Senior Data Engineer (all gender)
Tasks
- Automate data workflows and data integration processes
- Build and maintain data foundation for analytics and business decisions
- Collaborate with analysts business stakeholders and technical teams
- Design and maintain data pipelines for data collection transformation and integration
- Develop scalable data models for reporting and analysis
- Improve data architecture workflows and processing performance
- Monitor data pipelines ensure data quality and resolve inconsistencies
- Share knowledge document data models pipelines and automation processes
- Translate business requirements into scalable data solutions
Perks/Benefits
- Equal opportunity employment
- Fitness First membership
- Home office up to 50 percent
- Hybrid work
- Individual development plan
- Sabbatical
- Training and workshops
- Workation up to 6 weeks per year
Skills/Tech-stack
Automation | Data Modeling | Data Pipeline Architecture | Data Quality | Data integration | Data pipeline | ELT | ETL | JavaScript | KNIME | Microsoft SQL | Microsoft SQL Server | Pipeline architecture | Power Apps | Python | SQL | SQL Server
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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