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# Data Engineer

- **Company:** Hiretech
- **Location:** Madrid, Spain
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Amazon Web Services, Data Analysis, Microsoft Azure, Big Data, Cloud Computing, Computer Programming, Databases, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Data Mining, Data Visualization, Data Warehousing, Apache Hadoop, Python (Programming Language), Performance Tuning, Power BI, SQL Databases, Tableau (Software), Apache Spark, Information Technology, Apache Kafka, Data Pipelines
- **Published:** July 20, 2026
- **Apply:** https://www.adzuna.es/contact-us.html

## About the Role

+ Proficiency in programming languages such as Python, SQL, or Java.
 + Experience with big data technologies like Hadoop, Spark, or Kafka.
 + Strong understanding of database systems, data warehousing, and data modeling concepts.
 + Knowledge of cloud platforms such as AWS, GCP, or Azure.
 + Ability to work collaboratively in a team environment and communicate effectively.
 + Problem-solving skills with a keen attention to detail.
 + Bachelor's degree in Computer Science, Engineering, or related field.
 + Experience with data visualization tools like Tableau or Power BI is a plus.

## Description

We are looking for a talented Data Engineer to join Hiretech's team in Madrid. As a Data Engineer, you will play a crucial role in designing, developing, and maintaining our data infrastructure to support various projects and initiatives within the company. This position is vital for ensuring data accuracy, reliability, and accessibility, making it an integral part of our operations.
As a Data Engineer at Hiretech, you will work on diverse projects involving data pipelines, ETL processes, data modeling, and performance optimization. Your contributions will directly impact decision-making processes, product development, and overall business growth. Join us in leveraging data to drive innovation and success in the dynamic field of technology.
Responsibilities:

 + Design and implement scalable data pipelines for processing and analyzing large volumes of data.
 + Develop and maintain ETL processes to ensure efficient data extraction, transformation, and loading.
 + Create and optimize data models for storage and retrieval purposes.
 + Collaborate with cross-functional teams to understand data requirements and deliver solutions accordingly.
 + Monitor data quality, integrity, and performance to identify and resolve issues proactively.
 + Implement data security and privacy measures to protect sensitive information.
 + Conduct data analysis to extract valuable insights and support decision-making processes.
 + Stay updated on industry trends and emerging technologies in the field of data engineering.


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