Description
Hybrid data-analysis and data-engineering role bridging business requirements, data modelling, reporting and ETL delivery.
Key responsibilities
- Translate business needs into clear data models and technical specifications.
- Design and maintain star and snowflake data models for analytics and reporting.
- Develop high-performance dashboards and reports and maintain data definitions, lineage and dictionaries.
- Design, build, test and optimise ETL/ELT pipelines and automated data-quality controls.
- Own delivery from requirements gathering through implementation and stakeholder adoption.
Requirements
- Advanced SQL, including complex queries, joins, optimisation and stored procedures.
- Relational databases, data warehousing and Kimball modelling principles.
- Experience with Stambia, or strong experience with an equivalent ETL technology such as Talend, Informatica, SSIS, Azure Data Factory or dbt.
- French at minimum B2 for professional stakeholder interaction.
- Fluent written and spoken English.
- Strong communication, analytical thinking, autonomy and ownership.
Preferred / differentiating requirements
- Power BI, including DAX and Power Query / M.
- Banking, finance or insurance data experience.
- Azure, AWS or GCP.
- Python or Unix/Linux scripting.
Benefits
The benefits will be determined once the contractual terms have been established.