Senior Data Engineer (GCP) - Data Contracts & Quality

Inetum; Warszawa; Híbrido; PLN 90 000 - 120 000; Tempo integral

Resumo da oferta

Inetum Polska is seeking an experienced Senior Data Engineer (GCP) to define the architecture and standards for data contracts. You will design and implement contracts, including formats, schemas, validation, and versioning, ensuring automated data quality checks.

Collaborate with product teams, data engineering, BI, and data owners to establish processes for creating and maintaining data contracts, applying governance and quality controls across data platforms.

Qualificações

• Must have hands-on experience with Google Cloud Platform (GCP).
• 4–5 years of practical experience in Data Engineering, Data Governance, or related fields.
• Knowledge of data contracts and tools supporting contract automation (OpenAPI/JSON Schema, CI/CD, data QA).
• Fluent Polish and English (minimum B2).

Responsabilidades

• Define architecture and standards for data contracts within the company.
• Design and implement data contracts, including formats, schemas, validation, and versioning processes.
• Implement automated schema and data quality validations.
• Select tools to support automation of data contracts.
• Establish processes for creating, maintaining, and evaluating data contracts.
• Collaborate with product teams, data engineering, BI, and data owners.

Conhecimentos

GCP

Data governance

Data quality

Data analysis

Cross-functional collaboration

Ferramentas

OpenAPI/JSON Schema

CI/CD tools

Data QA

dbt

Dataform

Knowledge Catalog / Dataplex

Data Catalog

Descrição da oferta de emprego

Inetum Polska is seeking an experienced Senior Data Engineer (GCP) to define the architecture and standards for data contracts. You will design and implement contracts, including formats, schemas, validation, and versioning, ensuring automated data quality checks.

Collaborate with product teams, data engineering, BI, and data owners to establish processes for creating and maintaining data contracts, applying governance and quality controls across data platforms.