Data Engineer

The Nemetschek Group is a leading global vertical software and AI provider driving the digital transformation of the AEC/O and media industries. With our deep domain expertise and intelligent, connected software solutions, we enable customers to turn data into real-time insights and smarter decisions throughout the entire lifecycle of buildings and infrastructure from ideation through planning, visualization, construction, operation, and renovation.
Our AI-powered technologies and open standards approach boost productivity, collaboration, and sustainability for architects, engineers, contractors, building operators, and creative professionals. Over 7 million users worldwide rely on our customer-centric, human-led AI solutions. Founded by Professor Georg Nemetschek in 1963, today we employ over 4,000 experts globally across 14 subsidiaries.

Key Responsibilities

• Design and maintain ELT pipelines using Dataform, SQLX, and BigQuery.
• Implement Bronze, Silver, and Gold data layers and dimensional data models.
• Develop incremental models, reusable JavaScript functions, assertions, and workflow configurations in Dataform.
• Optimize BigQuery SQL, partitioning, clustering, query performance, and compute and storage costs.
• Build and maintain CDC pipelines using Datastream, including handling updates, deletes, and schema evolution.
• Manage GCP infrastructure using Terraform, including BigQuery datasets, Datastream, IAM, and service accounts.
• Implement GitHub-based CI/CD, pull requests, code reviews, and automated Dataform validation.
• Ensure data quality, security, governance, and pipeline monitoring.
• Troubleshoot production failures, perform root-cause analysis, and implement preventive measures.
• Collaborate with BI teams and business stakeholders to deliver reliable, analytics-ready data.

Required Skills

• 6–10 years of experience in Data Engineering.
• Strong hands-on experience with GCP and BigQuery.
• Production experience with Dataform, SQLX, incremental processing, assertions, and dependency management.
• Advanced SQL skills, including window functions, MERGE, ARRAY, STRUCT, UNNEST, and deduplication.
• Experience with BigQuery architecture, dimensional modeling, and cost optimization.

• Working knowledge of Datastream and CDC concepts.
• Experience with Terraform, GitHub, and CI/CD practices.
• Strong troubleshooting, problem-solving, and communication skills.

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