Data Engineer

Working as a data engineer in a forward-thinking energy technology company where you will develop scalable data platforms, engineering solutions, and analytics capabilities that drive operational efficiency, enhance energy performance, and support the transition to a more sustainable energy future.

Responsibilities

• Design, develop, and maintain scalable data pipelines for ingesting, processing, and transforming smart meter, IoT, sensor, operational, weather, market, and time-series energy datasets.

• Build and optimize ETL/ELT workflows to ensure reliable, high-quality data is available for analytics, machine learning, forecasting, and operational decision-making.

• Develop cloud-based data architectures and storage solutions that support large-scale energy data processing and analytics workloads.

• Implement data preprocessing, feature engineering, and data quality frameworks to support predictive maintenance, energy demand forecasting, renewable energy optimization, and anomaly detection initiatives.

• Design and maintain data models, data warehouses, and analytics datasets to improve accessibility, performance, and scalability.

Your Profile

• 2–5+ years of experience in Data Engineering, Analytics Engineering, Data Platforms, or a related field.

• Strong programming skills in Python and experience with data processing libraries such as Pandas, NumPy, and PySpark.

• Strong SQL skills and experience working with large-scale datasets and data warehousing solutions.

• Experience building and maintaining ETL/ELT pipelines and modern data architectures.

• Knowledge of time-series data processing, IoT data, sensor data, or industrial datasets.

• Experience with cloud platforms such as AWS, Azure, or GCP.

• Familiarity with data orchestration and workflow management tools such as Airflow, Azure Data Factory, Prefect, or similar.

The Offer

• Hybrid working setup with offices located in Ghent.

• Opportunity to build the data infrastructure powering innovative solutions that accelerate the energy transition and support sustainability goals.

• Strong emphasis on technical development, cloud technologies, data engineering best practices, and modern analytics platforms.

• Competitive salary package of up to €6,000 depending on experience and interview performance.

• Company car or mobility budget included.

• 13+ ADV days.

• Clear pathways for progression into Senior Data Engineer, Lead Data Engineer, Data Architect, or Data Platform Leadership positions.

• Collaborative and mission-driven team focused on building the next generation of sustainable energy solutions.

If this opportunity excites you, apply today or send your CV and a short cover letter to [email protected].