Data Engineer

Description

About the role:

We are a Data and innovation team operating under the CTO group. We lead cutting-edge initiatives in data technologies and strategic innovation projects.

Our mission is twofold: explore and implement new technologies, and enrich the company’s internal data assets through smart collection, integration, and automation.

We move fast, work across multiple domains, and maintain a culture that values curiosity, ownership, and impact.

This is an on-site position.

Responsibilities

• Take end-to-end ownership of data pipelines: from extraction (web scraping, APIs), through transformation and orchestration, to delivering accessible and valuable datasets.
• Integrate new and external data sources into the company’s internal platforms.
• Solve real-time issues and optimize pipeline performance through smart automation.
• Collaborate with cross-functional teams to improve access to high-quality, structured data.
• Work on multiple projects simultaneously in a dynamic and agile environment.
• Lead and contribute to early-stage innovation projects directly impacting business strategy.

Requirements

• 2+ years of hands-on Python development (ETL, scripting, automation).
• Strong knowledge of SQL and ability to work independently with relational databases.
• Experience building and maintaining ETL workflows and orchestrating data processes.
• Familiarity with scraping tools/frameworks (e.g., requests, Selenium, BeautifulSoup).
• Ability to manage multiple tasks and projects independently and efficiently.
• A genuine love for technology, a curiosity to explore new tools, and an eagerness to learn.

Advantages

• Experience with modern data platforms such as Snowflake.
• Background in web data extraction and automation.
• Understanding of data warehouse architecture and data quality practices.
• System-level thinking and an innovation-driven mindset.