Software Engineer - Graduate - Slovakia

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.

No Relocation support available

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
Regular

Software & Applications

Technology & Digital

Senior AI|ML Engineer
Data Science is all about breaking new ground to enable businesses to answer their most urgent questions. Pioneering massively parallel data-intensive analytic processing, our mission is to develop a whole new approach to generating meaning and value from petabyte-scale data sets and shape brand new methodologies, tools, statistical methods and models.

Join us to do the best work of your career and make a profound social impact as a
Senior
AI|ML Engineer
on our
Services AI
Team in
Bratislava, Slovakia.
What you’ll achieve
As an Senior AI|ML Engineer, you will work on bringing machine learning, LLM, and generative AI solutions from prototype to production. This is a hands-on role with a strong engineering focus, where you’ll work closely with data scientists and senior engineers to make models usable, reliable, and ready for real business use. 

We’re looking for a team member who enjoys turning ideas into working products and wants to contribute to how Dell delivers ML, GenAI, and Agentic solutions at scale. 

You will:

• Deploy and maintain ML, LLM, and Agentic AI solutions in production environments
• Collaborate with data scientists to integrate trained models into enterprise systems and workflows
• Build and manage containerized services using Docker and deploy them using Kubernetes
• Contribute to CI/CD pipelines, Git-based workflows, and production release processes
• Help keep systems reliable and secure through monitoring, troubleshooting, and patching

Take the first step towards your dream career
Every Dell Technologies team member brings something unique to the table. Here’s what we are looking for with this role: 

Essential Requirements

• Bachelor’s degree in data science, computer science OR other IT / Engineering related field with 3+ years of professional experience in ML Engineering role
• Practical hand-on experience with Python, used in real projects or production systems
• Working knowledge of Docker, Kubernetes, Git and CI/CD pipelines
• Good understanding of how machine learning models are deployed, served, and maintained over time
• Working knowledge of LLMs and generative AI, including integrating LLMs into applications or services (e.g. prompt handling, APIs, basic orchestration, or tooling)

Starting Salary from:
3 000 EUR Brutto  /Month

Hľadám
AI Adoption Engineera
, ktorý sa bude podieľať na zavádzaní AI do testovacích procesov. Budete navrhovať agentické riešenia, pracovať s
LLM
nástrojmi a optimalizovať testovanie pomocou moderných prístupov. Očakávam skúsenosti s automatizovaným testovaním, silný development background a prax s AI v produkčnom prostredí.

🚀 Projekt

• spoluvytváranie a oponovanie vízie zavádzania AI do testovacích procesov vrátane agentického testovania a generátorov testovacích nástrojov
• vyhodnocovanie konceptov z pohľadu realizovateľnosti, nákladov a rizík pred implementáciou
• sledovanie trendov v oblasti AI-driven testingu a prenos poznatkov do tímu
• návrh a vývoj nástrojov na zníženie krehkosti UI testov (napr. self-healing selektory, AI detekcia zmien)
• budovanie agentických riešení pre autonómne generovanie a validáciu testovacích scenárov
• integrácia AI/LLM nástrojov do existujúceho testovacieho a CI/CD ekosystému
• dokumentácia a odovzdanie riešení tak, aby boli dlhodobo udržateľné tímom
• zabezpečenie odovzdania kódu, nástrojov a dokumentácie v produkčne použiteľnom stave

🎯 Skills

• skúsenosť s návrhom a údržbou automatizovaných testovacích frameworkov (UI aj integračné testy)
• hlboké porozumenie krehkosti UI testov a spôsobov ich riešenia
• skúsenosť s integračným testovaním v prostredí viacerých služieb/API
• silné programátorské schopnosti a schopnosť navrhnúť riešenie od nuly
• skúsenosť s integráciou riešení do CI/CD pipeline
• reálna skúsenosť s nasadením AI/LLM nástrojov v produkcii
• znalosť agentických prístupov (autonómne agenty, orchestrácia, tool-use)
• skúsenosť s promptovaním a hodnotením spoľahlivosti AI výstupov
• schopnosť kriticky vyhodnotiť prínos AI riešení
• schopnosť pracovať samostatne a navrhovať efektívne riešenia

💡 Nice to have

• skúsenosť so škálovaním testovacích procesov
• prehľad o AI-driven/agentic testing nástrojoch a frameworkoch
• skúsenosť s prácou v konzultačnom režime (samostatnosť, komunikácia výstupov)

Hľadám
AI Adoption Engineera
, ktorý sa bude podieľať na zavádzaní AI do testovacích procesov. Budete navrhovať agentické riešenia, pracovať s
LLM
nástrojmi a optimalizovať testovanie pomocou moderných prístupov. Očakávam skúsenosti s automatizovaným testovaním, silný development background a prax s AI v produkčnom prostredí.

🚀 Projekt

• spoluvytváranie a oponovanie vízie zavádzania AI do testovacích procesov vrátane agentického testovania a generátorov testovacích nástrojov
• vyhodnocovanie konceptov z pohľadu realizovateľnosti, nákladov a rizík pred implementáciou
• sledovanie trendov v oblasti AI-driven testingu a prenos poznatkov do tímu
• návrh a vývoj nástrojov na zníženie krehkosti UI testov (napr. self-healing selektory, AI detekcia zmien)
• budovanie agentických riešení pre autonómne generovanie a validáciu testovacích scenárov
• integrácia AI/LLM nástrojov do existujúceho testovacieho a CI/CD ekosystému
• dokumentácia a odovzdanie riešení tak, aby boli dlhodobo udržateľné tímom
• zabezpečenie odovzdania kódu, nástrojov a dokumentácie v produkčne použiteľnom stave

🎯 Skills

• skúsenosť s návrhom a údržbou automatizovaných testovacích frameworkov (UI aj integračné testy)
• hlboké porozumenie krehkosti UI testov a spôsobov ich riešenia
• skúsenosť s integračným testovaním v prostredí viacerých služieb/API
• silné programátorské schopnosti a schopnosť navrhnúť riešenie od nuly
• skúsenosť s integráciou riešení do CI/CD pipeline
• reálna skúsenosť s nasadením AI/LLM nástrojov v produkcii
• znalosť agentických prístupov (autonómne agenty, orchestrácia, tool-use)
• skúsenosť s promptovaním a hodnotením spoľahlivosti AI výstupov
• schopnosť kriticky vyhodnotiť prínos AI riešení
• schopnosť pracovať samostatne a navrhovať efektívne riešenia

💡 Nice to have

• skúsenosť so škálovaním testovacích procesov
• prehľad o AI-driven/agentic testing nástrojoch a frameworkoch
• skúsenosť s prácou v konzultačnom režime (samostatnosť, komunikácia výstupov)