Data Engineer
GBP 54K-76K (estimate) Senior-level Full Time
Tasks
- Adopt modern data technologies
- Align data solutions with business needs
- Author and review technical documentation
- Build data pipelines
- Collaborate with cross-functional teams on data integration
- Define and enforce data engineering standards and governance
- Design scalable high-performance data platforms
- Ensure data security and compliance
- Evaluate select and integrate data tools frameworks and platforms
- Implement data quality security compliance and lineage practices
- Implement data storage processing and retrieval strategies
- Influence data strategy and design decisions
- Provide technical guidance to data engineering team members
Perks/Benefits
- N/A
Skills/Tech-stack
API | AWS | Amazon Kinesis | Apache Airflow | Apache Flink | Apache Kafka | Apache NiFi | Apache Spark | Azure | CCPA | Cassandra | Cloud Native | CloudFormation | Compliance Frameworks | Dagster | Data Governance | Data Lineage | Data Modelling | Data Quality | Data Transformation | Data mesh | Data orchestration | Data virtualization | Database optimization | Docker | ETL | GCP | GDPR | Graph Databases | Gremlin | HIPAA | Hadoop | Infrastructure as Code | Java | Kubernetes | MLOps | Machine Learning | Machine Learning Pipelines | MongoDB | Neo4j | NoSQL | OCI | Performance Tuning | PostgreSQL | Prefect | PubSub | Python | Real Time | Real-time Streaming | SQL | Scala | Security controls | Terraform | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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