Software Engineer, Data Acquisition - Paris/London

About Mistral

- At Mistral AI, we are a tight-knit, nimble team dedicated to bringing our cutting-edge AI technology to the world.

- Our mission is to make AI ubiquitous and open.

- We are creative, low-ego, team-spirited, and have been passionate about AI for years.

- We hire people that foster in competitive environments, because they find them more fun to work in.

- We hire passionate women and men from all over the world.

- Our teams are distributed between France, UK and USA

Role Summary

- We are seeking a skilled and motivated Web Crawling and Data Indexing Engineer to join our dynamic engineering team.

- The ideal candidate will have a strong background in web scraping, data extraction and indexing, with a focus on leveraging advanced tools and technologies to gather and process large-scale data from various web sources.

- The role is based in Paris or London

Key Responsibilities

- Develop and maintain web crawlers using Python libraries such as Beautiful Soup to extract data from target websites.

- Utilize headless browsing techniques, such as Chrome DevTools, to automate and optimize data collection processes.

- Collaborate with cross-functional teams to identify, scrape, and integrate data from APIs to support business objectives.

- Create and implement efficient parsing patterns using regular expressions, XPaths, and CSS selectors to ensure accurate data extraction.

- Design and manage distributed job queues using technologies such as Redis, Kubernetes, and Postgres to handle large-scale data processing tasks.

- Develop strategies to monitor and ensure data quality, accuracy, and integrity throughout the crawling and indexing process.

- Continuously improve and optimize existing web crawling infrastructure to maximize efficiency and adapt to new challenges.

Qualifications & profile

- Bachelor’s or master’s degree in computer science, information systems, or information technology

- Strong understanding of web technologies, data structures, and algorithms.

- They should have knowledge of database management systems and data warehousing.

- Programming Languages: Proficiency in programming languages such as Python, Java, or C++ is essential.

- Masterings of Web Technologies: Understanding of HTML, CSS, and JavaScript is crucial to navigate and scrape data from websites.

- Knowledge of HTTP and HTTPS protocols

- A good understanding of data structures (like queues, stacks, and hash maps) and algorithms is necessary

- Knowledge of databases (SQL or NoSQL) is important to store and manage the crawled data.

- Understanding distributed systems and technologies like Hadoop or SparkExperience using web Scraping Libraries and Frameworks like Scrapy, BeautifulSoup, Selenium, or MechanicalSoup

- Understanding how search engines work and how to optimize web crawling.

- Experience in Machine Learning to improve the efficiency and accuracy of web crawling

- Familiar with tools such as Pandas, NumPy, and Matplotlib to analyze and visualize data.

Benefits

- Daily lunch vouchers

- Contribution to a Gympass subscription

- Monthly contribution to a mobility pass

- Full health insurance for you and your family

- Generous parental leave policy