Remote

We are sharing a full-time opportunity for an experienced Data Engineer with strong expertise in Python, SQL, ETL pipelines, data modelling, exploratory data analysis, and scalable data-processing workflows to support research, analytics, and AI/ML initiatives. The role focuses on transforming structured and unstructured information into reliable, production-quality datasets. The successful candidate will build scalable data pipelines, improve data quality and validation, optimise SQL and processing workflows, and collaborate with researchers, data scientists, and engineers., Data Pipelines & Processing

• Design, build, and maintain scalable ETL pipelines
• Collect, clean, normalise, and transform structured and unstructured data
• Automate recurring processing workflows
• Monitor pipeline performance and troubleshoot failures
• Improve efficiency, scalability, and maintainability

SQL, Databases & Data Modelling

• Write and optimise SQL queries for extraction and transformation
• Work with relational databases such as PostgreSQL and MySQL
• Design and maintain schemas and data models
• Improve query performance and data-access patterns
• Support scalable and reliable data-storage architectures

Data Quality & Analysis

• Conduct exploratory data analysis to identify patterns, anomalies, and quality issues
• Build automated validation and quality-control workflows
• Monitor accuracy, completeness, integrity, and consistency
• Investigate data issues and implement corrective actions
• Produce clear analytical summaries for technical stakeholders

Python & AI/ML Data Support

• Build processing workflows using Python, Pandas, and NumPy
• Develop reusable components for transformation and analysis
• Prepare datasets for AI and machine-learning initiatives
• Collaborate with researchers and data scientists on data requirements
• Support reliable training, evaluation, and experimentation workflows, * Work will involve Python, SQL, ETL, exploratory data analysis, database design, data modelling, validation, automation, and AI/ML dataset preparation
• Responsibilities may involve both structured and unstructured data
• Regular collaboration with researchers, data scientists, and engineering teams is expected
• Project scope, data sources, and technical requirements may evolve based on business and research needs
• Work must be completed without using confidential, proprietary, regulated, client-identifiable, restricted-access, or otherwise protected information belonging to any employer, client, research institution, data provider, or other third party

About the Platform This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams. By submitting this application, you acknowledge that your information may be processed by 24-MAG LLC for recruitment and opportunity matching in accordance with our Privacy Policy

• Strong proficiency in Python and SQL
• Hands-on experience designing and maintaining ETL pipelines
• Experience with exploratory data analysis
• Proficiency with Pandas and NumPy
• Experience with PostgreSQL, MySQL, or comparable relational databases
• Strong understanding of data modelling and database schemas
• Experience with structured and unstructured datasets
• Strong focus on data quality, integrity, and reliability
• Strong analytical and problem-solving skills
• Experience collaborating with researchers, data scientists, or engineering teams
• Familiarity with Jupyter Notebook, VS Code, PyCharm, or similar tools
• Exposure to AI/ML workflows is advantageous
• Familiarity with scikit-learn, Hugging Face Transformers, or AI APIs is beneficial

Engagement Details

• Full-time engagement
• Fully remote