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About the Role
We are seeking two Data Analysts/Engineers to provide technical input on data platforms and enhance analytics. You will design, build, and maintain data pipelines and assets for enterprise querying and analytics, manage datasets for feature engineering, and implement data integration using ETL tools, preferably with GCP experience. Additionally, you will set up data quality checks and collaborate with various teams.
Responsibilities
- Provide technical input on data platforms and emerging technologies to enhance analytics.
- Design, build, and support data pipelines for data acquisition, aggregation, refinement, and secure movement.
- Develop and maintain data assets for enterprise querying and analytics.
- Manage datasets to support feature engineering, APIs, and ingestion processes.
- Build, publish, and maintain reusable data assets for real-time and analytical consumption.
- Design, implement, and document data architecture and data models.
- Implement data integration using ETL and other data tools across databases, systems, and platforms.
- Set up data quality checks, monitoring, and alerting for analytics data flows.
- Collaborate with data wranglers, data scientists, and technical/development teams.
Requirements
- Hands-on GCP experience preferred.
Skills
- Data Analysis
- Data Pipelines
- Data Assets
- Feature Engineering
- APIs
- Ingestion Processes
- ETL
- Data Architecture
- Data Models
- Data Integration
- Data Quality Checks
- Monitoring
- Alerting
Location
- London
Work Type
- Hybrid (3 days a week in office)