’re a great match if:

• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Statistics, or related field

• You should have a minimum of 4/5 years of experience as Data Analytic Engineer or Data Engineer

• You have strong knowledge of SQL and Python and have expertise in data modeling.

• Experience with ETL tools and data warehousing

• Ideally experience in Airflow and DBT

• Excellent problem-solving and analytical skills

• Good communication and collaboration skills

• A commitment to team spirit, transparency, and trustworthiness is important, as we value a collaborative and supportive company culture.

• Autonomy, a “Can-do” spirit, and the ability to take initiative and ownership of your work are required.

• Passion, curiosity, and the capacity to learn quickly are important, as we are constantly exploring new technologies and approaches to improve our work.

• Good working abilities in English

• Our ideal teammate: Sociable. Skilled. Empathetic. Frank. We love to challenge each other, and we leave our egos at the door

Our ideal teammate: Empathetic. Skilled. Frank. We love to challenge each other, and we leave our egos at the door.

It’s okay if you don’t tick all the boxes — don’t let imposter syndrome prevent you from applying! 🙌

• A 30-min video call with our Talent Acquisition Manager, to get to know you, understand your career expectations and answer your questions

• An interview with Antoine, our Data Engineer

• A case study and an interview with Romain, our VP Data