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Senior Data Engineer – 28351
The Emerald Group
London
On-site
GBP 60,000 - 80,000
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Job summary
An established industry player is seeking a Senior Data Engineer to enhance their data engineering capabilities. This pivotal role involves designing and maintaining robust data pipelines using Google Cloud Platform and BigQuery, ensuring seamless data accessibility across teams. You'll manage resource allocation, oversee daily operations, and collaborate closely with Back End services and Data Science departments. If you have a passion for data engineering and a desire to make a significant impact in a rapidly growing business, this opportunity is perfect for you.
Qualifications
- 5+ years of experience in data engineering with a focus on GCP and BigQuery.
- Proven track record in designing and optimizing data pipelines.
Responsibilities
- Design, develop, and maintain tools for data engineering.
- Oversee daily operations ensuring data pipeline efficiency.
Skills
Data Engineering
Google Cloud Platform (GCP)
BigQuery
SQL
Data Pipeline Design
Data Visualization
dbt
Education
Degree in Computer Science
Degree in Engineering
Related Field Degree
Tools
Looker
Job description
Looking for an experienced Senior Data Engineer with a strong background in Google Cloud Platform (GCP / BigQuery) to join their rapidly growing business.
- Location: London
- Category: Data
- Type: Permanent
Key Duties (Including but not limited to):
- Design, develop, and maintain umbrl’s tools for data engineering.
- Manage resource allocation and budgeting within the data engineering function.
- Oversee daily data engineering operations, ensuring the efficiency and reliability of data pipelines and infrastructure.
- Be the primary point of contact for internal teams and stakeholders regarding data engineering processes.
- Work closely with other departments, such as Back End services and Data Science, to ensure seamless integration and accessibility of data across all teams.
Minimum Requirements:
- Degree in Computer Science, Engineering, or a related field.
- 5+ years of experience in data engineering. Experience with GCP services (namely Pub/Sub and BigQuery) is a must.
- Demonstrated experience in designing and building data pipelines and optimizing existing data workflows for performance, scalability, and reliability. Experience with dbt is a must.
- Knowledge of data visualization tools and integrations. Experience with Looker highly preferred.
- Advanced working SQL knowledge and experience working with relational databases.
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