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

• Data Migration and Pipeline Development
• Data Modeling and Transformation
• Troubleshooting and Optimization
• Collaboration and Documentation

Must-have Skills:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field.
• 3+ years of experience in data engineering, with a focus on building and maintaining scalable data pipelines.
• Solid experience with data migration projects and working with large datasets.
• Strong hands-on experience with Snowflake, including data loading, querying, and performance optimization.
• Proficiency in dbt (data build tool) for data transformation and modeling.
• Proven experience with Apache Airflow for scheduling and orchestrating data workflows.
• Expert-level SQL skills, including complex joins, window functions, and performance tuning.
• Proficiency in Python for data manipulation, scripting, and automation for edge cases
• Familiarity with PySpark, AWS Athena, and Google BigQuery (source systems).
• Understanding of data warehousing concepts, dimensional modeling, and ELT principles.
• Knowledge of building CI/CD pipelines for code deployment
• Experience with version control systems (e.g., Github).
• Excellent problem-solving, analytical, and communication skills.
• Ability to work independently and as part of a collaborative team in an agile environment.
• Must speak and write in English fluently; Effective communicator

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. 

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.