Data Engineer

Exactius; Comunidad Valenciana; Presencial; EUR 30.000 - 50.000; Jornada completa

Descripción de la vacante

Join a forward-thinking company that tackles complex digital marketing challenges and drives ambitious growth. As a Data Engineer, you'll design and maintain scalable ETL pipelines, optimize data models, and integrate with third-party APIs. This role offers the opportunity to work remotely from anywhere in the world, providing flexibility and control over your time. You'll have the chance to make a real impact in a high-growth international brand, with responsibilities from day one and a focus on both professional and personal growth. Collaborate with innovative teams and contribute to data-driven decision-making in a vibrant company culture.

Servicios

Flexible hours

Remote work from anywhere

Professional and personal growth opportunities

Great company culture

Formación

• 2+ years as a Data Engineer with strong SQL and data modeling skills.
• Proficient in Python for data processing and API integration.

Responsabilidades

• Design and maintain scalable ETL pipelines for large datasets.
• Integrate with third-party APIs and develop services for data access.

Conocimientos

SQL

Python

Data Warehouse Modeling

API Integration

Git

Docker

Cloud Platforms (GCP, AWS, Azure)

Workflow Orchestration (Airflow)

CI/CD Pipelines

Educación

B.A. / B.Sc. in Industrial / Information Systems Engineering

B.A. / B.Sc. in Computer Science

B.A. / B.Sc. in Statistics

Herramientas

dbt

Airflow

Git

Docker

Descripción del empleo

Exactius works with companies to solve complex digital marketing challenges and achieve ambitious growth goals. We bring executive leadership and cross-functional execution teams that can not only form the strategy but can execute and deliver the result. These teams always include a proven performance marketing CMO, along with campaign and CRM managers, conversion and product managers, data scientists, front / back end developers, and creative teams as necessary. Those teams are supported by a proprietary technology that supports the need for advanced analysis and real-time optimization. Exactius is an extension of your internal teams with one goal in mind: grow faster and be more profitable.

Description

Exactius works with companies to solve complex digital marketing challenges and achieve ambitious growth goals. We bring executive leadership and cross-functional execution teams that can not only form the strategy but can execute and deliver the result. These teams always include a proven performance marketing CMO, along with campaign and CRM managers, conversion and product managers, data scientists, front / back end developers, and creative teams as necessary. Those teams are supported by a proprietary technology that supports the need for advanced analysis and real-time optimization. Exactius is an extension of your internal teams with one goal in mind: grow faster and be more profitable.

Responsibilities

1. Design, build, and maintain scalable ETL pipelines to process and manage large datasets efficiently.
2. Ensure data pipelines are optimized for performance and reliability.
3. Develop and maintain data models using dbt, adhering to best practices in data warehousing.
4. Integrate with third-party APIs and develop services to enable seamless data access.
5. Deploy and scale data infrastructure using cloud platforms (GCP, AWS, or Azure).
6. Implement and manage workflows using Airflow or similar orchestration tools.
7. Establish and maintain CI / CD pipelines for seamless deployment, testing, and automation.
8. Apply software engineering principles to enhance data solution maintainability and scalability.
9. Collaborate with stakeholders to understand data needs and deliver reliable, actionable solutions.
10. Work closely with marketing and advertising teams to enable data-driven decision-making (preferred).

Requirements

1. At least 2 years as a Data Engineer, with a strong focus on SQL, data warehouse modeling, and dbt.
2. Proficiency in Python for data processing and scripting.
3. Experience in integrating with third-party APIs or designing APIs for data access.
4. Experience with Git for version control and Docker for containerization.
5. Hands-on expertise with cloud platforms (GCP, AWS, or Azure).
6. Familiarity with Airflow for workflow orchestration.
7. Knowledge of CI / CD pipelines and deployment automation.
8. B.A. / B.Sc. in Industrial / Information Systems Engineering, Computer Science, Statistics, or a related field.
9. Knowledge of digital marketing or advertising.

Opportunity to have a real impact in a high growth international brand

Work remote from anywhere in the world

Control your time - flexible hours

Responsibility from day one, professional and personal growth

Great company culture, working alongside