Data Engineer – Data & Product Engineering

This is a fully remote position, open to applicants in Spain, +2 more countries.

📋 Description

• Take ownership of and enhance the internal media data platform.

• Collaborate with external vendors to design, create, and optimize data pipelines that connect media platforms.

• Design, develop, and sustain internal reporting tools, interactive dashboards, and AI-enhanced solutions.

• Ensure that scalability, reliability, user experience, data integrity, consistency, and security are upheld.

• Oversee suppliers who are responsible for building and maintaining digital data platforms.

• Lead continuous improvement and optimization initiatives.

• Implement software engineering best practices, including version control, testing, and continuous integration.

• Ensure that the data integration infrastructure operates as intended, encompassing APIs, orchestration, and SFTP.

• Deliver cleaned and transformed datasets via flat file extracts, data marts, and APIs.

• Maintain comprehensive data documentation and definitions.

• Facilitate change management and ongoing improvement to enhance user adoption and business value.

• Collaborate with vendors, internal stakeholders, Product Owners, and Business Analysts.

• Develop, configure, customize, integrate, and test high-quality solutions while adhering to Agile methodologies.

⛳️ Requirements

• A bachelor’s degree in Business, Engineering, Information Systems, or a related field (or equivalent experience).

• Over 5 years of experience in IT solution ownership, application management, or product ownership, ideally with Google Cloud solutions.

• Practical experience with Google Cloud, BigQuery, and DBT.

• Proficiency in SQL, Python, PySpark, and Airflow.

• Familiarity with PowerBI, Tableau, or Google Looker Studio.

• Experience with media data engineering and the integration challenges of adtech data.

• Knowledge of data transformation technologies like DBT.

• Strong command of SQL.

• Practical experience with statistical techniques such as regression analysis and distributions.

• Understanding of best practices in data warehousing and management for large volumes of structured and unstructured data.

• Strong project management and prioritization skills across multiple global initiatives.

🏝️ Benefits

• No relocation support available.

• Equal opportunity employment.