We are seeking a talented Data Engineer to join our dynamic team. This role offers the opportunity to work with cutting-edge technologies and contribute to innovative projects focused on AI and sustainability.

Responsibilities

• Design and maintain scalable, automated data pipelines for various data types.
• Transform, clean, and enrich data for machine learning and AI model training.
• Collaborate with cross-functional teams to align data requirements with business goals.
• Enhance data quality, observability, and lineage tracking for sustainability data assets.
• Optimize performance and scalability using AWS technologies such as S3, Glue, and Lambda.
• Support machine learning workflows through reproducible data ingestion and feature engineering.

Skills

• 3+ years of experience as a Data Engineer or Machine Learning Data Engineer.
• Strong proficiency in Python and SQL for data manipulation and automation.
• Experience with data pipeline frameworks like Apache Airflow, Spark, or AWS Glue.
• High-level understanding of common machine learning and AI techniques.
• Knowledge of data quality, observability, and governance frameworks.
• Familiarity with AWS services or other cloud service providers for data processing and analytics.

Preferred Skills

• Experience preparing datasets for machine learning or AI models.
• Familiarity with geospatial, environmental, or sustainability datasets.
• Demonstrated passion for AI, sustainability, or environmental impact work.

We believe in fostering a diverse and inclusive workplace where everyone feels valued and empowered. We encourage individuals from all backgrounds to apply and contribute to our mission.

Once you apply for this position, you may receive a phone call, SMS or email at the time of application from our Virtual AI Recruiter, Alex, to conduct an initial interview.