Data Engineer — Hybrid, Build Scalable Data Pipelines

HN Services España; Madrid; Hybrid; EUR 60,000 - 90,000; Full time

Benefits offered by this job

Career plan tailored to employee

Progression within the company

Flexible working hours

Job summary

HN Services España in Madrid is seeking a Data Engineer to join a stable, international project. You will contribute to production support and maintenance of the DataHub, resolve data incidents, and develop scalable data pipelines using Scala, Spark, and cloud storage.

You will work on data modeling, ETL processes, and ensure data quality and security while implementing CI/CD pipelines and testing. The role offers flexible hours and a hybrid work model in Madrid.

Qualifications

• Experience with Spark on Scala and large-scale data pipelines.
• Solid knowledge of Hadoop and HDFS with SQL databases.
• Experience with cloud object storage and data virtualization (Dremio).
• Familiarity with SDLC and Agile ceremonies.

Responsibilities

• Contribute to production support and maintenance of the DataHub.
• Develop scalable data pipelines and perform data transformations.
• Ensure data quality, security, and performance of the data infrastructure.
• Configure CI/CD pipelines and write tests.
• Migrate Hadoop to cloud-based, containerized environments.

Skills

Spark Scala

HDFS

SQL

Hadoop

S3 COS

Shell scripting

SDLC awareness

Agile

Dremio

English B2

Tools

Airflow

Kubernetes Engine

COS

Job description

HN Services España in Madrid is seeking a Data Engineer to join a stable, international project. You will contribute to production support and maintenance of the DataHub, resolve data incidents, and develop scalable data pipelines using Scala, Spark, and cloud storage.

You will work on data modeling, ETL processes, and ensure data quality and security while implementing CI/CD pipelines and testing. The role offers flexible hours and a hybrid work model in Madrid.