Bulldogjob
Stacjonarnie
Senior
Senior Data Engineer - Data Platform Engineering
⚲ Krakow
Do uzgodnienia
Wymagania
- Python
- SQL
Opis stanowiska
We are looking for a Senior Data Engineer specialising in Data Platform Engineering to join a project focused on observability and embedded analytics for a leading automotive Client.
The project aims to establish a scalable and maintainable data foundation that transforms logs, events, measurements and telemetry from embedded, cloud, test and application systems into trusted and reusable data products.
In this role, you will focus on the architecture and engineering of the data platform, including pipelines, orchestration, common data models, data quality and operational monitoring.
- Design and implement the target data architecture and production data foundation.
- Build and maintain robust, automated data pipelines and transformations.
- Develop shared data models, schemas and analysis-ready datasets.
Implement data orchestration, data-quality controls, monitoring and lineage.
- Integrate data from embedded, cloud, test and application systems using APIs and other data interfaces.
- Improve platform reliability, scalability, performance and maintainability.
- Support analytical use cases while keeping the underlying data platform reusable.
- Produce operational documentation and support knowledge transfer to Client teams
The project aims to establish a scalable and maintainable data foundation that transforms logs, events, measurements and telemetry from embedded, cloud, test and application systems into trusted and reusable data products.
In this role, you will focus on the architecture and engineering of the data platform, including pipelines, orchestration, common data models, data quality and operational monitoring.
- Design and implement the target data architecture and production data foundation.
- Build and maintain robust, automated data pipelines and transformations.
- Develop shared data models, schemas and analysis-ready datasets.
Implement data orchestration, data-quality controls, monitoring and lineage.
- Integrate data from embedded, cloud, test and application systems using APIs and other data interfaces.
- Improve platform reliability, scalability, performance and maintainability.
- Support analytical use cases while keeping the underlying data platform reusable.
- Produce operational documentation and support knowledge transfer to Client teams
🔍 Dekoder Ogłoszenia
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