Responsibilities:
Develop and maintain scalable and robust data management systems, ETL pipelines, and orchestration workflows.
Design and implement effective data models, focusing on dimensional modelling techniques for data warehousing.
Optimize data storage and retrieval, ensuring data quality and an efficient performance.
Implement data security and compliance measures.
Collaborate with stakeholders to understand data needs and deliver solutions.
Utilize Python for automated data processes, SQL for data manipulation, and Airflow for workflow management.
Monitor and troubleshoot ELT pipelines.
Mentor junior team members and contribute to data governance practices.
Role Requirements:
Ideally possess a Bachelor’s in Computer Science or related field or equivalent experience.
Strong Data engineering experience with a focus on data warehousing.
Possess expertise in both SQL & Python
Cloud Data Warehouse Experience - AWS Redshift ideally
Orchestration Tools experience - Apache Airflow ideally
ELT/ETL experience - DBT ideally
Dimensional Modelling experience - Beneficial
Strong analytical, problem-solving, and communication skills.
Benefits
We provide generous benefits that support our employees’ wellbeing, no matter where they’re located. We also offer region-specific benefits, like fully-stocked office kitchens, commuter perks, and more!
Flexible, hybrid working
Flexible paid time off
Medical, Dental, and Vision Coverage
401k matching
Wellness benefits
Siemens employee discounts
Bravely career coaching
Benefits may vary depending on location
