Data Engineer (Data & Product Engineering)
Bucharest, Romania
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingDesign and optimize data pipelines connecting media platforms, with external vendors
Design, develop and maintain reporting tools, interactive dashboards and AI-driven solutions
Ensure data integrity, consistency and security across pipelines
Provide cleaned, transformed data sets for analysis via extracts, data marts and APIs
Manage suppliers who build and maintain the digital data platforms
From the employer’s posting
Partner with external vendors to design, build, and optimize robust data pipelines connecting various media platforms.
Design, develop, and maintain internal reporting tools, interactive dashboards, and AI-driven solutions.
Ensure data integrity, consistency, and security across all pipelines and downstream applications.
Provide cleaned, transformed data sets ready for analysis through various delivery mechanisms: flat file extracts, data marts, API
Manage suppliers who build and maintain the digital data platforms
What you’ll bring
All qualificationsCore experience
- Bachelor’s degree in Business, Engineering, Information Systems, or related field (or equivalent experience).
- Practical experience with statistical techniques and methods such as regression analysis and distributions.
- 5+ years in IT solution ownership, application management, or product ownership — preferably with Google Cloud solutions
- Hands-on experience with Google Cloud, BigQuery, DBT
- Knowledge of tools, methodology for achieving the best-in-class data management (SQL, Python, PySpark, Airflow)
- Experience working with visualisation tools like PowerBI, Tableau, Google Looker Studio
Qualification wording
Bachelor’s degree in Business, Engineering, Information Systems, or related field (or equivalent experience).
Practical experience with statistical techniques and methods such as regression analysis and distributions.
5+ years in IT solution ownership, application management, or product ownership — preferably with Google Cloud solutions
Hands-on experience with Google Cloud, BigQuery, DBT
Knowledge of tools, methodology for achieving the best-in-class data management (SQL, Python, PySpark, Airflow)
Experience working with visualisation tools like PowerBI, Tableau, Google Looker Studio
Education & alternatives
Required: - 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
Tools in this posting
- Python
- SQL
- BigQuery
- dbt
- Looker
- Power BI
- Tableau
- Airflow
- PySpark
- GCP
Source — Tool mentions in context
- Hands-on experience with Google Cloud, BigQuery, DBT - Knowledge of tools, methodology for achieving the best-in-class data management (SQL, Python, PySpark, Airflow) - Experience working with visualisation tools like PowerBI, Tableau, Google Looker Studio
- Industry experience with data transformation technologies such as DBT. - A strong command of SQL. - Practical experience with statistical techniques and methods such as regression analysis and distributions.
- 5+ years in IT solution ownership, application management, or product ownership — preferably with Google Cloud solutions - Hands-on experience with Google Cloud, BigQuery, DBT - Knowledge of tools, methodology for achieving the best-in-class data management (SQL, Python, PySpark, Airflow)
A desire to drive your future and accelerate your career. You will bring experience and knowledge in: - Industry experience with data transformation technologies such as DBT. - A strong command of SQL.
- Knowledge of tools, methodology for achieving the best-in-class data management (SQL, Python, PySpark, Airflow) - Experience working with visualisation tools like PowerBI, Tableau, Google Looker Studio - Experience in media data engineering and adtech data integration challenges.
In this role, you will be the bridge between complex data infrastructure and user-facing solutions. Position overview The Full Stack Engineer adheres to business and technical standards, policies, and procedures throughout the software delivery lifecycle whilst accurately sizing and estimating the effort required to deliver technical solutions. You will develop, build, configure, customise, integrate, and test high-quality solutions based on functional and technical requirements. You will follow Agile methodologies and principles through work outputs and behaviours. You will work with other Product Team members (e.g., Product Owner, Business Analyst) to ideate software solutions. You will act as the champion and advocate via a thorough understanding of Google cloud technologies, helping to deploy Big Data solutions, provide guidance for vendors designated to build and manage data pipelines & ETL processes, and cloud data migrations in a production, secure and scalable manner. How You Will Contribute
- 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, DBT
Posting record
Report an errorOpen 4 monthsWe first saw this posting 128 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Jun 23, 2026 · 128 days ago
- Recorded sightings
- 142
- Last seen by us
- Oct 29, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Your next step
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Job description
Job Description
Are You Ready to Make It Happen at Mondelēz International?
Join our Mission to Lead the Future of Snacking. Make It Uniquely Yours.
Media Data Platform team owns the collection, distribution of media data and operates services that provide near real-time operational views of consumer touchpoints. We maximise capture, storage, analysis of our billions of impressions and tags, and apply analytics, algorithms and visualisation to drive media performance monitoring, new insight creation and activation automation back in the ad tech stack.
Following our organization's exciting shift toward a product-oriented approach, we are evolving our data capabilities to deliver direct, high-impact value to our business stakeholders. We are seeking a versatile Full Stack Engineer with a strong foundation in Data Engineering to join our Media Data Platform team.
In this role, you will be the bridge between complex data infrastructure and user-facing solutions.
Position overview
The Full Stack Engineer adheres to business and technical standards, policies, and procedures throughout the software delivery lifecycle whilst accurately sizing and estimating the effort required to deliver technical solutions. You will develop, build, configure, customise, integrate, and test high-quality solutions based on functional and technical requirements. You will follow Agile methodologies and principles through work outputs and behaviours. You will work with other Product Team members (e.g., Product Owner, Business Analyst) to ideate software solutions.
You will act as the champion and advocate via a thorough understanding of Google cloud technologies, helping to deploy Big Data solutions, provide guidance for vendors designated to build and manage data pipelines & ETL processes, and cloud data migrations in a production, secure and scalable manner.
How You Will Contribute
In this role, you will collaborate with external vendors and internal stakeholders to bridge the gap between complex data engineering and real business impact.
You will work with project resources to provide design collateral and to configure software components that are aligned with security policy and governance, ensure adherence configuration standards and processes, and share your knowledge of the technology with relevant stakeholders.
Key Responsibilities
- Data Engineering & Pipeline Management: Own and advance our internal media data platform. Partner with external vendors to design, build, and optimize robust data pipelines connecting various media platforms.
- Full-Stack Product Development: Transition data into actionable products. Design, develop, and maintain internal reporting tools, interactive dashboards, and AI-driven solutions.
- Product-Oriented Execution: Adopt a product mindset—ensuring scalability, reliability, and a great user experience for all internal data tools.
- Data Governance & Quality: Ensure data integrity, consistency, and security across all pipelines and downstream applications.
- Manage suppliers who build and maintain the digital data platforms and drive continuous improvement and optimization programs. Ensure the consistent application of software engineering best practices (e.g. version control, testing, continuous integration)
- Ensure that all data integration infrastructure works as designed (API, orchestration, SFTP etc.)
- Provide cleaned, transformed data sets ready for analysis through various delivery mechanisms: flat file extracts, data marts, API
- Maintain data documentation & definitions
- Facilitate change management and continuous improvement to maximize user adoption and business value.
Qualifications & Experience
Required:
- 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, DBT
- Knowledge of tools, methodology for achieving the best-in-class data management (SQL, Python, PySpark, Airflow)
- Experience working with visualisation tools like PowerBI, Tableau, Google Looker Studio
- Experience in media data engineering and adtech data integration challenges.
What You Will Bring
A desire to drive your future and accelerate your career. You will bring experience and knowledge in:
- Industry experience with data transformation technologies such as DBT.
- A strong command of SQL.
- Practical experience with statistical techniques and methods such as regression analysis and distributions.
- Awareness of industry best practice in data warehousing and management for large volumes of structured/unstructured data.
Skills & Competencies
- Exceptional communication and influence skills — able to engage senior leaders, translate complex regulatory/tech topics, and drive consensus.
- Analytical mindset with focus on data accuracy, cost optimization, and sustainability impact measurement.
- Proactive, results-oriented; thrives in fast-paced, evolving data environments.
- Strong project management and prioritization abilities across multiple global initiatives.
Work schedule:
The responsibilities of this position are performed within the framework of a regional business model that is defined and managed by Mondelēz Europe GmbH, Switzerland.
Business Unit Summary
At Mondelēz International, our purpose is to empower people to snack right by offering the right snack, for the right moment, made the right way. That means delivering a broad range of delicious, high-quality snacks that nourish life's moments, made with sustainable ingredients and packaging that consumers can feel good about.
We have a rich portfolio of strong brands globally and locally including many household names such as Oreo, belVita and LU biscuits; Cadbury Dairy Milk, Milka and Toblerone chocolate; Sour Patch Kids candy and Trident gum. We are proud to hold the top position globally in biscuits, chocolate and candy and the second top position in gum.
Our 80,000 makers and bakers are located in more than 80 countries and we sell our products in over 150 countries around the world. Our people are energized for growth and critical to us living our purpose and values. We are a diverse community that can make things happen—and happen fast.
Mondelēz International is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation or preference, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.
Job Type
RegularSoftware & ApplicationsTechnology & DigitalSource details
Source notes
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- Location & working pattern
Bucharest, Romania
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