We are looking for an experienced Senior Data Engineer to join our Data team and contribute to the design implementation and optimization of scalable and robust data this role you will build and maintain modern data architecture pipelines and models to support a wide range of data-driven initiatives across the organization.
You will collaborate closely with cross-functional teams analysts and project managers to ensure that data is available accessible high-quality and actionable.
Qualifications :
Responsibilities
- Design implement and maintain scalable data architecture including databases data lakes and data warehouses
- Build automate and optimize ETL/ELT pipelines to ingest and process data from various sources
- Integrate heterogeneous data sources into unified high-quality datasets for analytics and reporting
- Ensure data consistency accuracy and reliability across the entire data lifecycle
- Manage and optimize data infrastructure in terms of performance storage and operational costs
- Act as a technical lead coaching other data engineers and promoting development best practices
- Develop and maintain data processing code using Python Spark SQL or similar technologies
- Collaborate with analysts developers and business stakeholders to understand data requirements and deliver solutions
- Ensure the scalability security and performance of data platforms
- Create and maintain clear comprehensive documentation for data processes and architectures
- Monitor and maintain production data pipelines and systems
- Share knowledge and best practices with IT and business stakeholders
Technical skills
Must-have
- Proven experience as a Senior Data Engineer or in a similar role
- Solid experience managing and operating modern data platforms
- Hands-on experience with cloud services (e.g. AWS S3 Athena Glue Redshift or equivalent on Azure/GCP)
- Experience with Databricks or other distributed data processing platforms
- Strong programming skills in Python Spark SQL
- Experience with data processing frameworks and automation
- Knowledge of Agile methodologies (Scrum Kanban)
- Experience with CI/CD tools (Azure DevOps GitLab Jenkins etc.)
- Knowledge of data preparation or orchestration tools (e.g. Dataiku Airflow)
- Relevant cloud certifications are a strong asset
Good-to-have
- Experience in the utilities energy or finance industries
- Familiarity with systems such as CRM or ERP solutions (e.g. Salesforce SAP)
- Experience with Agile project management tools (Azure DevOps Jira)
- Understanding of financial reporting processes
- Additional cloud certifications (Architect SysAdmin)
Soft Skills
- Strong team player with excellent communication abilities
- Able to explain complex technical concepts to non-technical audiences
- Comfortable working in multicultural and cross-functional environments
- Adaptable to evolving technologies and changing business needs
- Strong organizational skills and attention to detail
Education & Professional Background
- Bachelors or Masters degree
- 710 years of experience as a Data Engineer or similar technical role
Languages
- Fluent in French & English
- Dutch is a strong plus
Additional Information :
All our positions are open to people with disabilities
Remote Work :
No
Employment Type :
Full-time
We are looking for an experienced Senior Data Engineer to join our Data team and contribute to the design implementation and optimization of scalable and robust data this role you will build and maintain modern data architecture pipelines and models to support a wide range of data-driven initiative...
We are looking for an experienced Senior Data Engineer to join our Data team and contribute to the design implementation and optimization of scalable and robust data this role you will build and maintain modern data architecture pipelines and models to support a wide range of data-driven initiatives across the organization.
You will collaborate closely with cross-functional teams analysts and project managers to ensure that data is available accessible high-quality and actionable.
Qualifications :
Responsibilities
- Design implement and maintain scalable data architecture including databases data lakes and data warehouses
- Build automate and optimize ETL/ELT pipelines to ingest and process data from various sources
- Integrate heterogeneous data sources into unified high-quality datasets for analytics and reporting
- Ensure data consistency accuracy and reliability across the entire data lifecycle
- Manage and optimize data infrastructure in terms of performance storage and operational costs
- Act as a technical lead coaching other data engineers and promoting development best practices
- Develop and maintain data processing code using Python Spark SQL or similar technologies
- Collaborate with analysts developers and business stakeholders to understand data requirements and deliver solutions
- Ensure the scalability security and performance of data platforms
- Create and maintain clear comprehensive documentation for data processes and architectures
- Monitor and maintain production data pipelines and systems
- Share knowledge and best practices with IT and business stakeholders
Technical skills
Must-have
- Proven experience as a Senior Data Engineer or in a similar role
- Solid experience managing and operating modern data platforms
- Hands-on experience with cloud services (e.g. AWS S3 Athena Glue Redshift or equivalent on Azure/GCP)
- Experience with Databricks or other distributed data processing platforms
- Strong programming skills in Python Spark SQL
- Experience with data processing frameworks and automation
- Knowledge of Agile methodologies (Scrum Kanban)
- Experience with CI/CD tools (Azure DevOps GitLab Jenkins etc.)
- Knowledge of data preparation or orchestration tools (e.g. Dataiku Airflow)
- Relevant cloud certifications are a strong asset
Good-to-have
- Experience in the utilities energy or finance industries
- Familiarity with systems such as CRM or ERP solutions (e.g. Salesforce SAP)
- Experience with Agile project management tools (Azure DevOps Jira)
- Understanding of financial reporting processes
- Additional cloud certifications (Architect SysAdmin)
Soft Skills
- Strong team player with excellent communication abilities
- Able to explain complex technical concepts to non-technical audiences
- Comfortable working in multicultural and cross-functional environments
- Adaptable to evolving technologies and changing business needs
- Strong organizational skills and attention to detail
Education & Professional Background
- Bachelors or Masters degree
- 710 years of experience as a Data Engineer or similar technical role
Languages
- Fluent in French & English
- Dutch is a strong plus
Additional Information :
All our positions are open to people with disabilities
Remote Work :
No
Employment Type :
Full-time
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