Staff Data Engineer
Tasks
- Build real-time and batch data pipelines
- Deliver cross team data initiatives
- Design and evolve data platform systems
- Establish golden paths for secure consistent development
- Identify systemic risks and reduce unnecessary complexity
- Improve reliability scalability performance and cost efficiency
- Lead data platform technical direction
- Mentor engineers through design reviews code reviews documentation and collaboration
- Partner with security compliance product and engineering for regulatory requirements
- Strengthen engineering standards for data modelling observability testing and deployment automation
Perks/Benefits
- Annual training budget
- Birthday leave
- Commuter benefits
- Cycle to work scheme
- EV salary sacrifice
- Employee referral program
- Enhanced parental leave
- Enterprise AI tool access
- Equity package
- Flexible time off
- Home office setup allowance
- Hybrid working
- Lunch Credit
- Monthly product budget
- Moonshot award
- Pay for performance equity bonus
- Pension
- Private healthcare
- Remote company offsites
- Remote working allowance
- Wellness membership
- Zero fee crypto transactions
Skills/Tech-stack
Apache Airflow | Apache Beam | Apache Kafka | Batch Processing | BigQuery | Bigtable | Cloud platform | Data Governance | Data Observability | Data Quality | Deployment Automation | Event Driven | Event-driven architecture | Google Cloud | Google Cloud Platform | Infrastructure as Code | Kubernetes | Machine Learning | PubSub | Python | Redis | SQL | Streaming processing | Terraform | “as-code”
Education
N/A
Roles
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