Data Engineer – Powering Data-Driven Decisions

Approach People Recruitment; Madrid; Híbrido; EUR 48.000 - 80.000; Jornada completa

Descripción de la vacante

Approach People Recruitment is seeking a Data Engineer to design and optimize data pipelines that feed analytics and ML initiatives. You will work with Spark, Hadoop, and Databricks to ensure scalable, reliable data flows.

Responsibilities include building data lakes and warehouses, collaborating with data scientists, and upholding GDPR and data governance standards across the data estate.

Formación

• Degree in Computer Science, Mathematics, or related field.
• 4+ years in data engineering.
• Fluency in Spanish and English.

Responsabilidades

• 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 GDPR compliance and data governance best practices.

Conocimientos

Python

SQL

Spark

Data governance

Educación

Degree in Computer Science, Mathematics, or related field

Herramientas

AWS Glue

Azure Data Factory

GCP Dataflow

Snowflake

Descripción del empleo

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.