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Data Engineer (Senior) ID40199

AgileEngine

Torremolinos

Híbrido

EUR 50.000 - 70.000

Jornada completa

Hoy
Sé de los primeros/as/es en solicitar esta vacante

Descripción de la vacante

A leading software development company in Torremolinos is seeking a Senior Data Engineer. You will own the data infrastructure, using AWS and big data technologies like Hadoop and Spark. Ideal candidates have over 5 years of experience, strong data engineering skills, and will enjoy flexible work arrangements. Join a people-first culture committed to professional growth.

Servicios

Professional growth opportunities
Competitive compensation in USD
Exciting project selection
Flextime for work-life balance

Formación

  • 5+ years of experience in data engineering, software engineering, or related roles.
  • Strong hands-on expertise with AWS services (S3, EMR, Glue, Lambda, Redshift, etc.).
  • Deep knowledge of big data ecosystems, including Hadoop and Apache Spark.

Responsabilidades

  • Design, build, and maintain large-scale data pipelines and data processing systems in AWS.
  • Develop and optimize distributed data workflows using Hadoop, Spark, and related technologies.
  • Collaborate with data scientists, analysts, and product teams to deliver reliable and efficient data solutions.

Conocimientos

AWS services
Hadoop
Apache Spark
SQL
Python
Java
Scala
Airflow
Data modeling
ETL/ELT processes
Data warehousing

Educación

Bachelor’s or Master’s degree in Computer Science, Engineering, or related field

Herramientas

HDFS
Hive
MapReduce
Kafka
Kinesis
Docker
Kubernetes
Descripción del empleo
Overview

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.

Why join us

If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!

About the role

We are looking for a Senior Data Engineer to take ownership of our data infrastructure, designing and optimizing high-performance, scalable solutions. You’ll work with AWS and big data frameworks like Hadoop and Spark to drive impactful data initiatives across the company.

What you will do
  • Design, build, and maintain large-scale data pipelines and data processing systems in AWS;
  • Develop and optimize distributed data workflows using Hadoop, Spark, and related technologies;
  • Collaborate with data scientists, analysts, and product teams to deliver reliable and efficient data solutions;
  • Implement best practices for data governance, security, and compliance;
  • Monitor, troubleshoot, and improve the performance of data systems and pipelines;
  • Mentor junior engineers and contribute to building a culture of technical excellence;
  • Evaluate and recommend new tools, frameworks, and approaches for data engineering.
MUST HAVES
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field;
  • 5+ years of experience in data engineering, software engineering, or related roles;
  • Strong hands-on expertise with AWS services (S3, EMR, Glue, Lambda, Redshift, etc.);
  • Deep knowledge of big data ecosystems, including Hadoop (HDFS, Hive, MapReduce) and Apache Spark (PySpark, Spark SQL, streaming);
  • Strong SQL skills and experience with relational and NoSQL databases;
  • Proficiency in Python, Java, or Scala for data processing and automation;
  • Experience with workflow orchestration tools (Airflow, Step Functions, etc.);
  • Solid understanding of data modeling, ETL/ELT processes, and data warehousing concepts;
  • Excellent problem-solving skills and ability to work in fast-paced environments;
  • Ability to work in German TimeZone (6:00–7:00 am to 2:00–3:00 pm Brazil/ ART time);
  • Upper-Intermediate English level.
NICE TO HAVES
  • Experience with real-time data streaming platforms (Kafka, Kinesis, Flink);
  • Knowledge of containerization and orchestration (Docker, Kubernetes);
  • Familiarity with data governance, lineage, and catalog tools;
  • Previous leadership or mentoring experience.
PERKS AND BENEFITS
  • Professional growth: Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps.
  • Competitive compensation: We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities.
  • A selection of exciting projects: Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands.
  • Flextime: Tailor your schedule for an optimal work-life balance, with options to work from home or in the office.
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