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Data Engineer (Snowflake, dbt, Azure)

Remote, Barcelona·Added 3 months ago (last checked 26 Oct)

Our summary

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

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Skills

This job advert was originally written in Spanish.

Requirements

What we're looking for

• Experience of between 2 and 5 years as a Data Engineer.

• Experience in design and implementation of ETL / ELT pipelines.

• Demonstrable experience mainly in Snowflake, dbt and Azure Data Factory (ADF).

Nice to have

• Valuable experience in the use of AI in the development cycle.

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 3 Data Engineer profiles to participate in the development and evolution of a modern data architecture based on Cloud technologies.

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

• Design, develop and maintain data pipelines using Azure Data Factory and dbt.

• Implement data transformation and modeling processes in Snowflake.

• Guarantee data quality, traceability and reliability.

• Apply good practices in data engineering, testing and documentation.

• Participate in the continuous evolution and optimization of the corporate data platform.

• Collaborate with business, analytics and data architecture teams.

• Contribute to the automation and monitoring of data integration and transformation processes.

BENEFITS

Discover this offer and many more on our Careers Page. 🚀

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