Data Engineer (Remote - EU)

Medium; España; A distancia; EUR 60.000 - 80.000; Jornada completa

Descripción de la vacante

A technology company is seeking a Data Engineer to shape and evolve a modern, cloud-based data platform. You will design and implement data products, optimize ETL pipelines, and enhance data governance. The ideal candidate should have significant experience with AWS technologies and programming skills in Python and SQL. This role offers a remote-first work environment, flexible hours, and opportunities for professional growth.

Servicios

Flexible working hours

Professional growth opportunities

Inclusive work environment

Formación

• 4+ years of experience in data engineering with ownership of complex data systems.
• Understanding of data mesh principles and decentralized data architecture.
• Experience with workflow orchestration tools.

Responsabilidades

• Design and implement a data mesh architecture.
• Build and maintain AWS-based data lake solutions.
• Develop, optimize, and maintain ETL/ELT pipelines.

Conocimientos

AWS data lake technologies

Python

SQL

Data modeling

Communications skills

Educación

Bachelor's degree in Computer Science, Mathematics, or related

Herramientas

AWS Glue

Airflow

Terraform

Kafka

Descripción del empleo

Overview

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Engineer in European Union.

As a Data Engineer, you will play a key role in shaping and evolving a modern, cloud-based data platform. You will design and implement domain-oriented data products, optimize ETL/ELT pipelines, and ensure scalable, high-performance data processing across multiple teams and applications. Working with cutting-edge AWS technologies, you will help build a robust data lake and support near real-time reporting and analytics. This role offers the opportunity to collaborate with cross-functional teams, contribute to automation and CI/CD practices, and help define the future of a data mesh architecture. You will have a hands-on impact on both infrastructure and data solutions, operating in a fast-paced, innovative, and collaborative environment.

Accountabilities

• Design and implement a data mesh architecture, exposing domain-owned data products through APIs.
• Build and maintain AWS-based data lake solutions using S3, Glue, Lake Formation, Athena, and Redshift.
• Develop, optimize, and maintain ETL/ELT pipelines using AWS Glue and PySpark for batch and streaming workloads.
• Implement AWS DMS pipelines to support near real-time analytics and reporting.
• Collaborate with product, engineering, and analytics teams to deliver robust, reusable data solutions.
• Ensure data governance, quality, observability, and API best practices are followed.
• Contribute to automation, CI/CD, and infrastructure-as-code practices.
• Stay current with emerging technologies and industry trends to evolve the data platform.

Requirements

• Bachelor’s degree in Computer Science, Mathematics, or related technical field.
• 4+ years of experience in data engineering with ownership of complex data systems.
• Hands-on experience with AWS data lake technologies (S3, Glue, Lake Formation, Athena, Redshift).
• Understanding of data mesh principles and decentralized data architecture.
• Strong programming skills in Python and SQL.
• Experience with data modeling, workflow orchestration tools (e.g., Airflow), and CI/CD pipelines.
• Excellent communication and collaboration skills.
• Preferred: Master’s degree, infrastructure-as-code tools (Terraform, CloudFormation), event-driven architectures (Kafka, Kinesis), data cataloging and metadata management, knowledge of GDPR/HIPAA, agile and DevOps practices.

Benefits

• Remote-first work environment within the European Union.
• Flexible working hours and collaborative, innovative team culture.
• Exposure to cutting-edge cloud data technologies and large-scale data systems.
• Opportunities for professional growth, training, and skill development.
• Participation in shaping and evolving a modern data platform with a data mesh architecture.
• Inclusive and diverse work environment with a focus on employee well-being.