Senior Analytics Engineer

il y a 3 jours


Paris, France Didomi Temps plein

We are seeking a highly skilled and experienced **Senior Analytics Engineer** to join our team. This pivotal role sits at the intersection of data analysis and data engineering, leveraging software engineering best practices to deliver reliable, scalable, and easy-to-use data models and analytics solutions.

**Responsibilities**:

- **Data Modeling & Transformation**: Design, build, and maintain production-grade, tested, and well-documented data models using **dbt** in **Snowflake**.
- ** SQL Mastery & Optimization**: Write, optimize, and refactor complex **SQL** to ensure data quality, integrity, and performance across all models.
- ** Pipeline & Orchestration**: Build and maintain basic **Airflow DAGs** to schedule and orchestrate dbt runs and simple data workflows.
- ** Light Engineering**: Develop simple data ingestion or processing scripts using **Python** (e.g., using Polars or DuckDB) for specialized data preparation.
- ** BI & Stakeholder Enablement**: Design and maintain high-impact dashboards and reports in **Sigma** to track KPIs. Translate complex business needs into technical specifications and data models.

**Qualifications**:

- ** Experience**: Minimum of 5 years in a data-focused role, with proven experience as an Analytics Engineer or similar data modeling/transformation role.
- ** Core Technical Stack**: Mastery of **SQL** and **dbt** for production data modeling. Deep experience with **Snowflake** or a similar cloud data warehouse.
- ** Analytics Tooling**: Expertise in **Sigma** or any modern dataviz tool for visualization and reporting, and hands-on experience with **Airflow** for orchestration. Some experience with Salesforce data is nice to have.
- ** Programming**: Proficiency in **Python** for scripting and light data manipulation.
- ** Soft Skills**: Excellent communication and collaboration skills, with the ability to clearly explain complex topics to non-technical stakeholders.

**Our Technology Stack**

We process billions of events every day. Our data team relies heavily on **Snowflake**, **dbt**, and **Fivetran** for a modern ELT architecture. Our pipelines are orchestrated via **Airflow**, and our code and CI are managed in **Gitlab**. **Sigma is ourchosen BI platform**for empowering the business and our customers with data.

**Our Vision as a Team**

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.


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