Data Engineer
Tasks
- Analyze business requirements
- Assess existing data implementations
- Create data documentation and operating procedures
- Design data architecture
- Develop data solutions
- Drive Data and AI use cases to production
- Integrate data from multiple sources
- Map business processes to analytics use cases
- Recommend performance usability and architecture improvements
- Test data solutions
- Translate insights into business narratives
Perks/Benefits
- Corporate discounts
- Digital learning
- Four-day work week
- Health insurance
- Hybrid working flexibility
- Mentoring
- Sponsored mental health support
- Training programme
- Weekly Get Togethers
Skills/Tech-stack
AWS | Agile | Airflow | Apache Spark | Artificial Intelligence | Azure | Azure Data | Azure Data Factory | Data Factory | Data Modelling | Data Visualization | Data integration | Databricks | Generative AI | Git | Google Cloud | Machine Learning | Power BI | Python | Qlik | SQL | Scrum | Snowflake | Tableau
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Analytics | Analytics Engineer | Data Engineer | Data Scientist | Engineer | Scientist
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