Job Description

At Nord Security, we’re creating a safer cyber future.

We help people and businesses take back control of their online security, privacy, and data. From VPNs to password managers, threat intelligence to eSIMs for travel—our teams turn complex problems into solutions trusted by millions worldwide.

Life is online. In this role, you’ll help people own it.

Design and implement data transformation workflows using dbt to create reusable, analysis/chatbot-ready data assets aligned with business requirements.
Collaborate with stakeholders to gather data and analytics needs, translating them into technical specifications and scalable data models.
Work closely with data engineers to build efficient, scalable, and reliable data models and pipelines for current and future use cases.
Implement data quality checks and monitoring processes to ensure data accuracy, consistency, and completeness.
Promote and support the adoption of software engineering best practices in analytics, including version control, code reviews, and automated testing to ensure code quality and readability.
Document data transformations and implement best practices.

Requirements

Proven experience in Analytics Engineering or a similar role;
Strong SQL skills, with the ability to write clear, maintainable, and efficient queries;
Experience working with cloud data warehouses (e.g., BigQuery, Snowflake);
Hands-on experience with dbt as a transformation tool for building analytics workflows using SQL;
Knowledge of ETL tools (Airflow, Fivetran, etc.);
Solid understanding of data modeling and data transformation techniques;
Excellent written and spoken English communication skills;
Strong problem-solving mindset and the ability to work independently while managing multiple priorities.

Nice to have