Job Description

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.

Responsibilities

Snowflake 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 Requirements

Experience

• 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