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, develop, and maintain scalable data pipelines using ETL/ELT processes.
- Develop and implement data integration workflows to meet operational business needs.
- Write robust scripts and complex SQL queries to extract, transform, and load data from multiple sources.
- Design, optimize, and maintain data pipelines and architectures, ensuring data accessibility, cleanliness, and reliability.
- Contribute to the design and implementation of data warehouse architectures and data lakes.
- Support stream and batch data processing workflows.
- Work with relational and non-relational databases, ensuring efficient design and optimization.
- Apply data modeling techniques to support data consumption and analytics requirements.
- Ensure data quality, consistency, and compliance with data governance and security practices.
- Collaborate with software engineers and data consumers to align data integration workflows with business needs.
- Apply version control and CI/CD principles to support reliable data development and deployment.
Must-have Skills
- At least 4 years of professional experience as a Data Engineer.
- Proven experience designing, building, and maintaining scalable data pipelines and ETL/ELT processes.
- Experience developing data integration workflows and working with multiple data sources.
- Experience designing, optimizing, and maintaining data architectures and pipelines.
- Experience with relational and non-relational database design and optimization.
- Experience with data pipeline orchestration and workflow management.
- Experience with cloud infrastructure and data security and governance best practices.
- Advanced SQL.
- Azure and Databricks.
- Data processing using batch and stream processing paradigms.
- Version control and CI/CD principles.
- Data quality, consistency, and reliability practices.
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.
