Senior Data Engineer

• Design and implement scalable data integration pipelines using Python and Spark to process large-scale batch data for a diverse global client base.
• Manage project workloads and capacity planning while serving as a technical escalation point to ensure the seamless delivery of high-quality data solutions.
• Partner with internal stakeholders and external clients to gather requirements, provide technical recommendations, and maintain comprehensive documentation for all data workflows.

• At least 4 years of professional experience in data engineering or a closely related technical role.
• Proven technical expertise using Python, Spark, and cloud-based platforms, ideally within a Microsoft Azure or Databricks environment.
• Demonstrated experience managing client-facing projects, including handling technical escalations and performing root cause analysis.
• Strong understanding of ETL processes and a track record of delivering complex technical projects within established deadlines.

Good to Have

• Previous experience working with consumer data or collaborating with external data agencies.
• A proactive interest in the application of AI and Machine Learning technologies.
• Experience developing or maintaining real-time data pipelines.

This is an exceptional time to join a collaborative and forward-thinking team where you will have direct exposure to major corporate initiatives and global brands. The role offers a perfect balance of technical challenge and leadership responsibility within a flexible working environment. With a competitive package and a comprehensive onboarding programme in place, now is the ideal moment to accelerate your career in a business that is consistently innovating.