Build ETL/ELT flows from various source systems for ingestion into our Datawarehouse.- Design, model and create efficient database structures that are optimised for reporting.
- Implement Datawarehouse processes to specifications and gather/clarify further business requirements if required
- Work in a state of continuous improvement, always looking to improve current/future processes with new technologies or optimised code.
- Identify bottlenecks within current processes and have a keen eye for any tuning that is necessary.
- Create/enhance current DWH monitoring processes.
- As and when required, training of both technical and non-technical users.
- Take part and contribute to planning sessions with the broader team.
- Document processes and concepts.
A proactive, self-starter mindset- Excellent communication skills in English and the ability to communicate with technical and non technical stakeholders alike
- Bachelors degree in Computer Science of similar
- 5+ years experience with the delivery of reporting/data warehouse projects, involved in implementation of the end-to-end process, including data governance.
- Experience with Advanced SQL/T-SQL/SSIS is a must.
- Experience of working with Microsoft Azure and Azure Data Factory and Microsoft Power BI would be a plus
- Knowledge/experience of working with data and systems of a financial investment nature and/or in a consulting environment are considered as a plus.
- Experience with scripting languages such as R, or Python are a plus.
- Experience in working in an Agile environment would support in this role
Company
Location
Zürich - Switzerland
Job type
Full-Time
Python Job Details
On behalf of our client, a well-established pioneer in the field of impact investment, we are currently looking for a Senior Data Engineer
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