Senior Analytics Engineer

Datenna is a fast-growing tech scale-up combining cutting-edge OSINT and AI technologies to provide governments with critical insights into China's techno-economic landscape. Our platform transforms open-source intelligence into actionable insights through advanced data processing and analysis.

As an Analytics Engineer, you will be at the forefront of transforming raw data into actionable insights. You'll design and implement efficient data models and pipelines using modern tools like dbt, SQL, and Python. Working closely with stakeholders, you'll ensure data quality and governance while optimizing performance. Your expertise in data warehouses and CI/CD practices will be crucial in building a robust analytics infrastructure that drives decision-making across the organization.

• Design efficient data models using techniques like star schema and snowflake schema for analytics and reporting.
• Develop and maintain data transformation pipelines using dbt, SQL, and Python.
• Implement data quality checks and governance practices.
• Collaborate with stakeholders to understand data requirements and implement solutions.
• Maintain data documentation and catalogs to improve data discoverability.
• Apply software engineering best practices to analytics code.
• Optimize data models and pipelines for performance.

• Bachelor's degree in Computer Science, Engineering, or related field.
• 5+ years of experience in analytics engineering, or data engineering with focus on data modelling and transformation.
• Strong SQL skills and experience with data modeling techniques.
• Proficiency in dbt, Databricks and Python for data transformation.
• Experience with AI coding assistants such as Claude Code or Codex is a plus.
• Strong problem-solving and communication skills.
• Experience with version control systems like Git.
• Experience with CI/CD practices for data pipelines.
• Experience with orchestration frameworks, such as Dagster or Airflow.

We use AI tools extensively to move faster and raise quality, and we focus our human attention on the work where judgment, creativity, and responsibility matter most. We expect every candidate to be comfortable using AI in their day-to-day work in a responsible manner and to continuously look for better ways to apply it.

• Work on globally impactful projects in geopolitical intelligence
• Lead innovation in OSINT and AI technologies
• Competitive compensation and benefits
• Dynamic, international team environment
• Significant growth opportunities in a scale-up

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