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MOL Nyrt.

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Medior Data Engineer

Discussion

Tasks

  • Managing day-to-day operations of Databricks data pipelines, including monitoring, troubleshooting, and performance tuning

  • Maintaining Delta Lake data layers (bronze / silver / gold), ensuring data availability, consistency, and smooth pipeline execution

  • Monitoring and supporting data pipeline operations (failures, delays, data quality issues)

  • Performing incident handling and root cause analysis for data platform issues

  • Optimizing Spark jobs, cluster performance, and platform cost usage

  • Implementing data observability (logging, monitoring, alerting)

  • Supporting CI/CD and deployment of data pipelines

  • Collaborating to ensure end-to-end data reliability and SLA adherence

Requirements

  • Education

    • University or college degree with specialization in Computer Science or Information Systems or equivalent practical experience

  • Experience

    • 3+ years of experience in Data Engineering or similar role

    • Experience with distributed data processing (Apache Spark)

    • Experience working with cloud-based data platforms (preferably Databricks)

    • Exposure to running and supporting production data pipelines

    • Experience troubleshooting data issues in live environments

    • Ability to work in a geo-distributed team with limited supervision

  • Professional and Technical Competencies

    • Hand-on Experience with Azure Databricks and/or Apache Spark

    • Understanding of Lakehouse architecture and Delta Lake

    • Knowledge of orchestration tools (ADF, Airflow, Databricks Workflows) and CI/CD tools

    • Understanding of monitoring and logging in data platforms (Datadog, Azure Monitor)

    • Strong programming skills (Python preferred, Java optional)

    • Professional usage of Microsoft Office Suite.

    • Experience with Atlassian JIRA, Confluence.

    • Basic understanding of data security and scalability principles

    • Experience collaborating with cross-functional teams

  • Soft Skills

    • Strong problem-solving and analytical skills.

    • Self-driven, detail-oriented, capable of multi-tasking, highly organized, with excellent time management skills.

    • Demonstrated ability to meet deadlines, handle and prioritize simultaneous requests, and manage laterally and upwards

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

    • Ability to critically evaluate information gathered from multiple sources, reconcile conflicts, decompose high-level information into details, and distinguish user requests from the underlying true needs.

    • 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.

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

    • Openness to work with different cultures across CEE.

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.

  • Enjoy a hybrid work model: two days of home office and three days at the beautiful MOL Campus.

  • 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.

See also

Data Engineering jobs by country — openings, pay and top skills →

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