Lead Data Engineer

Job Description
Are You Ready to Make It Happen at Mondelēz International?
Join our Mission to Lead the Future of Snacking. Make It Possible.
Main Responsibilities

• Data Analysis & Reporting
• Perform regular analysis of business data; identify trends, anomalies, and insights
• Develop and maintain recurring reports and dashboards for key business metrics
• Execute data quality checks and prepare structured correction recommendations
• Prepare statistical and operational reports for management audiences
• Support ad hoc analysis requests from functional stakeholders
• Document data sources, definitions, and reporting methodologies
• Data Management & Governance
• Maintain and update data repositories, ensuring completeness and accuracy
• Support data cleansing activities and resolve data integrity issues
• Assist in establishing and documenting data governance standards
• Manage data access requests and maintain permission records
• Support data migration and integration activities for new systems or processes
• Dashboard & Visualization Development
• Build and maintain interactive dashboards using BI tools (Power BI, Tableau, or similar)
• Translate business requirements into clear, actionable visualizations
• Automate recurring reporting processes where possible
• Ensure dashboards are refreshed on schedule and data sources are validated
• Train end-users on dashboard navigation and self-service analytics capabilities
• AI & Automation Support
• Evaluate and recommend AI tools and platforms for analytics workflows (e.g., generative AI, ML models)
• Identify automation opportunities to reduce manual data processing and reporting effort
• Leverage AI-assisted analytics to enhance data exploration, pattern recognition, and insight generation
• Support the integration of predictive analytics and AI models into existing reporting frameworks
• Stay current with emerging AI/ML technologies and share knowledge with team members
• Ensure responsible AI usage aligned with Mondelēz data governance and ethics policies

Requirements

• 0–2 years of experience in a data analytics, business intelligence, or reporting role
• Exposure to analytics tools (e.g., Power BI, Tableau, SQL) and ERP systems preferred
• Exposure to AI/ML tools (e.g., generative AI platforms, predictive analytics, ChatGPT, Copilot) and willingness to adopt emerging technologies
• Strong analytical and data management skills; proficiency in Microsoft Excel required
• Ability to work with large datasets and cross-functional teams
• University degree (Bachelor's) in Business Analytics, Statistics, Computer Science, Economics, or related field
• Fluency in English; additional language is an advantage

We pride ourselves on having a high performing and collaborative culture where we support your career and development. In return for your commitment, drive and enthusiasm, we offer
salary starting from 1.950€ plus annual bonus payment based on your performance
. The final offer will depend on the skills and previous experience of the candidate. We also offer top attractive benefits.

Relocation Support Available?
No Relocation support available

Business Unit Summary
We value our talented employees, and whenever possible strive to help one of our associates grow professionally before recruiting new talent to our open positions. If you think the open position you see is right for you, we encourage you to apply!

Our people make all the difference in our succes
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.

Excited to grow your career?
We value our talented employees, and whenever possible strive to help one of our associates grow professionally before recruiting new talent to our open positions. If you think the open position you see is right for you, we encourage you to apply!

IF YOU REQUIRE SUPPORT TO COMPLETE YOUR APPLICATION OR DURING THE INTERVIEW PROCESS, PLEASE CONTACT THE RECRUITER
Job Type
Regular

Transportation, International Logistics & Customs

Customer Service & Logistics

Are you passionate about turning complex data challenges into elegant, scalable solutions? Do you thrive at the intersection of engineering, analytics, and cutting-edge AI? If so, Swiss Re wants to hear from you. Join a global leader in reinsurance and help shape the future of data-driven decision-making.

About The Role
As an Analytics Engineer, you'll be at the heart of building intelligent, scalable platforms that power information retrieval, document analytics, and enterprise knowledge systems. This is more than a development role — it's an opportunity to architect solutions that have real business impact across a global organisation. You'll work in a dynamic Agile environment, partnering with business and engineering teams to design, build, and operate modern data-driven products that matter.

Key Responsibilities

• Design, develop, and maintain scalable data engineering and analytics solutions that meet evolving business needs
• Build end-to-end applications and services for document analytics and information retrieval, ensuring performance and reliability
• Develop robust, cloud-native solutions leveraging modern engineering practices and cutting-edge technologies
• Contribute to solution architecture, driving continuous improvement and platform reliability across the stack
• Collaborate closely with business stakeholders and cross-functional teams to translate requirements into impactful technical solutions
• Apply Agile, DevOps, and CI/CD best practices throughout the full software development lifecycle to ensure quality and speed of delivery

About The Team
You'll be joining Group Data Services (GDS) at Swiss Re — a forward-thinking team dedicated to building scalable data and AI solutions that power information retrieval, document analytics, and enterprise knowledge platforms. GDS operates at the forefront of data innovation, enabling smarter, faster, and more informed decisions across the organisation. The team thrives on collaboration, continuous learning, and a shared commitment to engineering excellence in an Agile environment.

About You
You are a curious, solutions-oriented engineer who loves tackling complex data problems and turning them into scalable, impactful products. You bring a collaborative spirit, a growth mindset, and the ability to communicate effectively across technical and business teams. You embrace continuous learning and are energized by working in a fast-paced, innovative environment where your contributions make a tangible difference.

We Are Looking For Candidates Who Meet These Requirements

• Python expertise: hands-on software development experience with strong Python programming skills (Java experience is a plus)
• Scalable data application design: Proven experience designing and building scalable, data-intensive applications from the ground up
• Core data engineering technologies: Hands-on knowledge of SQL, Apache Spark, Kubernetes, and CI/CD pipelines in production environments
• Agile development experience: Demonstrated experience working within Agile development teams, contributing to iterative delivery and continuous improvement

These Are Additional Nice To Haves

• Experience with Palantir Foundry and its data integration and transformation capabilities
• Exposure to Large Language Models (LLMs), AI engineering, or Retrieval-Augmented Generation (RAG) techniques
• Experience working with cloud platforms such as Microsoft Azure, AWS, or equivalent

Role
For Slovakia the
base salary range
for this position is between EUR 2,400 and EUR 4,100 per month (for a full-time role). The specific salary offered considers:

• the requirements, scope, complexity and responsibilities of the role,
• the applicant’s own profile including education/qualifications, expertise, specialisation, skills and experience.

In addition to your base salary, Swiss Re offers an attractive performance-based variable compensation component, designed to recognise your achievements. Further you will enjoy a variety of global and location specific benefits.

Eligibility may vary depending on the terms of Swiss Re policies and your employment contract.

About Swiss Re
Swiss Re is one of the world’s leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working to make the world more resilient. We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime. Combining experience with creative thinking and cutting-edge expertise, we create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 15,000 employees across the world.

Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking. We embrace a workplace where everyone has equal opportunities to thrive and develop professionally regardless of their age, gender, race, ethnicity, gender identity and/or expression, sexual orientation, physical or mental ability, skillset, thought or other characteristics. In our inclusive and flexible environment everyone can bring their authentic selves to work and their passion for sustainability.

If you are an experienced professional returning to the workforce after a career break, we encourage you to apply for open positions that match your skills and experience.

We may use AI-powered tools to support the review and evaluation of applications for this position. These tools provide additional insights to our recruitment teams, but all hiring decisions are carefully reviewed and made by people. To learn more about how we use AI in recruitment and how we handle your personal data, please review our Data Privacy Statement before applying.

Keywords
Reference Code:
138720

Summary
You will be responsible for the design, analysis and implementation of our automated malware detection technologies, machine learning based technologies and infrastructure used for detection of malicious threats. The position involves process automations and an optimization of the system architecture. It also includes contributions to code review sessions.

Job Description
A successful candidate will be dedicated to development and continuous improvements of classifiers built on top of the cutting-edge technologies leveraging multiple data sources and different kinds of information.

Although we've got space for people who want to contribute more in research field, at the moment we are primarily looking for people who want to work more on the software engineering part.

Technologies used in the job
Python, Impala, Kafka, C/C++, (My)SQL, Hadoop/Hbase, Spark, Hive, Jenkins, Docker, JIRA, Confluence, Git, Scikit, TensorFlow

Are you cut out for the job?
Position is suitable for experienced software engineers that have at least some experience with machine learning or data science (school, home experiments, etc.).

Advanced python is required and it would be nice to have some C/C++ knowledge.

Advantage is to have experiences with CI/CD, so called Big Data technologies and at least basic understanding of computer/network security.

And last but not least, to keep pace with the bad guys you should have a healthy appetite for continuing to learn new things. The appetite for drinks, beers, food and great time will be saturated on several off-site teambuilding activities and annual Christmas party and big company party with cover name 'Zranica'.

Basic wage component (brutto): from 2700 EUR
* The final basic wage component can be increased accordingly to individual skills and experience of the selected candidate.

* Performance bonus 2 times per year up to 10% of the basic salary paid for the evaluation period(usually 6 months).

#medior

At ESET, diversity, equity, and inclusion (DEI) are integral to our corporate culture. We believe in creating a respectful environment, where everyone feels valued and respected, welcoming applications from individuals of all backgrounds, including race, gender, age, religion, disability, and sexual orientation.

Are you passionate about building AI-powered solutions that drive business value? Do you thrive at the intersection of product ownership and technical engineering? Join us to shape the future of AI applications that transform how businesses operate and make decisions!

Join a dynamic and innovative Data Analytics & GenAI Property & Casualty Reinsurance team. Our mission is to harness the power of Data Analytics and Generative AI to create a competitive advantage for our business. By generating actionable insights, we aim to enhance data-driven decision-making and improve business outcomes.

About The Role
As an AI Solution Engineer, you'll contribute the development of AI solutions from concept to production. You'll blend technical expertise with product management skills to deliver user-centric AI applications that solve real business problems. This role offers a unique opportunity to drive innovation while ensuring technical excellence.

For Example, You Will
Key responsibilities

• Own and drive AI product development from initial concept through to production deployment and continuous improvement
• Collaborate with cross-functional teams and stakeholders to translate business requirements into technical specifications and actionable plans
• Design and develop user-centric AI applications using Python/PySpark, emphasizing exceptional user experience and compelling data storytelling
• Drive and shape data & AI products from business value concepts to production.
• Stay up to date with the latest GenAI technologies and best practices to drive sustainable and efficient data products.

About You
To be successful in the role, you have:

• 2+ years of experience building and deploying AI/ML solutions in production environments
• Strong proficiency in Python and experience with data processing frameworks like PySpark
• Experience in product ownership or product management for technical products
• Demonstrated ability to build data-driven applications with a user-focused mindset and storytelling with data
• Independent self-learner that can navigate ambiguity
• Good fluent communication in English

If you also have the following experience and interests, it is a huge plus:

• Knowledge of Azure, Microsoft Power BI and Typescript
• Project management abilities within agile frameworks
• Experience with Machine Learning and familiarity with Large Language Models (LLMs)

Role
For Slovakia the base salary range for this position is between EUR 2,400 and EUR 4,100 per month (for a full-time role). The specific salary offered considers:

• the requirements, scope, complexity and responsibilities of the role,
• the applicant’s own profile including education/qualifications, expertise, specialisation, skills and experience.

In addition to your base salary, Swiss Re offers an attractive performance-based variable compensation component, designed to recognise your achievements. Further you will enjoy a variety of global and location specific benefits.

Eligibility may vary depending on the terms of Swiss Re policies and your employment contract.

About Swiss Re
Swiss Re is one of the world’s leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working to make the world more resilient. We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime. Combining experience with creative thinking and cutting-edge expertise, we create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 15,000 employees across the world.

Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking. We embrace a workplace where everyone has equal opportunities to thrive and develop professionally regardless of their age, gender, race, ethnicity, gender identity and/or expression, sexual orientation, physical or mental ability, skillset, thought or other characteristics. In our inclusive and flexible environment everyone can bring their authentic selves to work and their passion for sustainability.

If you are an experienced professional returning to the workforce after a career break, we encourage you to apply for open positions that match your skills and experience.

We may use AI-powered tools to support the review and evaluation of applications for this position. These tools provide additional insights to our recruitment teams, but all hiring decisions are carefully reviewed and made by people. To learn more about how we use AI in recruitment and how we handle your personal data, please review our Data Privacy Statement before applying.

Keywords
Reference Code:
138292