Senior Data Engineer

About the Role

As a Senior Data Engineer, you will be part of a cross-functional development team engineering experiences of tomorrow. This is an ideal role for professionals passionate about data, innovation, and working in a dynamic, international environment.

Responsibilities

• Build and prototype scalable data pipelines and develop new API integrations to handle increasing data volume and complexity.
• Write reusable, testable, and efficient Python code for data ingestion and integration.
• Use SQL and Python to analyze data and derive insights in collaboration with business stakeholders.
• Work on multiple projects simultaneously, adapting to shifting priorities in a fast-paced environment.
• Apply creative problem-solving approaches to complex data challenges, continuously improving data strategies and execution.
• Contribute to design, code, configurations, and documentation for components managing data ingestion, real-time streaming, batch processing, ETL, and data storage.
• Help maintain and improve engineering infrastructure, identifying and addressing gaps to boost platform quality, robustness, maintainability, and performance.
• Collaborate with engineering teams to ensure solutions meet functional, performance, availability, scalability, and reliability standards.
• Perform development, QA, and DevOps tasks as needed to ensure end-to-end ownership of solutions.
• Work closely with business analysts and data scientists to support their use cases.
• Participate in team and unit activities, contribute to community building, and represent the company in conferences and best practice initiatives.
• Support sales activities, customer engagements, and digital services.
• Understand and contribute to cloud infrastructure design and implementation.

Requirements

• Proven experience as a data engineer or in a similar role focused on data integration and management.
• Strong programming skills in Python, including working with APIs and automation.
• Solid foundation in SQL and relational database design.
• Excellent problem-solving skills with an algorithmic mindset.
• Strong communication skills and ability to collaborate in a team-oriented environment.
• Experience building and maintaining robust, scalable data pipelines.
• Hands-on experience with batch and streaming data processing systems.
• Familiarity with best practices in software development, including documentation, testing, and performance optimization.
• Demonstrated ability to work independently and take initiative in high-impact projects.
• Understanding of cloud infrastructure and deployment.

Desirable

• Experience with cloud platforms (e.g., AWS, Google Cloud Platform, Azure).
• Knowledge of data warehousing concepts and ETL methodologies.
• Familiarity with version control tools such as Git.