【Leading EC】Data Science Manager

A leading corperate is seeking a Data Science Manager to shape the future of data-driven marketing and e-commerce.

This is an exceptional opportunity for you to design and implement Customer Data Platform architectures, integrating diverse data sources to deliver seamless, personalised customer experiences. You will be leading both data scientists and data engineers.

Key responsibilities:

• Design comprehensive CDP architectures and develop scalable data models that integrate multiple internal and external data sources to support marketing automation initiatives.
• Build, optimise, and maintain high-performance data pipelines using both real-time streaming technologies like Kafka or Flink and batch processing frameworks such as Airflow for various e-commerce scenarios.
• Develop robust and scalable data lakes or warehouses utilising technologies like Delta Lake or Snowflake to ensure low latency and high throughput for analytics workloads.
• Collaborate closely with cross-functional teams including data scientists, marketers, and product managers to deliver impactful data-driven solutions that enhance customer experience.
• Implement rigorous data governance practices to ensure compliance with relevant privacy regulations while maintaining high standards of data quality.
• Monitor system performance proactively and troubleshoot issues within the data infrastructure to guarantee reliability and efficiency in all processes.
• Lead efforts in optimising existing analytics workflows or pipelines to improve system efficiency and drive measurable improvements in key business metrics.
• Stay up-to-date with emerging trends in big data engineering, cloud computing, and e-commerce analytics to continuously enhance the organisation’s capabilities.
• Mentor junior team members by sharing knowledge on best practices in data engineering, pipeline optimisation, and privacy compliance.
• Document architectural decisions, workflow processes, and compliance measures clearly for both technical stakeholders and non-technical partners.

Candidate profile:

• Bachelor’s degree in Computer Science, Engineering, Mathematics or related field; an advanced degree is highly desirable for deeper technical leadership.
• At least 8 years’ proven experience in big data engineering or large-scale processing environments with direct exposure to e-commerce use cases.
• Proficiency in programming languages such as Python, Java or Scala combined with hands-on expertise in Apache Spark for distributed computing tasks.
• Demonstrated ability to build real-time streaming applications using Kafka or Flink as well as manage batch workflows via Airflow.
• Extensive experience architecting scalable cloud-based solutions on AWS, GCP or Azure including deployment of modern data lake/warehouse platforms like Delta Lake or BigQuery.
• Track record of implementing robust data governance frameworks ensuring full compliance with GDPR, CCPA or similar privacy standards within complex organisations.
• Practical knowledge of CI/CD methodologies applied to big data engineering projects for streamlined development cycles.
• Demonstrable success optimising analytics pipelines or workflows resulting in tangible improvements to system performance or business KPIs.

About the company:

This organisation stands out as a leader in digital transformation within the EC sector by investing heavily in advanced technology stacks that empower employees at every level. As part of this team you’ll enjoy access to industry-leading tools plus the chance to contribute meaningfully towards shaping customer experiences at scale—all within a nurturing environment that values knowledge sharing and collective achievement above all else.

Keywords: Data Science, Data Engineering, Data Architecture, E-Commerce Data Solutions, Data Lakes and Warehouses, Cross-functional Collaboration, Data Governance, Privacy Compliance

What's next:

If you are ready to take your career further by joining a collaborative team where your expertise can truly make an impact on digital transformation initiatives—this is your moment!

Apply today by clicking on the link below—your next exciting challenge awaits!