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Medior/Senior Data Ops Engineer - 5480

We are looking for a Medior/Senior Data Ops Engineer to join our team and play a key role in developing, operating, and continuously improving our cloud-based data infrastructure and production data pipelines. In this role, you will contribute to the design, implementation, operation, and optimization of Azure-based data services and Databricks workloads, ensuring that our data platform remains secure, scalable, reliable, and highly available across development and production environments.

Hybrid
Hungarian
Budapest
years of experience

What is it like to work in UC colors?

One thing’s certain all 300+ of our colleagues would say the same: it’s a truly unique and unrepeatable experience. At UC, professional growth and personal development go hand in hand. From tailored professional trainings to team-building events, we make sure work is both inspiring and fun.

You can enjoy the vibe at IT Fest, enjoy the scenic Balaton Circle on two wheels or on foot, unwind in our cozy kUCkó, unleash your creativity during themed craft afternoons, or make a difference through our charity events.

The client/project

Responsibilities

  • Develop, maintain, and support cloud-based data operation infrastructure and production data pipelines.
  • Design, implement, operate, and optimize Azure data services and Databricks workloads.
  • Ensure the security, scalability, reliability, and high availability of critical data processes.
  • Provide operational and production support for data platforms and pipelines.
  • Monitor system and pipeline performance and proactively identify and resolve issues.
  • Perform troubleshooting, root cause analysis, and incident management.
  • Manage monitoring, logging, and alerting solutions to ensure reliable platform operations.
  • Optimize data workloads and platform performance where required.
  • Support platform administration and continuous improvement of DataOps processes.
  • Contribute to CI/CD processes and automation across development and production environments.
  • Collaborate with cross-functional technical and business teams to deliver reliable data platform solutions.

Required skills/technologies used

  • Proven professional experience as a Data Ops Engineer, Data Engineer, Cloud Engineer, or in a similar role.
  • Strong hands-on experience with Microsoft Azure cloud services.
  • Practical experience with Azure Databricks and Databricks workloads.
  • Strong SQL skills.
  • Hands-on experience with CI/CD pipelines and development lifecycle processes.
  • Solid understanding of data platform operations and production environments.
  • Experience with production support, incident management, troubleshooting, and root cause analysis.
  • Experience with monitoring, logging, alerting, and performance tuning.
  • Experience with platform administration and maintaining highly available, business-critical processes.
  • Ability to work effectively with both technical teams and business stakeholders.
  • Strong problem-solving skills and a proactive approach to operational challenges.

Advantages

  • Experience with Azure DevOps.
  • Knowledge of Infrastructure as Code (IaC).
  • Experience with Databricks Unity Catalog.
  • Broader experience with cloud platform operations and administration.
  • Experience automating operational processes and improving DataOps practices.
  • Experience working in complex, enterprise-scale data environments.

Why should you join us?

  • Because we can count on each other, we form a professional and human community.
  • Opportunity to participate in professional trainings, conferences.
  • With your success and professional knowledge, you can build your career continuously.
  • Stable company, market leading customers.
  • You can participate in exciting team buildings and events.
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