Data Engineer

Community Of
Municipality of Madrid, Spain
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English, Spanish
Experience level
Senior

Job location

Remote
Municipality of Madrid, Spain

Tech stack

Big Data
Google BigQuery
Information Engineering
Data Governance
ETL
Hadoop
Data Intelligence
Python
Machine Learning
SQL Databases
Cloud Platform System
Azure
Snowflake
Spark
Information Technology
Amazon Web Services (AWS)
Data Analytics
Data Pipelines
Apache Beam
Redshift
Databricks

Requirements

Data Engineer - Powering Data-Driven Decisions Location: Spain (Hybrid/Remote Options) Sector: Data & Analytics Experience Required: 4+ years in data engineering Languages: Spanish & English Qualification: Degree in Computer Science, Mathematics, or related field Position Overview We are searching for a Data Engineer to build and optimize data pipelines, ensuring high-quality, accessible data for analytics and machine learning. Key Responsibilities: Design and implement scalable ETL/ELT pipelines. Manage big data platforms (Spark, Hadoop, Databricks). Build and maintain data lakes and warehouses (Snowflake, BigQuery, Redshift). Collaborate with Data Scientists and Analysts to provide clean, structured data. Ensure compliance with GDPR and data governance best practices. What You Bring: Hands-on experience with Python, SQL, Spark. Strong knowledge of cloud-based data platforms (AWS Glue, Azure Data Factory, GCP Dataflow). Proven track record building real-time and batch data pipelines. Problem-solving skills and a passion for data-driven innovation. What We're Looking For If you are passionate about data and want to shape the backbone of advanced analytics, this role is for you.

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