Data Engineering - Intern

Key responsibilities

• Data strategy: Co-define a strategy to acquire and enrich data at scale from heterogeneous sources.
• Data pipeline: Design, implement, automate and monitor new data ingestion pipelines. Fusion multiple data sources and enrich this data using AI. Ensure data quality, consistency, and security across the platform.
• Matching: Implement a research / recommendation engine for our platform.
• Product development: Explore new product opportunities and features (AI, automation…) with the product and business team.
• Project management: Run project monitoring, analytics and reports.

What we are looking for

• Pursuing a degree in Computer Science, Data Science, or a related field.
• Strong analytical skills and data-driven thinking
• Perfectly fluent in English (French is a plus)
• Demonstrating team spirit & great communication skills
• Problem-solver mindset with a deep understanding of the business stakes
• Humble and curious with a big appetite to learn, discover and experiment new things
• Experience with data transformation, database & data warehouse

At Sesamers, we are on a mission to empower the European Tech. We are helping startups be successful and connecting the world’s innovation through tech events and digital experiences. We are a rapidly growing startup and want to accelerate our expansion.

• Ambition. Join us to transform the innovation landscape in Europe
• Opportunity and impact. Because we’re still a small team, you have a lot of room to experiment. You’ll be free to contribute to the processes, the tools and the organization of the team.
• International reach. Our audience is widely international, and our team is too. Although our HQ is located in France, our company language is English

Women and people from minority backgrounds tend to only apply to positions where they meet 100% of the criteria. If you think you have what it takes to be a good candidate for this position, we encourage you to apply even if you don't meet all formal criteria.

• Hiring manager interview with the CPO
• Data Engineering test
• Call with another founder