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Data Engineer Fabric

Remote, Madrid·Added 2 months 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

Azure

This job advert was originally written in Spanish.

Requirements

Nice to have

Experience in projects related to technology, risk, or cybersecurity will be valued.
Having certifications in Fabric, Azure, Power BI or equivalents is valued.
Knowledge of development best practices, testing, documentation and version control is valued.
The ability to understand and relate technological and cybersecurity data 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 work modality, anywhere in Spain.

> 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 specialized in Azure / Fabric environments to join our Data & AI area.

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

Minimum 3 years of experience in data engineering and ETL/ELT process development.
Hands-on experience in Microsoft Fabric or equivalent platforms based on Lakehouse architectures.
Design and implementation of ingestion processes from databases, APIs, files, and other information sources.
Experience in layered architectures (Bronze, Silver, and Gold), incremental loads, historization, deduplication, and reprocessing.
Relational and analytical data modeling.
Use of Git/GitHub and controlled development methodologies.

TECHNICAL SKILLS

Handling of structured and semi-structured data (JSON, CSV, XML).
Azure / Microsoft Fabric environment (Lakehouse, OneLake, Notebooks, Pipelines, Dataflows Gen2, Delta tables and workspace management).
Python, PySpark, Spark SQL and SQL.
Semantic modeling for Power BI.
API consumption and integration.
Data quality, traceability, monitoring, and error management.
Integration of corporate sources via Data Gateway.