Senior Data Engineer

Cushman & Wakefield; Madrid; Presencial; EUR 40.000 - 60.000; Jornada completa

Descripción de la vacante

A global real estate services firm in Madrid is seeking a Data Engineer to design and deliver scalable data solutions. The role involves building ETL processes, optimizing data pipelines, and ensuring data quality. Candidates should have at least 4 years of experience, a solid understanding of SQL and Python, and hands-on experience with Azure. This full-time position offers an exciting opportunity to turn data into business value.

Formación

• Minimum 4 years of experience in data engineering or data analysis.
• Excellent command of English both written and spoken.
• Familiarity with Data Management practices including Data Governance.

Responsabilidades

• Analyze, organize, and model complex datasets for data ingestion.
• Build and maintain stable automated data ingestion pipelines.
• Work closely with stakeholders to deliver cloud data solutions.

Conocimientos

SQL

Python

PySpark

Data Management

Big Data

Educación

Academic-level education in relevant field

Herramientas

Azure

Microsoft Fabric

Databricks

Apache Hive

Hadoop

AWS

Descripción del empleo

Overview

Join our team as a Data Engineer and play a key role in designing and delivering reliable, efficient and scalable data solutions. We're looking for someone with strong technical expertise, a hands-on mindset and a passion for turning data into business value.

Job Description

As a Data Engineer you will:

• Analyze, organize, and model complex datasets in preparation for data lineage and ingestion
• Design robust ETL solutions tailored to business needs and current technology trends
• Build, implement, and optimize data pipelines for transactional, geospatial, and client data
• Monitor and report on data quality, proposing improvements where needed
• Work closely with stakeholders across the business to deliver custom cloud data solutions

Your Top Responsibilities

• Translate business requirements into effective ETL designs
• Build and maintain stable automated data ingestion pipelines
• Create data marts to ensure accessible, well-structured data for various use cases

Requirements

• Minimum 4 years of experience in data engineering or data analysis
• Academic-level education and relevant work experience
• Excellent command of English both written and spoken
• Proficiency in SQL, Python, and PySpark
• Hands-on experience with Azure, Microsoft Fabric, and Databricks
• Ability to work effectively in cross-functional teams
• Familiarity with Data Management practices including Data Governance and Data Observability
• Experience with big geospatial data (preferred)

Key Skills

Apache Hive, S3, Hadoop, Redshift, Spark, AWS, Apache Pig, NoSQL, Big Data, Data Warehouse, Kafka, Scala

Employment Type: Full-Time

Experience: years

Vacancy: 1

Senior Data Engineer

Location: Madrid, Madrid, Spain