Data Engineering Lead
Tasks
- Build high-throughput low-latency data processing systems
- Collaborate with stakeholders
- Define solution approach and technical direction
- Design and build batch and streaming pipelines
- Develop cloud native data platforms on AWS
- Ensure solutions are secure tested observable and cost efficient
- Lead end-to-end data engineering delivery
- Mentor and coach engineers
- Operate production data systems
- Optimize data performance reliability and data quality
- Orchestrate data workflows with Airflow
- Provide technical governance and design reviews
- Transform and model data with dbt
- Troubleshoot production issues
- Write testable production code
Perks/Benefits
- Bike to work
- Career progression mentorship coaching
- Educational assistance
- Employee assistance programme
- Employee discount scheme
- Enhanced maternity and paternity leave
- Fitness classes
- Flexible remote working
- Generous holiday allowance
- Gym discounts
- Incentivized certifications
- Life assurance
- Mindfulness workshops
- Pension
- Private healthcare
- Quarterly performance profit share
Skills/Tech-stack
AWS | Airflow | Apache Spark | Batch Processing | CI/CD | DBT | Data Modeling | Data Quality | Databricks | Java | Monitoring | Observability | PostgreSQL | Python | Relational databases | SQL | SQL Server | Streaming processing | Testing
Education
N/A
Roles
Data Engineer | Data Engineering | Data Engineering Lead | Engineer | Engineering Lead | Lead | Tech Lead
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