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 Lead Analytics Engineer to help build and scale a modern data platform. This role sits at the intersection of data engineering, analytics modeling, and data governance. You will design and orchestrate data workflows, develop curated and serving-layer models, define KPI logic, and establish quality and governance standards that enable trusted analytics and downstream AI/ML use cases.
Отговорности
Design, build, and maintain orchestration workflows using Airflow.
Develop and optimize curated and serving-layer models using dbt.
Implement data transformations such as cleaning, deduplication, patterns, and schema harmonization.
Build dimensional models, marts, and KPI logic for reporting and advanced analytics.
Define and maintain KPI definitions, business glossary standards, and semantic consistency across data products.
Configure and optimize datasets in BigQuery for analytical workloads.
Implement data quality and governance controls, including automated tests, lineage validation, and metadata standards.
Establish and improve end-to-end testing frameworks for pipelines and transformations.
Partner with upstream and downstream teams to ensure reliable, well-documented, high-quality data delivery.
Support BI, analytics, and data science teams with trusted datasets and reusable data assets.
Изисквания и необходими умения
Strong experience with SQL and modern analytical data platforms, especially BigQuery.
Hands-on experience with dbt, including models, tests, macros, documentation, and layered transformations.
Experience building and operating workflows in Airflow or similar orchestration tools.
Strong Python skills for data processing, pipeline logic, testing, and automation.
Solid understanding of dimensional modeling, KPI design and data transformation patterns.
Experience implementing data quality, governance, and metadata practices in production environments.
Familiarity with Git-based development workflows and CI/CD practices.
Ability to work across engineering, analytics, and business teams to translate requirements into scalable data products.
Experience with real-time or near-real-time analytics environments.
Familiarity with cloud-based analytics tooling in GCP.
Ние Ви предлагаме
Discounts and special deals in various stores
Professional and cooperative team
Trainings
Great location (and a metro station near the office)
