Тип вакансії: Повна зайнятість

Розташування:

About the project:
Build the core data engineering capability that enables AI agents, analytics products, and business workflows to securely discover, access, combine, govern, and activate data across enterprise systems, client environments, media platforms, and third-party providers.
We are seeking a senior engineering specialists who will be responsible for implementation and delivery of key platform capabilities. While architecture leadership is provided by the platform architecture team, this specialist is expected to bring deep expertise, contribute to solution design, challenge assumptions, and guide implementation decisions based on industry experience.

Job Description
Implement governance, security, compliance, and commercial control capabilities across the platform.
Strong experience with SQL, Python, and cloud-based platforms like AWS, GCP, or Azure.
Solid understanding of data modelling, pipelines and orchestration tools (Airflow, dbt, or similar).
Familiarity with modern data ecosystems e.g. Spark, Databricks, Snowflake, BigQuery or Redshift.
Experience working with CI/CD, version control and testing best practices.
A proactive approach to solving problems and improving systems.
Excellent communication skills you can translate technical concepts into language anyone can understand.
A passion for data and how it can drive better decisions in media, marketing and beyond.
Experience with technologies and platforms such as
Purview, Collibra, Alation, Immuta, Unity Catalog, Apache Ranger
Enterprise identity and access management solutions
Data lineage, audit, privacy, and compliance frameworks
Governance and policy enforcement platforms

Job Responsibilities
Implementing access controls and entitlement services
Building policy enforcement capabilities
Delivering lineage, audit, and monitoring solutions
Supporting compliance, privacy, and commercial governance requirements
Enabling secure data sharing across platforms and partners
Providing governance expertise during platform implementation

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