Data Scientist OR Data Engineer

Appsierra Group; Brussel; Sur place; EUR 60 000 - 90 000; Plein temps

Résumé du poste

Appsierra Group in Brussels seeks a skilled Data Engineer to design, develop and maintain scalable data pipelines on Azure and Databricks. You will collect, transform, and integrate data from multiple sources and ensure governance across the platform.

You will enable AI-ready analytics, build datasets for grid studies, and collaborate with stakeholders to translate data needs into solutions. Strong Python, SQL, and data processing knowledge are essential.

Qualifications

• Fluent in Python with proven project experience.
• Knowledge of R (data.table) is a strong asset.
• Fluent with advanced Excel features and VBA.
• Advanced knowledge of SQL and data access frameworks.
• Knowledge of Databricks, Azure and PySpark is required.
• Good understanding of scalable and distributed data processing.
• Ability to develop and maintain data pipelines and analytical datasets.
• Experience building dashboards and reporting with Power BI or Streamlit.
• Familiarity with AI/ML concepts and AI-enabled data solutions is an asset.
• Experience with Git and collaborative software development practices.

Responsabilités

• Design, develop and maintain scalable data pipelines on Azure and Databricks.
• Collect, transform and integrate data from multiple internal and external sources.
• Ensure data quality, consistency, traceability and governance across the data platform.
• Manage and optimize Azure Data Lake, Databricks workspaces and distributed data processing environments.
• Develop data models and datasets to support grid studies, scenario management and business analytics.
• Enable and support AI, Machine Learning and advanced analytics use cases by providing trusted and well-governed datasets.
• Explore and implement AI-driven solutions to improve data quality, automate processes and enhance decision-making.
• Implement monitoring, automation and performance optimization of data workflows.
• Collaborate with business stakeholders to translate data requirements into technical and AI-enabled solutions.
• Maintain technical documentation in Markdown and Confluence.

Connaissances

Python

R

SQL

Databricks

Azure

Power BI

Streamlit

Git

Data governance

KPI monitoring

Excel

VBA

Formation

Bachelor's degree in IT/Computer Science/Data Engineering

Master's degree is a plus

Outils

Confluence

Markdown

Description du poste

• Design, develop and maintain scalable data pipelines on Azure and Databricks.

• Collect, transform and integrate data from multiple internal and external sources.

• Ensure data quality, consistency, traceability and governance across the data platform.

• Manage and optimize Azure Data Lake, Databricks workspaces and distributed data processing environments.

• Develop data models and datasets to support grid studies, scenario management and business analytics.

• Enable and support AI, Machine Learning and advanced analytics use cases by providing trusted and well-governed datasets.

• Explore and implement AI-driven solutions to improve data quality, automate processes and enhance decision-making.

• Implement monitoring, automation and performance optimization of data workflows.

• Collaborate with business stakeholders to translate data requirements into technical and AI-enabled solutions.

• Maintain technical documentation in Markdown and Confluence.

Requirements

• Fluent in Python (Pandas, Polars) with proven project experience.

• Knowledge of R (particularly data.table) is considered as a strong asset.

• Fluent with advanced Excel features and VBA.

• Advanced knowledge of SQL and data access frameworks.

• Knowledge of outscaling technologies (e.g., Databricks, Azure, PySpark) is required.

• Good understanding of scalable and distributed data processing.

• Ability to develop and maintain data pipelines, analytical datasets, and data products.

• Experience building dashboards and reporting solutions using Power BI or Streamlit.

• Ability to transform complex data into actionable insights and KPI monitoring tools.

• Familiarity with AI/ML concepts and AI-enabled data solutions is an asset.

• Experience with Git and collaborative software development practices.

• Strong focus on code quality, maintainability, and knowledge sharing.

• Experience documenting solutions using Markdown and Confluence.

• Prior experience in the energy sector, power systems, or grid planning is a strong plus.

• Bachelor's degree in IT, Computer Science, Data Engineering, or equivalent experience; Master's degree is a plus.

• Fluent in English; knowledge of Dutch and/or French is a strong advantage.