Senior Data Engineer (Python)

We are:
Wizeline, a global AI-native technology solutions provider, develops cutting-edge, AI-powered digital products and platforms. We partner with clients to leverage data and AI, accelerating market entry and driving business transformation. As a global community of innovators, we foster a culture of growth, collaboration, and impact.

With the right people and the right ideas, there’s no limit to what we can achieve

Are you a fit?
Sounds awesome, right? Now, let’s make sure you’re a good fit for the role:

Key Responsibilities:

• Design, build, and document automated solutions to detect changes in lists of goods from various sources, formats, and languages.
• Develop automated extraction processes to capture relevant data, transform it into deduplicated and standardized datasets, and prepare it for ingestion in a predetermined format.
• Implement automated validation and quality checks to ensure the accuracy and integrity of large datasets.
• Collaborate with subject matter experts and data teams to identify and troubleshoot suspect data results.
• Write clean, readable code and create complex, optimized SQL queries to efficiently manage large datasets.

Must-have Skills:

• Strong programming skills in Python.
• Experience in ETL pipelines.
• Understanding of workflow orchestration using Airflow.

Nice-to-have:

• AI Tooling Proficiency: Leverage one or more AI tools to optimize and augment day-to-day work, including drafting, analysis, research, or process automation. Provide recommendations on effective AI use and identify opportunities to streamline workflows.
• Experience working with Snowflake or equivalent (e.g., BigQuery, Vertica, Teradata).
• Experience in Data Analysis.
• Familiarity with DBT.

What we offer:

• A High-Impact Environment
• Commitment to Professional Development
• Flexible and Collaborative Culture
• Global Opportunities
• Vibrant Community
• Total Rewards

*Specific benefits are determined by the employment type and location.

Find out more about our culture here.