The bTV Media Group is a leading source of information on the Bulgarian market with a high level of trust among viewers. As part of the Central European Media Enterprises (CME) family, owned by the international company PPF Group, we reach millions through television, radio, and digital channels. We stand for innovation, creativity, and excellence while also committing to meaningful social causes and civic initiatives.
We believe in digital transformation as the key to our future success. Embracing new technologies allows us to anticipate user needs and deliver content in innovative ways.
At bTV, you’re part of what matters.
The Role
We are looking for a Senior Data Platform Engineer to help build and operate a modern cloud data platform that powers analytics, BI, and AI use cases. This role combines analytical warehouse engineering, data platform design, and core cloud infrastructure responsibilities. You will optimize warehouse performance, manage secure and scalable platform services, improve CI/CD and observability, and provide the technical foundations that enable reliable data products
Отговорности
Manage and optimize BigQuery environments, including datasets, materialized views, partitioning, workload performance, and cost efficiency.
Build and maintain platform capabilities for real-time and analytical workloads using technologies such as ClickHouse and object storage services.
Design and support data platform architecture across warehouse, lake, and multi-store patterns to meet analytics and ML consumption needs.
Develop and maintain semantic layer foundations and metadata/catalog capabilities to improve discoverability, consistency, and reuse.
Implement and enforce platform security controls, including IAM, encryption, key management, and role-based data access patterns.
Provision and manage cloud resources across projects, networking, orchestration services, and supporting platform components.
Develop and maintain infrastructure as code using Terraform and support reliable CI/CD workflows for platform delivery.
Set up and improve monitoring, operational dashboards, and platform-level observability for performance, reliability, and incident response.
Partner with analytics, engineering, and data science teams to provide well-governed, scalable data services and self-service platform capabilities.
Изисквания и необходими умения
Strong hands-on experience with BigQuery or a comparable cloud analytical warehouse platform.
Solid experience with cloud infrastructure engineering in GCP or a similar cloud environment.
Good knowledge of SQL and Python for platform administration, automation, and troubleshooting.
Experience with Terraform or similar infrastructure-as-code tooling.
Experience with IAM, KMS, encryption, access control, and secure platform design.
Understanding of CI/CD pipelines, orchestration platforms, monitoring, and operational reliability practices.
Ability to balance platform scalability, performance, governance, and cost optimization.
Strong collaboration skills across engineering, analytics, and business-facing teams.
Experience with ClickHouse, Minio, Dataplex, or similar ecosystem tools.
Exposure to ML enablement patterns or platform services used by analytics and data science teams.
Ние Ви предлагаме
Discounts and special deals in various stores
Professional and cooperative team
Trainings
Great location (and a metro station near the office)
