XITASO GmbH
Senior AI Engineer(m/w/x)
Full-time/Part-timeOn-siteSenior
Augsburg, Krumbach (Schwaben), Berlin, Erlangen, Leipzig, Münster, München, Karlsruhe
from 76,000 / year
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Designing and evolving canonical data schemas for AI systems at iconic gaming brand Atari. End-to-end data pipeline development and ownership experience required. Building and maintaining production-grade pipelines with diverse source system integration.
Requirements
- End-to-end production data pipeline development and ownership
- Strong data schema design skills
- Experience integrating with diverse source systems
- Hands-on experience with pipeline orchestration tooling
- Data cleaning and transformation expertise
- Experience with vector databases and relational/document stores
- Working knowledge of RAG systems and context assembly
- Experience partnering with AI or ML engineers
- Ability to interrogate and profile data across sources
- Cloud platform experience (AWS, Azure, or GCP)
- Experience in the gaming industry
- Familiarity with game engine data formats, asset pipelines, or platform SDK data structures
Tasks
- Design and own canonical data schemas
- Evolving schemas based on AI system requirements
- Document schema decisions clearly
- Identify and connect to source systems
- Build and maintain production-grade data pipelines
- Keep pipelines current with source changes
- Transform raw data into structured knowledge
- Own data quality end-to-end
- Trace and fix quality issues at the root
- Monitor and maintain data pipeline health
- Run periodic data cleanup
- Manage knowledge deprecation
- Diagnose and fix knowledge gaps
- Understand RAG retrieval and context assembly
- Surface and address knowledge gaps proactively
- Extract and convert specialist knowledge
- Select and manage appropriate data storage
- Implement data lineage and audit trails
- Enforce data versioning and change management
- Build a legible and accessible data estate
- Translate between domain and engineering language
- Work with domain experts to define schema and pipeline requirements
- Inform stakeholders on pipeline health and data quality
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Apache Airflow
- Prefect
- dbt
- Pinecone
- Weaviate
- pgvector
- SQL
- Python
- AWS
- Azure
- GCP
- Xbox GDK
- PlayStation SDK
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Atari, Inc. and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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Designing and evolving canonical data schemas for AI systems at iconic gaming brand Atari. End-to-end data pipeline development and ownership experience required. Building and maintaining production-grade pipelines with diverse source system integration.
Requirements
- End-to-end production data pipeline development and ownership
- Strong data schema design skills
- Experience integrating with diverse source systems
- Hands-on experience with pipeline orchestration tooling
- Data cleaning and transformation expertise
- Experience with vector databases and relational/document stores
- Working knowledge of RAG systems and context assembly
- Experience partnering with AI or ML engineers
- Ability to interrogate and profile data across sources
- Cloud platform experience (AWS, Azure, or GCP)
- Experience in the gaming industry
- Familiarity with game engine data formats, asset pipelines, or platform SDK data structures
Tasks
- Design and own canonical data schemas
- Evolving schemas based on AI system requirements
- Document schema decisions clearly
- Identify and connect to source systems
- Build and maintain production-grade data pipelines
- Keep pipelines current with source changes
- Transform raw data into structured knowledge
- Own data quality end-to-end
- Trace and fix quality issues at the root
- Monitor and maintain data pipeline health
- Run periodic data cleanup
- Manage knowledge deprecation
- Diagnose and fix knowledge gaps
- Understand RAG retrieval and context assembly
- Surface and address knowledge gaps proactively
- Extract and convert specialist knowledge
- Select and manage appropriate data storage
- Implement data lineage and audit trails
- Enforce data versioning and change management
- Build a legible and accessible data estate
- Translate between domain and engineering language
- Work with domain experts to define schema and pipeline requirements
- Inform stakeholders on pipeline health and data quality
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Apache Airflow
- Prefect
- dbt
- Pinecone
- Weaviate
- pgvector
- SQL
- Python
- AWS
- Azure
- GCP
- Xbox GDK
- PlayStation SDK
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Atari, Inc. and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Atari, Inc.
Industry
Entertainment
Description
Atari is an innovative and rapidly growing gaming company, creating immersive experiences for players around the world.
Not a perfect match?
- XITASO GmbH
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