The Role
The Data Engineer will design, build, and optimize data pipelines using Python and Azure technologies, focus on ETL processes, and collaborate with data teams.
Summary Generated by Built In
Responsibilities
- Design, develop, and optimize scalable data pipelines using Python and Azure Data Services.
- Build and manage data workflows using Azure Data Factory, Databricks, and Azure Synapse Analytics.
- Develop and maintain ETL/ELT processes to support analytics and reporting.
- Collaborate with data scientists and analysts to support data needs and enable actionable insights.
- Ensure data integrity, governance, and security across all platforms.
- Monitor and troubleshoot data pipeline performance and reliability.
- Write clean, testable, and efficient code following best practices.
- Participate in code reviews and documentation.
Profile
- Bachelor’s degree in Computer Science, Engineering, or a related field.
- 5+ years of experience in data engineering or a similar role.
- Strong proficiency in Python for data manipulation and pipeline development.
- Hands-on experience with Azure Data Services (e.g., Azure Data Factory, Azure Databricks, Azure Synapse, Azure Blob Storage)
- Experience with SQL and relational/non-relational databases (e.g., SQL Server, Cosmos DB).
- Familiarity with data modeling, warehousing, and performance tuning.
- Understanding of CI/CD pipelines and version control (e.g., Git).
- Excellent problem-solving and communication skills.
- Experience with big data tools such as Spark or Kafka.
- Knowledge of DevOps practices and tools (e.g., Azure DevOps).
- Exposure to machine learning workflows or MLOps.
- Certification in Microsoft Azure (e.g., Azure Data Engineer Associate).
Top Skills
Azure Data Factory
Azure Data Services
Azure Databricks
Azure Devops
Azure Synapse Analytics
Kafka
Python
Spark
SQL
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The Company
What We Do
VISEO uses technology as a powerful lever of transformation and innovation to help its clients take advantage of digital opportunities, address new usages and compete with new players who change the rules of the game.
With 2,700 employees working on 5 continents, VISEO combines agility and complementarity of its areas of expertise – design of new products and services, digitization of business processes, data valuation, digital assets development - to make digital a real lever of competitiveness and performance.
