
51 - 200 employees
📡 Telecommunications
🔒 Cybersecurity
Telecommunications • Cybersecurity
Webbing is a global data MVNO that delivers innovative enterprise-grade global connectivity and IoT services. With a secured network of over 600 mobile carriers across more than 200 countries, Webbing ensures superior data connectivity between businesses, people, and devices regardless of their location. Founded in 2010, the company specializes in developing advanced SIM technology and management platforms, offering a streamlined solution for organizations to manage their global fleet of devices. Their software allows enterprise customers to oversee and optimize data usage in real-time, promoting compliance and cost savings. Webbing combines the reach of a global carrier with the quality of a local one, offering unique, flexible solutions.
🔥 0 minutes ago
Improve your chances of getting an interview by checking your resume score before you apply.

51 - 200 employees
📡 Telecommunications
🔒 Cybersecurity
Telecommunications • Cybersecurity
Webbing is a global data MVNO that delivers innovative enterprise-grade global connectivity and IoT services. With a secured network of over 600 mobile carriers across more than 200 countries, Webbing ensures superior data connectivity between businesses, people, and devices regardless of their location. Founded in 2010, the company specializes in developing advanced SIM technology and management platforms, offering a streamlined solution for organizations to manage their global fleet of devices. Their software allows enterprise customers to oversee and optimize data usage in real-time, promoting compliance and cost savings. Webbing combines the reach of a global carrier with the quality of a local one, offering unique, flexible solutions.
• Own every database underpinning the multi-site telecoms services platform, from core BSS/OSS/NOC modules to PostgreSQL application stores • Maintain interfaces to vendor-managed databases inside HSS, OCS, PCRF, and SMSC nodes • Ensure mediation pipelines bringing network data into required systems are reliable, complete, and governed by clear data-handling policies • Build backup, restoration, and disaster-recovery frameworks for BSS and network-layer PostgreSQL clusters • Optimize performance through index strategies, query tuning, table partitioning, and vacuuming schedules • Develop bulk data pipelines for imports, exports, migrations, and timed purges of subscriber CDRs and event records • Design and enforce data handling, retention, archival, and compliance policies • Create database monitoring dashboards and alerting for replication lag, lock contention, query performance, and disk saturation • Develop installation and upgrade playbooks for PostgreSQL instances • Build cross-platform data integration between BSS mediation and network-element databases • Advise BSS and Workflow engineering teams on schema and data architecture • Implement roles, privileges, row-level security, and audit logging across database tiers • Maintain runbooks and knowledge base for database operations, disaster recovery, and incident response • Serve as the senior individual contributor and go-to expert for database topics across the BSS and NOC stack
• Strong hands-on PostgreSQL administration: installation, configuration, replication (logical/streaming), upgrade, and vacuum tuning • Proven backup and restore experience: pg_dump, pg_basebackup, WAL archiving, point-in-time recovery, and DR testing • Query performance analysis: EXPLAIN/ANALYZE, index design (B-Tree, partial, composite), and schema-level optimisation • Bulk data operations: large COPY/INSERT loads, logical replication for live migrations, and automated purge/archival pipelines • Data governance: designing and documenting retention, archival, masking, and access-control policies • Scripting in Python or Bash for automation of backup jobs, health-check scripts, and bulk-load utilities • Experience with containerized database deployments (Docker / Kubernetes) • Monitoring: setting up Prometheus postgres_exporter, building Grafana dashboards for database KPIs • High-availability patterns: replication failover, connection pooling (PgBouncer / Pgpool), read-replica routing • Ability to work independently across multiple concurrent projects in a distributed, async-first team • Multi-datacenter replication and active-passive failover between geographically distributed clusters • Experience with telecoms BSS/OSS platforms (billing, subscription management, or mediation systems) • Familiarity with network-element databases: HSS (HLR), OCS, PCRF, SMSC, or PGW data models • Data compliance experience (GDPR subscriber data, CDR retention regulations in EU jurisdictions) • Exposure to mediation layer data formats (ASN.1, IPDR, Diameter AVPs) • Experience with BI or reporting extracts from operational BSS databases
• Fully remote • Great skill and knowledge development opportunities • Professional development opportunities • Opportunity to join a team of highly professional specialists in an international environment • Opportunity for professional development within a reputable international innovative and growing company
Apply Now🔥 2 hours ago
Data Engineer building scalable lakehouse, ETL, and streaming infrastructure for adorsys’s AI-powered accounting and finance automation services. Modernizing the platform with Kubernetes and Apache Iceberg by 2026.
Apache
AWS
Azure
Cloud
Distributed Systems
Docker
ETL
Google Cloud Platform
Grafana
Java
Jenkins
Kafka
Kubernetes
Prometheus
Python
RDBMS
Scala
Spark
Splunk
SQL
Terraform
🔥 3 hours ago
Senior Consultant engineering Azure data and AI platforms for Wavestone’s strategic consulting clients. Building pipelines, lakehouses, AI agents, and LLM-powered data solutions.
🗣️🇩🇪 German Required
Azure
Cloud
ETL
PySpark
Python
SQL
🕒 6 days ago
501 - 1000
Data Engineer building scalable data platforms for Chatham Financial, a capital-markets advisor using technology to reduce risk and seize opportunity. Developing pipelines, models, and cloud data solutions supporting analytics and client products.
Airflow
Azure
Cloud
Docker
ETL
Python
SDLC
SQL
Terraform
Vault
🕒 July 29
Senior Python Data Engineer developing and operationalizing solutions for AI-native products with a focus on data engineering in Romania. Collaborating with global teams and engaging in data visualization efforts.
Cloud
Python
React
SQL
Tableau
🕒 July 28
Data Engineer at dot.cards responsible for building data pipelines and analytics models. Collaborating across teams to drive outcomes through data activation.
SQL