Principal Data Engineer

About Fospha: 

Fospha is the marketing measurement platform for eCommerce brands. We have found product/market fit in the last two years and quickly become a market leader for measurement with numerous awards and rocket-ship growth to match. We are the only business of our type to be a certified partner of Meta, TikTok and Snap, and have worked with our customers -some of the best-known eCommerce brands in the world to drive massive growth and value. We are now expanding globally and are looking for excellent candidates to join the next phase of our journey. 

Key Responsibilities:

• Lead and mentor a team of data engineers, fostering a culture of collaboration and continuous improvement.
• Oversee the planning and execution of data projects, ensuring alignment with business objectives and timelines.
• Provide technical guidance and expertise to the team, promoting best practices in data engineering.
• Implement and maintain ELT (Extract, Load, Transform) processes using scalable data pipelines and data architecture.
• Collaborate with cross-functional teams to understand data requirements and deliver effective solutions.
• Ensure data integrity and quality across various data sources.
  Support data-driven decision-making by providing clean, reliable, and timely data.
• Define the standards for high-quality data for Data Science and Analytics use-cases and help shape the data roadmap for the domain.
• Design, develop, and maintain the data models used by ML Engineers, Data Analysts and Data Scientists to access data.
• Conduct exploratory data analysis to uncover data patterns and trends.
• Identify opportunities for process improvement and drive continuous improvement in data operations.
• Stay updated on industry trends, technologies, and best practices in data engineering.

About You:

• The ideal candidate will have a track-record in delivering results in a fast-moving business and hence be comfortable with change and uncertainty

Required:

• Prior experience of leading a team - responsible for the final tech sign off
• Excellent knowledge of PostgreSQL and SQL technologies.
• Fluent in Python programming.
• Understanding of data architecture, pipelines and ELT flows/ technology/ methodologies.
• Understanding of agile methodologies and practices.

Preferred:

• Experience using dbt (Data Build Tool).
• Experience using pipeline technologies within AWS.
• Knowledge of data modelling and statistics.

Education Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

What we can offer you

• Work from office 4 days a week.
• Be exposed to the right mix of challenges, within a culture that promotes continuous learning and development and opportunity to work with Gen AI
• 24 days of annual leave, 1 Birthday leave, 6 floater leave and 4 public holiday days, maternity and paternity leaves.
• Private medical for you and your immediate family.