Location: MOL Campus
Team: Digital Factory – Digital Engineering
Experience Level: Senior
Language: Fluent in English
Your Superpower: Designing scalable data architectures that power the future

About Digital Factory

At Digital Factory, we pair the agility of a startup with the scale of a global company. As part of MOL Group’s 2030 Enter Tomorrow strategy, we’re transforming Consumer Services into a digital‑first, data‑driven mobility and retail business.

We’ve built a centralized Data Lake, deployed advanced analytics (across forecasting, pricing, category management, workforce optimization), and launched MOL MOVE – our digital loyalty platform used by millions across 9 countries.

Now, we’re expanding our data ecosystem even further, strengthening our engineering capabilities, and looking for a Senior Data Architect to help us build data products that scale across the region.

About the Role

We are looking for a Senior Data Architect who will shape the foundations of our data products and platforms. You’ll contribute across the entire data lifecycle – from conceptual architecture to hands‑on model design – ensuring our Data Squads deliver high‑quality, scalable solutions.

This role combines architecture, technical leadership, and coaching: you’ll design data structures, guide transformation logic, review code, ensure data quality, and support our transition to modern cloud‑based technologies like Synapse, Databricks, and Delta Lake.

If you’re passionate about data architecture, cloud platforms, and helping teams deliver robust analytics solutions, this role is for you.

Main Responsibilities

Design and maintain robust, scalable data architectures
Build and optimize high‑performance data models for analytics
Partner with business and engineering teams to shape data solutions end ‑ to ‑ end
Lead data integration, transformation, and migration efforts
Ensure data quality, consistency, governance, and security across systems
Design efficient data pipelines and workflows for large datasets
Continuously improve our cloud data tech stack (Synapse, Databricks, ADLS, ADF)
Coach and guide Data Engineers and BI Developers on best practices
Support adoption of Databricks for advanced analytics and processing
Troubleshoot complex data issues and performance bottlenecks
Define code ‑ quality frameworks and architecture KPIs

About Your Experience and Skills

Education

Degree in Computer Science, Information Systems, or similar

Experience

Deep experience designing and delivering scalable ETL/ELT processes
Strong background in cloud data platforms (Azure Synapse, Databricks, ADLS)
Hands‑on experience with data integration, modelling, migration, and performance tuning
Experience with requirements gathering, solution design, and business analysis
Comfortable with CI/CD pipelines and Azure DevOps
Ability to mentor developers and collaborate across functions and teams

Professional and Technical Competencies

Advanced SQL (optimization, tuning, complex queries)
Strong ETL knowledge (Informatica, Talend, SSIS, or similar tools)
Data modeling techniques (dimensional, star schema, snowflake)
Familiarity with Hadoop, Spark, Databricks
Knowledge of NoSQL systems (MongoDB, Cassandra)
Scripting skills in Python and/or PowerShell
Experience with Power BI, Tableau, OBIEE or similar
Familiarity with AWS, Azure, or Google Cloud data services
Understanding of data governance and quality frameworks
Experience with architecture modeling tools (e.g., Sparx EA)
Comfortable with Jira and Confluence

Soft Skills

Analytical, curious, and always eager to improve what’s already good
Able to drive consensus among technical and non‑technical stakeholders
Clear communicator who can turn complex data topics into understandable insights
Highly organized and reliable – you bring structure even when things get messy
Comfortable juggling multiple priorities in a fast‑paced environment
Strong sense of ownership and team mindset
Growth ‑ minded, proactive, and open to learning
Comfortable collaborating across cultures and countries

What We Offer

Modern cloud‑based tech stack to work with
Collaboration with talented teams across the CEE region
Plenty of room for growth in a fast‑moving digital organization
Medicare health insurance, annual bonus, and extensive benefits
Cross‑industry exposure within MOL Group’s expanding portfolio
Regular team events and MOL family experiences

How to apply?

If you wish to form the future with us, please submit your applications via our career site:

Main Recruitment Steps

Initial call: You will be contacted by MOL Recruitment via phone for a short chat.
Interview: You can expect two or a maximum of three interview rounds, where you can meet your direct manager, some experts from the team, ask your questions and present your skills and career path. We always make sure you receive timely feedback after each round.
Technical Assessment: You will either receive a take-home assignment after the first interview or be asked to solve an exercise on the spot at one of the interviews.

If you would like to know more about Digital Factory: digitalfactory.info

Meet your Hiring Manager: Zsolt Horváth (/)

At MOL Group, we know that our strength lies in diversity. During the selection process, we provide equal opportunities to all applicants with the appropriate qualifications and work experience, regardless of age, gender, disability, or reduced work capacity, sexual orientation, or ethnicity. At MOL Group, everyone matters.

If you have any specific needs related to your reduced work capacity at any stage of the recruitment process, please inform our recruitment team! We are happy to assist.

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