Data Engineer – Data & Product Engineering

🔥 12 hours ago

🌐 Spain, Romania, +1 more countries – Remote

🇪🇸 Spain – Remote 🇷🇴 Romania – Remote 🇸🇰 Slovakia – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Mondelēz International

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 2012

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

Mondelēz International is a global leader in the snacking industry, well-known for its iconic brands like Cadbury, Oreo, and Toblerone. The company is involved in producing and marketing a wide range of chocolate, biscuits, candy, and other snacks, which are available to consumers across the world. Mondelēz is committed to corporate governance, sustainability, and making a positive impact on communities through initiatives in diverse areas like environmental sustainability and diversity, equity, and inclusion. The company operates in various sectors, including manufacturing, marketing, and supply chain management, and has a significant presence in multiple countries.

📋 Description

• Own and advance the internal media data platform • Partner with external vendors to design, build, and optimize data pipelines connecting media platforms • Design, develop, and maintain internal reporting tools, interactive dashboards, and AI-driven solutions • Ensure scalability, reliability, user experience, data integrity, consistency, and security • Manage suppliers building and maintaining digital data platforms • Drive continuous improvement and optimization programs • Apply software engineering best practices, including version control, testing, and continuous integration • Ensure data integration infrastructure works as designed, including APIs, orchestration, and SFTP • Provide cleaned and transformed datasets through flat file extracts, data marts, and APIs • Maintain data documentation and definitions • Facilitate change management and continuous improvement to maximize user adoption and business value • Collaborate with vendors, internal stakeholders, Product Owners, and Business Analysts • Develop, configure, customize, integrate, and test high-quality solutions following Agile methodologies

🎯 Requirements

• Bachelor’s degree in Business, Engineering, Information Systems, or related field (or equivalent experience) • 5+ years in IT solution ownership, application management, or product ownership, preferably with Google Cloud solutions • Hands-on experience with Google Cloud, BigQuery, and DBT • Knowledge of SQL, Python, PySpark, and Airflow • Experience with PowerBI, Tableau, or Google Looker Studio • Experience in media data engineering and adtech data integration challenges • Experience with data transformation technologies such as DBT • Strong command of SQL • Practical experience with statistical techniques such as regression analysis and distributions • Awareness of best practices in data warehousing and management for large volumes of structured/unstructured data • Strong project management and prioritization abilities across multiple global initiatives

🏖️ Benefits

• No relocation support available • Equal opportunity employment