Data Engineer

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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