Senior BigQuery Engineer designing and implementing cloud-native data solutions for financial datasets at Deutsche Bank. Collaborating in an agile environment with a focus on data quality.
Responsibilities
Design, develop, and maintain scalable data warehouse solutions in BigQuery
Design and implement a cloud-native data warehouse
Optimize performance through partitioning, clustering, query tuning, and workload management
Build data processing pipelines and workflows feeding BigQuery
Implement data quality checks, validation frameworks, and reconciliation processes
Work closely with product owners and analysts
Requirements
University degree in computer science or a comparable qualification
At least 5 years of data engineering experience
Strong SQL knowledge, preferably on Google Cloud Platform (GCP)
Experience orchestrating workflows with Cloud Composer (Apache Airflow)
Hands-on experience building data processing pipelines using Dataflow
Good understanding of data warehousing concepts
Experience using Bitbucket for Git-based source control
Nice to have: Hands-on experience with Python/PySpark
Knowledge of shell scripting
Experience in financial services or regulated environments
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