[Hiring] Data Engineer @24-MAG

Role Description

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.

Key Responsibilities

• 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

Qualifications

• 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

Requirements

• Full-time engagement
• Fully remote
• Compensation: $140,000–$180,000/year
• 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