Data Engineer

Exactius; Lugo; Presencial; EUR 30.000 - 45.000; Jornada completa

Descripción de la vacante

A leading company is looking for a Data Engineer to tackle complex digital marketing challenges. You’ll design and implement efficient ETL pipelines, optimize data processes, and integrate APIs while working closely with cross-functional teams. Ideal candidates will have experience in SQL, Python, and cloud technologies, contributing to both marketing and data analytics initiatives.

Formación

• Minimum 2 years experience as Data Engineer focusing on SQL and data warehousing.
• Proficient in Python for data processing.
• Experience with cloud platforms like GCP, AWS, or Azure.

Responsabilidades

• Design and maintain scalable ETL pipelines for data processing.
• Optimize data pipelines for performance and reliability.
• Collaborate with teams to understand and deliver data needs.

Conocimientos

SQL

Python

Data Modeling

APIs Integration

Cloud Platforms

Airflow

CI/CD

Educación

B.A. / B.Sc. in Engineering, Computer Science, Statistics

Herramientas

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

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

Requirements

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

Seniority level

• Entry level

Employment type

• Full-time

Job function

• Information Technology, Engineering, and Marketing
• Advertising Services, Marketing Services, and Data Infrastructure and Analytics

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