> Markdown version of [/jobs/ext/4695810-data-engineer-powering-data-driven-decisions](https://www.wearedevelopers.com/jobs/ext/4695810-data-engineer-powering-data-driven-decisions). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Data Engineer - Powering Data-Driven Decisions

- **Company:** Approach People Recruitment
- **Location:** Madrid, Spain (Remote available)
- **Contract:** Permanent contract
- **Skills:** Big Data, BigQuery, Information Engineering, Data Governance, Extract Transform Load (ETL), Apache Hadoop, Data Intelligence, Python (Programming Language), Machine Learning, SQL Databases, Cloud Platform System, Azure Data Factory, Snowflake, Apache Spark, Information Technology, AWS Glue, Data Analytics, Data Pipelines, Apache Beam, Amazon Redshift, Databricks
- **Published:** November 13, 2026
- **Apply:** https://www.jobleads.com/es/job/data-engineer-powering-data-driven-decisions--madrid--eb3183ce1fbab60a2767aadbaf81629d2

## About the Role

Experience Required: 4+ years in data engineering
Languages: Spanish & English
Qualification: Degree in Computer Science, Mathematics, or related field, * 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.

## Description

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.