Medior Data Engineer

Medior Data Engineer

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.

MOL Group Consumer Services are currently serving approx. 10 million customers through 2,000 service stations across 9 countries, which provides an excellent scale to leverage our technologies regionally. Our engineers are product-minded professionals with a passion for business, user behavior, and data. They excel in communication, build strong relationships with non-engineers, and navigate product/engineering tradeoffs with ease. With a focus on quick product validation and end-to-end feature ownership, they drive continuous learning and impactful solutions.

If you're curious, proactive, and eager to make a difference, the Digital Factory's Engineering Team is the place for you!

We are looking to hire an experienced and passionate Data Software Engineer to join Digital Factory. This role focuses on building and operating scalable data pipelines and ensuring reliable, cost-efficient data processing on our Databricks-based data platform. You will work closely with data scientists, analysts, and business stakeholders to ensure high-quality and accessible data while contributing to both functional and technical decision-making.

Main Responsibilities:

• 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

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

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…