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Data Engineer Snowflake

Remote, Madrid·Added 11 days ago (last checked 26 Oct)

Logicalis Spain

58 open roles

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Our summary

Work mode: Remote (Madrid)
Contract: Permanent
Benefits: Private health insurance, flexible pay plan, meal vouchers, gym access

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Skills

Nice to have

This job advert was originally written in Spanish.

Requirements

What we're looking for

Minimum 2-3 years of experience as a Data Engineer.
Relevant experience with Snowflake.
Proficiency in SQL.
Experience in Python and knowledge of Spark (Databricks or other environments).
Experience in data modeling and ingestion/transformation processes.

Nice to have

Experience in any cloud environment (Azure, AWS, or GCP) is highly valued.
Knowledge of tools such as Databricks, dbt, Airflow, etc. is valued.

Pay & benefits

What you'll get

> Immediate start with a leading company in the IT sector with a high degree of expertise in the Data & Analytics area, where we are in the midst of an expansion process.

> Job stability through an indefinite contract with wide opportunities for professional development and growth within the company.

> 100% remote working modality.

> Very competitive salary package in accordance with the candidate's value.

> Possibility of accessing flexible compensation plans (restaurant card, transport card, and childcare card).

> Medical insurance and GYMPASS.

> Training plans adapted to each profile (technical courses, official certifications, language training...).

> Special discount portal for employees.

> Good working environment and a very collaborative setting.

The role

At Logicalis Spain we are looking for a Data Engineer Snowflake profile with an open, curious, and learning-oriented mindset. We are not just looking for experience: we are looking for attitude, versatility, and a desire to evolve.

The Data & AI team at Logicalis works with national and international clients, carrying out major projects in data engineering, artificial intelligence, and advanced analytics, data strategy, governance, integration, and architecture, covering the entire data lifecycle.

What you'll do

Working with Snowflake as the central piece of the ecosystem.
Designing and developing scalable data pipelines in Cloud environments (Azure, AWS, or GCP).
Integrating and transforming data using modern ELT/ETL tools.
Participating in end-to-end advanced analytics projects.
Collaborating with multidisciplinary teams (architecture, BI, data science...).
Exploring and incorporating new technologies according to client needs.

REQUIREMENTS

Above all, we are looking for someone versatile and resourceful, who is not afraid to step out of their comfort zone, with curiosity to learn new tools and paradigms and with the ability to adapt to different technological environments.