Senior Data Engineer and Cloud Architect

2 days ago


Budapest, Budapest, Czech Republic IDBC Creative Solutions Kft. Full time

At IDBC Creative Solutions Kft., we're seeking a highly skilled Senior Data Engineer and Cloud Architect to join our team. As a key member of our data engineering team, you will design, build, and manage scalable and reliable data pipelines that support data-driven decision making and machine learning across various products and services.

About the Role
  • We are looking for a talented professional with expertise in cloud data engineering, data platforms, and software engineering to collaborate with stakeholders to understand data requirements, model data flows, transform raw data, ensure data quality, and comply with data governance standards.
  • The ideal candidate will have hands-on experience with Microsoft Azure data platform, data tools and frameworks such as Databricks, Spark, Kafka, and SQL data query language.
  • You will work closely with cross-functional teams to design and document data models, schemas, and flows that meet business and analytical needs, ensuring data quality, completeness, and reliability across data pipelines.

In this role, you will develop and implement data tools, tests, and monitors to optimize data performance and troubleshoot issues, while complying with data governance policies and standards for data security, privacy, and classification.

Key Responsibilities
  1. Data Engineering and Architecture: Design, build, and manage scalable and reliable data pipelines that support data-driven decision making and machine learning across various products and services.
  2. Collaboration and Communication: Collaborate with stakeholders to understand data requirements, model data flows, transform raw data, ensure data quality, and comply with data governance standards.
  3. Cloud Data Engineering: Have hands-on experience with Microsoft Azure data platform, data tools and frameworks such as Databricks, Spark, Kafka, and SQL data query language.
  4. Data Quality and Governance: Ensure data quality, completeness, and reliability across data pipelines, and comply with data governance policies and standards for data security, privacy, and classification.

If you're passionate about building innovative data solutions and working with cutting-edge technologies, we'd love to hear from you



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