Network Database Engineer
Role details
Job location
Tech stack
Job description
This position ensures data-driven visibility and control across terrestrial, non-terrestrial, and space-based network infrastructures. The role enables predictive analytics, real-time monitoring, and intelligent automation to enhance performance, resilience, and security in mission-critical communication systems., * Define and implement data collection and telemetry strategies across diverse network segments.
- Design telemetry and monitoring architectures for real-time and historical analytics
- Ensure data quality, integrity, and traceability across distributed systems and data pipelines
- Analyze network performance metrics (latency, throughput, jitter, packet loss) to detect anomalies, trends, and optimization opportunities
- Build dashboards, reports, and visualizations for operational and executive decision-makers
- Support capacity planning, SLA compliance, and fault prediction using statistical and machine learning techniques
- Integrate multi-vendor and multi-domain data sources into unified analytics and automation environments
- Collaborate with automation, cybersecurity, and network architecture teams to enable closed-loop optimization and security-relevant data insights
Requirements
Do you have experience in WAN?, * Degree in Data Science, Computer Science, Telecommunications, or a related discipline
- 3+ years of experience in network data analysis, telemetry, or performance monitoring
- Proficiency with analytics tools (Python, R, SQL), visualization platforms (Grafana, Kibana, Power BI), and telemetry protocols (SNMP, NetFlow, sFlow)
- Experience with time-series databases (InfluxDB, Prometheus) and big data platforms (Hadoop, Spark)
- Familiarity with network architectures and protocols such as IP/MPLS, BGP, SD-WAN, 5G/NTN
- Understanding of cybersecurity and anomaly detection techniques is advantageous
- Strong analytical, communication, and stakeholder engagement skills; experience in interdisciplinary settings
- Data or cloud certifications (AWS Data Analytics, Azure Data Scientist) are beneficial
Benefits & conditions
Work Life Balance: Flexible working hours, sabbatical, 30 days vacation & special leave days Mobile Work: Hybrid work & mobile work abroad Structured on-boarding process (incl. Assignment of a buddy in the first months) Development: Extensive range of training courses, individual professional development, German language courses & annual employee dialogue space projects Additional benefits: 13. monthly salary, accident insurance & company pension plan Catering: High standard company restaurant & generous meals subsidy Active health promotion: Health management, E-GYM Wellpass & In-company sports groups Family: Kindergarten subsidy / Kindergarten places, Childcare in the vacation period & paid child sickness days Mobility: Subsidized Deutschland ticket, Job bike & parking lots Company parties & events: Christmas party, Satellite launch events, NextGen Speakers Night Innovation: Company suggestion system & free research and development