Senior Data Engineer

Tasks

• Architect data platforms
• Build scalable data architecture
• Collaborate with product engineering DevOps and analytics
• Develop ETL/ELT pipelines
• Ensure GDPR and SOC 2 compliance
• Implement data governance and security
• Ingest real time telemetry and API data
• Integrate ML and AI workflows
• Manage ingestion processing and delivery
• Optimize data models
• Optimize infrastructure cost concurrency
• Provision datasets for machine learning
• Tune performance for low latency

Perks/Benefits

• Career progression
• Open holiday policy
• Professional development
• Remote Working
• Supportive inclusive culture
• Volunteering support

Skills/Tech-stack

AWS | AWS Glue | AWS Lambda | Amazon Athena | Amazon Kinesis | Amazon S3 | Amazon SageMaker | Apache Airflow | Apache Kafka | Apache Spark | Data Governance | Data Modeling | Data Security | Databricks | ELT | ETL | GDPR | Java | Looker | MLOps | Python | Query Optimization | Real Time | Real-time Streaming | SOC 2 | SQL | Scala | Schema Design | Snowflake | Tableau | TensorFlow