Senior data engineer & AI

Our Ideal Candidate:

• Strong data engineering experience with hands-on delivery of scalable data pipelines, data products, and analytics foundations
• Advanced SQL skills with the ability to design performant queries, data models, and transformation logic
• Hands-on knowledge of Python and PySpark for large-scale data processing and automation
• Curious, hands-on problem solver who can engage with business stakeholders to understand the real requirement and deliver practical outcomes
• Comfortable moving between rapid prototyping and production-grade data engineering based on business need
• Experience enabling visualization, BI, AI/ML, or advanced analytics through trusted and well-governed data foundations
• Familiarity with cloud data platforms, orchestration tools, and distributed data processing patterns
• Strong ownership mindset and ability to work effectively across teams

Required Skills/Experience:

• MS or BS in a Computer Science or a science/engineering discipline.

• More than 6 years of experience in data engineering, analytics engineering, or data platform delivery

• Strong proficiency in SQL, Python, and PySpark is required

• Experience designing and operating ETL/ELT pipelines, orchestration workflows, data quality checks, and production data products

• Experience with cloud data platforms, distributed processing, data modelling, and analytics/BI consumption patterns

• Exposure to AI/ML engineering practices, feature pipelines, model productionization, LLM-based applications, or agentic AI patterns will be considered an advantage

• Experience with DevOps and DataOps practices, including CI/CD, monitoring, observability, and incident support