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Data Lake Product Owner

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What you’ll work on

Full posting

We are seeking an experienced and passionate Data Lake Product Owner to join Digital Factory.

  • Own, prioritize and maintain the Data Lake product backlog and roadmap

  • Manage product development budgets and coordinate vendor delivery

  • Oversee integration of new source systems and country rollouts

  • Define KPIs and build a feedback loop from user testing and performance data

  • Log and verify access requests as Data Lake access manager

From the employer’s posting
We are seeking an experienced and passionate Data Lake Product Owner to join Digital Factory. The new team member will be responsible for the improvement and maintenance of the Data Lake solution in order to maximize its business value across the Retail organization. This includes the identification and prioritization of new, business value driving features as well as the necessary technological improvements. The Data Lake PO acts as the single point of contact for business stakeholders regarding Data Lake capabilities, new demands, rollout plans and releases.
Own, prioritize, and maintain the product backlog
Own and manage product development budgets, balancing resource needs and financial constraints
Oversee the integration of Data Lake with additional source systems, including further country rollouts
Define and monitor KPIs to measure progress and impact
Act as access manager of Data Lake, logging incoming access requests and verifying that access has been granted appropriately

What you’ll bring

All qualifications

Core experience

  • Minimum 3 years of experience, ideally in business consulting or analytics
  • Bachelor's degree in Business, Computer Science or Engineering
  • Experience analyzing large datasets to drive business decisions
  • Familiarity with agile or Scrum methods
  • Strong written and verbal Hungarian and English

Preferred experience

  • Master’s degree is a plus
  • MS SQL is a plus
Qualification wording
Minimum 3 years of experience; preferably in top tier business consulting, or business / data analytics in a multinational environment
Bachelor’s degree (Master’s degree is a plus)
Experience in analyzing large datasets to gain insights and drive business decisions
Familiarity with agile, Scrum, or other rapid application development methods.
Strong written and verbal communication skills in both Hungarian and English
Knowledge of database systems and spreadsheet tools (MS SQL is a plus)
Education & alternatives
- Education - Bachelor’s degree (Master’s degree is a plus) - Specialization in Business / Computer Science / Engineering

Benefits in the posting

Full benefits wording
  • Access Medicover health insurance and an extensive benefit package, including an annual bonus and maximalized fringe benefits.

From the employer’s posting.

About MOL Group - Magyar OLaj- és Gázipari Részvénytársaság

As part of MOL Group’s 2030 - Enter Tomorrow strategy, our mission is to lead the market in Central Europe through innovative digital transformation.

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Actively hiringFirst seen by us 7 days ago, still listed, and not a repost of an earlier posting.

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Live
First seen by us
Oct 29, 20267 days ago
Recorded sightings
8
Last seen by us
Nov 5, 2026

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MOL Group - Magyar OLaj- és Gázipari Részvénytársaság is hiring

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- Knowledge of MS Power BI or similar data visualization tools. - Knowledge of database systems and spreadsheet tools (MS SQL is a plus) - Familiarity with Atlassian tools (JIRA, Confluence).
- Professional use of MS Project or similar project management tools. - Knowledge of MS Power BI or similar data visualization tools. - Knowledge of database systems and spreadsheet tools (MS SQL is a plus)

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Demand for Data Scientist roles

New Data Scientist postings at the employers we follow are down 3% over the last 5 weeks compared with the 5 before.

Weekly new Data Scientist postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 1,411, the most 2,973, and the latest week had 1,826.
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About the role

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Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.

Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.

Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.

US government figures for data scientists

Median yearly pay, May 2025
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Expected change, 2025 to 2035
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Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

 

 

 

 

Data Lake Product Owner

 

About Digital Factory

It’s a place where the agility of a start-up meets the stability of a global powerhouse! 

Be part of our journey as we transform MOL Group’s Consumer Services from a traditional fuel retailer to a cutting-edge, digitally driven consumer goods and mobility services provider. As part of MOL Group’s 2030 - Enter Tomorrow strategy, our mission is to lead the market in Central Europe through innovative digital transformation. 

At Digital Factory, we harness the power of data to drive business decisions by building a comprehensive Data Lake and developing advanced analytics solutions in forecasting, category management, pricing, and workforce optimization. We're also revolutionizing customer experience with MOL MOVE, our new digital, app-first loyalty rewards program on the Salesforce platform, designed to personalize and enhance convenience for our customers. 

A strong analytical capability led by the Group Data Analytics team within Digital Factory is a crucial element of the successful digital transformation.

About the Role

We are seeking an experienced and passionate Data Lake Product Owner to join Digital Factory. The new team member will be responsible for the improvement and maintenance of the Data Lake solution in order to maximize its business value across the Retail organization. This includes the identification and prioritization of new, business value driving features as well as the necessary technological improvements. The Data Lake PO acts as the single point of contact for business stakeholders regarding Data Lake capabilities, new demands, rollout plans and releases. 

Main responsibilities

  • Develop, own, and execute the product roadmap in alignment with Chapter and Digital Factory strategy and roadmap.

  • Translate the product roadmap features into detailed product requirements, including features, user stories, and acceptance criteria.

  • Own, prioritize, and maintain the product backlog, ensuring alignment with parallel teams, and timely delivery of incremental features.

  • Own and manage product development budgets, balancing resource needs and financial constraints, and align with vendors as needed.

  • Drive product delivery, coordinating and evaluating relevant vendor contributions throughout the development lifecycle.

  • Define and monitor KPIs to measure progress and impact, using analytics to track results and inform decision-making.

  • Define improvement initiatives based on user feedback, user testing, and continuous performance measurement, and build an actionable customer feedback loop.

  • If applicable, manage and oversee group level business operations in collaboration with internal teams and vendors for owned products.

  • Anticipate business needs, industry and global trends, and cover shifting business requirements; be ready to accommodate the occasional moving target - facilitate MVP approach and run pilots if necessary.

  • Act as an internal advocate for the Digital Future of MOL by promoting practices such as design thinking and data-driven decision-making.

  • Coordinate and evaluate the work of the intern(s), if applicable.

Responsibilities specific to this role

  • Oversee the integration of Data Lake with additional source systems, including further country rollouts; drive multi-business Data Lake projects as a business-side coordinator

  • Identify necessary data accuracy improvement measures and define actions to implement these 

  • Ensure that Data Lake knowledge sharing principles are adhered to, and developments are appropriately documented

  • Act as access manager of Data Lake, logging incoming access requests and verifying that access has been granted appropriately.

About your experience and skills

  • Education

    • Bachelor’s degree (Master’s degree is a plus)

    • Specialization in Business / Computer Science / Engineering

  • Experience

    • Minimum 3 years of experience; preferably in top tier business consulting, or business / data analytics in a multinational environment

    • Experience in analyzing large datasets to gain insights and drive business decisions

    • Familiarity with agile, Scrum, or other rapid application development methods.

  • Professional Competencies

    • Expertise in business consulting and change management.

    • Solid project management and organizational skills, with the ability to work with cross-functional teams and matrix environments.

    • Proven stakeholder management skills.

    • Proficient in data analytics, with excellent analytical, quantitative and problem-solving skills.

    • Demonstrated ability to prioritize, multi-task, work under pressure and meet deadlines.

    • Strong business acumen.

    • Excellent written and verbal communications skills, including proficiency in data visualization techniques.

    • Professional use of MS Office (including strong experience with PowerPoint)

    • Professional use of MS Project or similar project management tools.

    • Knowledge of MS Power BI or similar data visualization tools.

    • Knowledge of database systems and spreadsheet tools (MS SQL is a plus)

    • Familiarity with Atlassian tools (JIRA, Confluence).

  • Soft Skills

    • Result-oriented, able to work independently and thrive in a fast-paced environment while managing multiple tasks.

    • Strong attention to detail and commitment to delivering high-quality work.

    • Proactive mindset with a positive attitude and a strong sense of ownership, and team mentality.

    • Openness to work with different cultures across CEE and willingness to travel in the region (position involves travel in 10% of time)

    • Strong written and verbal communication skills in both Hungarian and English for cross-functional collaboration.

    • Growth mindset with a passion for continuous learning, adapting, and staying updated on industry trends and best practices

    • Solution-oriented and accountable.

What We Offer

  • Work with an advanced and innovative tech stack. 

  • Collaborate with multinational teams and projects across the CEE region. 

  • Enjoy tremendous opportunities for continuous learning and growth in a fast-paced, agile environment. 

  • Explore versatile career paths in a dynamically growing international organization at Local and Group level.

  • Gain cross-industry experience through our expanding portfolio of businesses (both within and beyond MOL Group). 

  • Be part of a supportive and inclusive workplace that values innovation and creativity. 

  • Access Medicover health insurance and an extensive benefit package, including an annual bonus and maximalized fringe benefits. 

  • Participate in regular team outings and MOL family events. 

 

How to apply?

If you wish to form the future with us, please submit your applications via our career site: www.mol.hu/karrier

 

Main Recruitment Steps

  • Initial call: You will be contacted by MOL Recruitment via phone for a short chat. 

  • Short test: You will receive a link to a short test to check your basic analytical skills.

  • Interview: You can expect 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. 

  • Case study: You will either receive a take-home assignment after the first interview or be asked to solve a business problem on the spot at one of the interviews.

 

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

Meet your Hiring Manager: Miklós Pongrácz (https://www.linkedin.com/in/miklospongracz/)

 

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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