Role Overview
As a Data & Analytics Engineer at Silverfin, you will own data at the company and be the face of data in the organization. You will be responsible for building data products that teams trust and shaping the long-term data roadmap.
What You Will Do
Your responsibilities will include defining and driving Silverfin’s data roadmap, critically assessing the current data setup, and proposing improvements. You will also be responsible for building and maintaining data pipelines and integrations, developing and maintaining robust data models, and monitoring the health and performance of the data platform.
Why It Might Be a Fit
The ideal candidate will have experience in data engineering, analytics engineering, or BI, including end-to-end ownership of a data platform or data domain. You will be able to bring relevant data and AI developments to the table and turn the most promising ones into working solutions.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, Business Engineering or a related field, or equivalent experience
- At least 5 years of experience in data engineering, analytics engineering or BI, including end-to-end ownership of a data platform or data domain
- Hands-on experience building and maintaining data pipelines and data models in a cloud data warehouse, preferably BigQuery on Google Cloud
- Proven experience setting up or improving data governance, and in shaping a data roadmap together with business stakeholders
- Experience in a SaaS environment is strongly preferred
Benefits
- Competitive rewards package
- Benefits tailored to your role
- Regular team activities, retreats, and offsites
- Career development opportunities
- Personal training allowance
- Wellbeing Days off each month
- Hybrid setup with a minimum of two days a week in the office
- Flexibility to accommodate unexpected events
- Company-wide Wellbeing Days off each month
To apply for this job please visit linkedin.com.
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