Data Engineer

Are you ready to join the exciting journey of Tik Tak, leading car solution provider that revolutionizes the mobility habit of mega urbanites?

Tik Tak is Turkey's youngest and fastest-growing car rental & sharing company.

We know the city is full of opportunity, full of excitement, full of life.

For this reason;
We are highlighting Tik Tak as a solution resource in order not to miss a moment in this wide experience pool. We are the new generation transportation brand for the new generation of urban residents, started with a reason for the city to be experienced to the fullest. Tik Tak is the shortest way to get from home to work, from campus to concert.

The city is bustling and lively, just like us. In this direction, our goal is to be an important part of daily mobility in city life.

Our goal is also about freedom, innovation, and dynamism. Our work environment is a dynamic environment that supports innovation, where everyone can contribute with their ideas.

We are looking for a Data Engineer for our rapidly growing teams in this environment.

• Designing and developing data models that support analytics and reporting needs.
• Building and maintaining scalable data pipelines using modern tools such as dbt and Databricks.
• Designing, deploying, and managing data solutions on AWS cloud services
• Collaborating with stakeholders to understand business requirements and translate them into data solutions.
• Working with relational databases such as PostgreSQL
  , optimizing queries and data structures for performance.
• Ensuring high data quality, reliability, and accuracy througheliness, testing, and monitoring.
• Documenting data models and processes to make datasets accessible and user-friendly.
• Troubleshooting and debugging data issues to maintain seamless analytics capabilities.
• 4+ years of experience in data engineering or a related field.
• Strong SQL skills and experience building production-ready datasets.
• Familiarity with modern data stack tools (dbt, Databricks, or Big Query preferred).
• Solid Python programming skills, ideally in a data engineering context.
• Hands-on experience with Apache Airflow for workflow orchestration.
• Experience working in AWS environments (e.g., S3, Redshift, EC2, Lambda, Glue).
• Understanding of data modeling concepts, dimensional design, and best practices.
• Experience designing or maintaining data pipelines with reliability and scalability in mind.
• Ability to translate business requirements into robust, well-documented data solutions.

📈 Stock Options Based On Company Alignment and Performance