Description
**Location:** Brussels, Belgium**Duration:** April 2024 to December 2024 with a possibility of extension into 2025
**Introduction:**
Join a leading global energy and services group committed to accelerating the transition towards a carbon-neutral world. We are seeking a talented individual with a unique blend of data engineering and data science skills to play a pivotal role in transforming our approach to forecasting customer portfolio and energy demand evolution.
**Role Summary:**
The Data Engineer/Scientist will be instrumental in translating business requirements into data-driven solutions, implementing robust data processing models, and leading the transition to advanced data analysis methodologies. This role offers the opportunity to work closely with cross-functional teams, ensuring data processes are efficient and deliver insightful information to drive business decisions.
**Key Responsibilities:**
- Collaborate with stakeholders to transform business requirements into actionable data solutions.
- Design and implement data processing models using Python, PySpark, SQL, AWS stack, Databricks, and Dataiku.
- Develop data visualization and analytics applications to provide insights and enhance business user interaction.
- Transition from Excel-based processes to sophisticated data analysis methodologies, focusing on scalability and reliability.
- Ensure data accuracy, quality, and consistency throughout its lifecycle.
- Optimize data storage, processing, and retrieval systems for efficiency and cost-effectiveness.
- Work with data infrastructure engineers to ensure development scalability, security, and performance.
- Maintain comprehensive documentation for data processes, pipelines, and architectures.
- Uphold data engineering best practices, including code versioning, data quality checks, and automated pipelines.
**Must-Have Skills:**
- Extensive experience in a similar Data Engineer/Data Scientist role.
- Proficiency in Python, PySpark, SQL.
- Experience with Databricks and cloud environments (AWS, Azure).
- Competency in data visualization tools (Dash, Plotly, Streamlit, Bokeh, etc.).
**Added Value Skills:**
- Experience with Dataiku or similar data science platforms.
- Familiarity with the utilities industry.
**Nice-to-Have Skills:**
- Knowledge of Azure DevOps.
- Understanding of data warehousing and data modeling (Kimball, DataVault).
**Soft Skills:**
- Strong team player with excellent communication skills.
- Adaptability to evolving technologies and project requirements.
- Proven organizational skills and meticulous attention to detail.
**Educational and Professional Requirements:**
- Bachelor's or Master's degree.
- 5+ years of experience in data science or data engineering.
**Language Requirements:**
- Fluency in Dutch or French.
- Proficiency in English.
**Application Process:**
Interested candidates are invited to submit their application, including a resume and a cover letter outlining their suitability for the role.
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**Screening Questions:**
1. Can you provide examples of how you've translated business requirements into data-driven solutions?
2. Describe your experience with Python, PySpark, and SQL in data processing and modeling.
3. How have you ensured data quality and consistency in your previous roles?
4. Explain your experience with cloud environments, particularly AWS and Azure.
5. Discuss your experience with data visualization tools and how you've used them to communicate insights to business users.
This job description is designed to attract top-tier candidates by highlighting the critical skills and experience required for the role while maintaining confidentiality about the client.