Job Openings JR-172831 Data Platform Support Engineer Senior

About the job JR-172831 Data Platform Support Engineer Senior

Job (Project) Description:

We are looking for a skilled Data Platform Support Engineer Senior to join our team and help maintain and improve our enterprise Data & Analytics platform.

Location:

Europe

Responsibilities:

  • Support and maintain the end-to-end Data & Analytics platform, ensuring stability, performance, and reliability across ingestion, processing, storage, semantic models, and BI reporting
  • Handle L2/L3 incident management, troubleshooting, root cause analysis, and SLA compliance
  • Support Azure Synapse pipelines, data processing workloads, SQL/Spark transformations, and data models
  • Maintain and troubleshoot Power BI datasets, reports, refreshes, and capacities
  • Monitor platform health, implement alerting, dashboards, and operational improvements
  • Contribute to CI/CD, Git workflows, deployments, and DevOps best practices
  • Support data governance, data quality, security, and access management
  • Collaborate with Product Owners, Service Managers, and Business stakeholders
  • Create documentation and improve operational processes

Requirements:

  • 6+ years of experience in data engineering, analytics platform support, or data platform operations

  • Strong experience supporting production data platforms in enterprise or managed services environments

  • Hands-on experience with:
    • Azure Synapse Analytics

    • Synapse Pipelines

    • Data Lake / Warehouse architectures

    • SQL and Spark-based transformations

    • Power BI datasets, semantic models, and refresh processes

  • Experience with incident management, troubleshooting, monitoring, and performance tuning

  • Knowledge of CI/CD, Git, automated deployments, and multi-environment support

  • Understanding of data security and access management (RBAC)

  • Strong communication skills and ability to work with technical and business stakeholders

  • Upper-Intermediate+ English

Nice to have

  • Experience with managed analytics services or Excellence Centers

  • Knowledge of SLA/KPI management and service improvement

  • Experience with data governance, lineage, and monitoring frameworks

  • Familiarity with Azure FinOps and Power BI capacity optimization

What We Offer:

  • Competitive salary;

  • 100% remote opportunity;

  • Flexible work environment (in-office, remote, or hybrid depending on preferences and manager approval);

  • Opportunities for professional growth and career advancement;

  • Collaborative and innovative work environment;

  • Paid time off, including holidays, vacation and sick leave;

  • Benefits may vary by location and will be confirmed during the interview process.


Job ID: JR-172831