Senior Data Analyst-Engineer/Remote

Type: Senior
Languages: English B2-C1 required
Work Model: Remote

Job Description

We are looking for a Data Engineer with a strong focus on analytics and data modeling to join a team that is already well-established in AWS infrastructure and data pipelines.

This role is primarily focused on working in Snowflake, designing data models optimized for analytics and decision-making. The ideal candidate combines data engineering skills with an analytics engineer mindset, understanding both how to build reliable pipelines and how data is used in business contexts.

ResponsibilitiesSnowflake Data Modeling

• Design and structure data models optimized for Snowflake.

• Implement efficient aggregation strategies.

• Optimize models based on performance and engine behavior.

Data Engineering

• Work on existing pipelines ensuring quality and reliability.

• Collaborate with the team to deliver scalable solutions.

• Ensure data consistency and availability for analytics.

Analytics and Business Context

• Understand how data is used across the business.

• Translate analytical requirements into effective data models.

• Act as a bridge between engineering and analytics teams.

Collaboration

• Work alongside infrastructure-focused teams (AWS).

• Align technical solutions with analytical needs.

Technical RequirementsExperience

• 4+ years of experience in Data Engineering or Analytics Engineering.

• Hands-on experience working with Snowflake in production environments.

Data and Modeling

• Strong experience in analytics-focused data modeling.

• Knowledge of:

• Structuring models in Snowflake

• Aggregation strategies

• Query and model performance optimization

Engineering

• Experience working with data pipelines.

• Familiarity with cloud environments (preferably AWS).

• Ability to build reliable and scalable data solutions.

Professional Skills

• Strong analytical thinking and business orientation.

• Ability to translate data into business value.

• Effective communication with technical and non-technical stakeholders.

• Hybrid mindset between engineering and analytics.

Key Differentiators

• Experience as an Analytics Engineer.

• Strong understanding of how data is used in business contexts.

• Ability to balance technical performance with analytical needs.

Languages

English B2-C1 required