Spontaneous Application - Senior Data Engineer
Role details
Job location
Tech stack
Job description
Company Description
Everience is an international consulting group delivering AI-augmented digital services and placing people at the heart of the AI revolution.
With a presence in Europe, Africa, Asia and America, Everience offers its 4,000-strong workforce the most demanding and stimulating environment in which to transform and develop their skills, learning about new AI-based roles and building their future employability.
Through its Symbiotic Academy the group offers a unique hub for training, practical application and exchange where everyone can experiment, learn, and progress in the fields of artificial intelligence and data.
In accordance with its core purpose of orchestrating the symbiotic relationship between humans and AI in the workplace, Everience is making the augmented employee the driving force of a "symbiotic age", where AI enhances talents and opens up new career opportunities.
Job Description
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 solutions. In 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
- Bachelor's or Master's degree
- 7-10 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
Requirements
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
- Bachelor's or Master's degree
- 7-10 years of experience as a Data Engineer or similar technical role
Languages
- Fluent in French & English
- Dutch is a strong plus
