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Best Spanish-speaking freelance Data Engineers to hire in 2025

Looking to hire Spanish-speaking Data Engineers for your next project? Browse the world’s best freelance Data Engineers on Contra.

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Logo for Wix StudioLogo for RiveLogo for WebstudioLogo for GlorifyLogo for JitterLogo for FlutterFlowLogo for PeachWebLogo for CanvaLogo for Lottie FilesLogo for Workshop BuiltLogo for BuildshipLogo for AppsumoLogo for FramerLogo for BarrelLogo for BubbleLogo for LummiLogo for WebflowLogo for GrayscaleLogo for Stride UXLogo for InstantLogo for SplineLogo for KittlLogo for RelumeLogo for HeyGenLogo for Replo
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Data Engineer(1)
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Paolo Perrone
Italy
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Data Engineer(4)
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Juan Brekes
A Coruña, Spain
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Data Engineer(2)
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Data Engineer(2)
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Salif C.
Harlow, UK
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Data Engineer(2)

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Explore projects by Spanish-speaking Data Engineers on Contra

Cover image for Find your next opportunity in AI/ML
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20

Find your next opportunity in AI/ML

Cover image for Automated Data Scraping Solution - Con Edison
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9

Automated Data Scraping Solution - Con Edison

Cover image for Sports Betting Recommender System
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12

Sports Betting Recommender System

Cover image for The journey from the data warehouse to the Modern Data Stack
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The journey from the data warehouse to the Modern Data Stack

Cover image for The Three Layers of the Modern Data Stack
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The Three Layers of the Modern Data Stack

Cover image for  Essential Tools for Data Fluency
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23

Essential Tools for Data Fluency

Cover image for Navigating the Data Chaos A Guide for Non-Technical Founders
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21

Navigating the Data Chaos A Guide for Non-Technical Founders

Cover image for Data Processing & Product Recommendation System
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0

Data Processing & Product Recommendation System

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Blum Gallery - Tokyo, New York, LA

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SCOULED EDUCATION

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4

BCPlusNews

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2

Airplane data automation

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2

Quarterly report automation

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3

PDF data extraction

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0

Public Transport visualization

Cover image for Advanced Web Analytics and Tag Management Solution
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0

Advanced Web Analytics and Tag Management Solution

Cover image for Customer Data Platform (CDP) Implementation + MarTech Use Cases
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Customer Data Platform (CDP) Implementation + MarTech Use Cases

Cover image for Invoice Parsing System using Google Document AI and BigQuery
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Invoice Parsing System using Google Document AI and BigQuery

Cover image for Web Scrapping and Alert System With AWS and Airflow
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Web Scrapping and Alert System With AWS and Airflow

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BiblioGraph | EBSCO

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Inclusive Guide

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10minclimate.com

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Toolio platform for Private AI/Large Language Model Agents

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CLI Postgres Tool Written in Python

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Data Analytics Platform

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Data Analytics Platform

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Data Analytics Platform

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Customizable BI for Recruitment Marketing

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2

SaaS Product Development - Education Sector

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UBS Web Automation Developer

Cover image for ETL Processing On Google Cloud Using Dataflow and Big Query
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ETL Processing On Google Cloud Using Dataflow and Big Query

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Dashboard Migration

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Google Data Pipeline

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Enhanced Agile Progress Dashboard for IT Teams

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Sample Dashboard for Market Research Client

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Covid-19 Interactive Dashboard for Los Angeles

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Lost Keys Infographic

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Covid-19 Country Comparison

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L.A. Fires Interactive Power BI Dashboard

Cover image for Movie Retrieval System using NLP Models
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Movie Retrieval System using NLP Models

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LANGUAGE TRANSLATION USING SEQ2SEQ LEARNING

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Digit Recognition with ML

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CPG : B2B Commerce with Salesforce, Adyen PSP

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Automotive : B2B Marketplace with Salesforce

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Development of RAG with LLM for Enhanced Information Access

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Real-Time Fraud Detection Architecture for Banking Transactions

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Architect & Senior Full Stack Developer

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Senior Full Stack Developer

Top services from Spanish-speaking Data Engineers on Contra

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FAQs

When defining the deliverables for a data engineering project, consider the project's scope, including the specific data pipelines, integrations, and tools needed. Clarify the expected outcomes, such as optimized data workflows, data migration completion, or setting up data infrastructure. Additionally, outline any relevant timelines and milestones to ensure a clear understanding between you and the freelancer.
To ensure a smooth onboarding process, clearly document your project requirements and expectations, including any technical specifications and business objectives. Provide access to necessary data sources and platforms, and schedule an initial meeting to discuss the project's goals, timelines, and any potential challenges. This will help align both parties and foster a collaborative working relationship from the start.
To set appropriate milestones, break down the project into smaller, achievable tasks that cover the main phases of data engineering, such as data collection, storage, processing, and analysis. Each milestone should have a specific objective and deadline. Regularly review progress with the freelancer to ensure that all tasks are on track and to address any potential issues early in the process, making adjustments to deadlines or requirements if necessary.
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