Data Engineering Lead (Data Acquisition)
GBP 60K-63K (estimate) Senior-level Full Time
Tasks
- Build batch and streaming pipelines
- Define target state ingestion patterns
- Drive resilience recoverability and cyber hygiene
- Implement CI/CD and automated testing
- Industrialize onboarding of data sources
- Lead Azure data platform design and build
- Lead data engineers and conduct design reviews
- Lead incident, change, and problem management
- Maintain SLAs observability and runbooks
- Manage data lifecycle and audit trail
- Measure and report service health and user satisfaction
- Own ingestion strategy
- Shape epics and stories with acceptance criteria
- Standardize connectors schemas contracts controls
- Steward data definitions ownership lineage metadata quality KPIs access policies
- Translate business requirements into acquisition backlog
Perks/Benefits
Skills/Tech-stack
API Integration | Agile | Apache Spark | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure Databricks | Azure Synapse | Azure Synapse Analytics | CI/CD | Change Data Capture | Data Capture | Data Factory | Data Lake Storage | Data Lineage | Data Modeling | DevOps | Event Hubs | Infrastructure as Code | Kafka | Metadata Management | PySpark | Python | SQL | Schema management | Synapse Analytics | Test automation | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Data Engineering | Data Engineering Lead | Engineering Lead | Lead
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