Tasks:
- * Champion data quality governance and security
- * Contribute to data platform strategy and evolution
- * Design and maintain data pipelines and ETL processes
- * Establish engineering practices for code quality, testing, documentation, and observability
- * Implement data integration patterns
- * Improve data engineering practices and tooling
- * Lead data architecture and data model design
- * Mentor data engineers
- * Optimise data platforms for performance, scalability, reliability, and cost
- * Translate business requirements into technical solutions
- * Troubleshoot complex data issues
Perks/Benefits:
- + Birthday off
- + Career opportunities
- + Employee discounts
- + EV charging
- + Free on-site parking
- + Hybrid work
Skills/Tech stack required:
[Airflow] [Azure] [Azure DevOps] [CI/CD] [Data Architecture] [Data Engineering] [Data Modelling] [Data pipeline] [Data pipeline optimisation] [Data Warehousing] [DBT] [DevOps] [Dimensional Modelling] [ETL/ELT] [Git] [Pipeline optimisation] [Python] [Snowflake] [SQL]
Educational requirements:
N/A
Role(s):
[Data Engineer] [Engineer] [Senior Data Engineer]