Consultant DATA designing and developing data solutions for major clients in the financial sector. Responsibilities include ETL, data quality assurance, and collaboration with technical teams.
Responsibilities
Design and develop high-performance data processing and analytics solutions.
Implement and automate ETL pipelines for data ingestion, transformation, and modeling.
Process large volumes of data from diverse sources (internal and external).
Develop analysis and automation scripts in Python and SQL.
Create and maintain dashboards and business reports using BI tools.
Ensure data quality, reliability, and compliance with applicable standards.
Collaborate with technical and business teams to understand business needs and translate them into concrete solutions.
Contribute to the overall data strategy, supporting innovation and data governance.
As an operational consultant, the DATA Consultant will act as a subject matter expert to support colleagues when specialized expertise is required.
Requirements
Minimum 3 to 5 years in similar roles (Data Engineer, Data Analyst, or Data Scientist).
Key technical skills:
Languages & tools: Python, SQL, Pandas, NumPy, PySpark.
Databases: PostgreSQL, SQL Server, Oracle, or equivalent.
ETL / Automation: Airflow, Talend, dbt, or similar tools.
Visualization: Power BI, Tableau, or equivalent.
Data formats: CSV, JSON, Parquet.
Environments: Linux, Git, Docker.
Knowledge of development best practices and DataOps concepts.
Bachelor’s degree in Computer Science.
English and French are required; an additional language is a plus.
Benefits
Opportunity to take on new challenges within a company known for its excellent work environment.
Benefit from a diverse and extensive client network.
Work in a friendly environment with numerous social and technical events.
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