Data Engineer

Antal International; Sabadell; Presencial; EUR 40.000 - 55.000; Jornada completa

Descripción de la vacante

A data solutions company in Sabadell is seeking a Data Engineer to manage data pipelines, ensuring data accessibility and quality. Responsibilities include developing models, optimizing databases, and cloud integration. The ideal candidate has an academic background in Computer Science and experience with cloud platforms and data orchestration tools. Benefits include ongoing training and impactful projects.

Servicios

Opportunity to work on impactful projects

Access to modern technologies

Ongoing training and career development

Formación

• Proven experience in data engineering, preferably in cloud environments.
• Understanding of IT infrastructure and basic coding practices (soft coding).

Responsabilidades

• Identify, evaluate, and integrate suitable data sources for business needs.
• Design and automate data collection and transformation workflows.
• Ensure data integrity and quality by implementing cleansing processes.
• Develop and maintain database models for various data.
• Perform maintenance, monitoring, and performance tuning of databases.
• Implement cloud-based data solutions focusing on security.
• Collaborate with analysts and scientists to translate data requirements.

Conocimientos

Data engineering

Cloud platforms

Relational databases

Non-relational databases

Data orchestration tools

CI/CD tools

Intermediate English

Educación

Academic background in Computer Science, Engineering, Mathematics, or related scientific disciplines

Herramientas

Azure

AWS

GCP

Azure Data Factory

Apache Airflow

Git

Azure DevOps

Descripción del empleo

The Data Engineer will be responsible for collecting, transforming, and storing data to ensure it is accessible, reliable, and secure. This role plays a key part in supporting data-driven decision-making by maintaining high-quality data pipelines and infrastructure.

Key Responsibilities

Data Acquisition : Identify, evaluate, and integrate the most suitable data sources for business and operational needs.

Pipeline Development : Design and automate data collection and transformation workflows using modern orchestration tools.

Data Cleaning : Ensure data integrity and quality by implementing cleansing and validation processes to prevent analytical misinterpretations.

Data Modeling : Develop and maintain logical and physical database models for both structured and unstructured data.

Database Optimization : Perform routine maintenance, monitoring, and performance tuning of company databases to ensure efficiency and scalability.

Cloud Integration : Implement cloud-based data solutions with a focus on availability, scalability, and security.

Collaboration : Work closely with data analysts, scientists, and other stakeholders to understand data requirements and translate them into scalable solutions.

Qualifications & Skills

Education & Experience :

Academic background in Computer Science, Engineering, Mathematics, or related scientific disciplines.

Proven experience in data engineering, preferably in cloud environments.

Technical Skills :

Proficiency in working with relational and non-relational databases.

Experience with cloud platforms (e.g., Azure, AWS, or GCP) and data orchestration tools (e.g., Azure Data Factory, Apache Airflow).

Familiarity with CI / CD tools and version control systems (e.g., Git, Azure DevOps).

Understanding of IT infrastructure and basic coding practices (soft coding).

Languages :

Intermediate level of English (spoken and written) required.

Benefits :

Opportunity to work on impactful projects in a dynamic and collaborative environment.

Access to modern technologies and cloud platforms.

Ongoing training and career development.

Check Your Resume for Match

Upload your resume and our tool will compare it to the requirements for this job like recruiters do.