Lead Engineer

This is an exceptional opportunity for a Senior Engineer to significantly contribute to our growth by helping us scale our delivery demands. As a key member of our Technology & Engineering team, you will be instrumental in leading, designing, developing, and deploying robust and scalable data solutions. You will work in close collaboration with various teams in Mumbai and London, taking ownership of outputs and thriving in a high-autonomy environment focused on product delivery and data excellence. Key Responsibilities The successful Lead Engineer will play a vital role in: Lead and mentor a team of engineers, fostering a culture of collaboration and continuous improvement. Oversee the planning and execution of projects, ensuring alignment with business objectives and timelines. Provide technical guidance and expertise to the team, promoting best practices in engineering. Implement and maintain ELT (Extract, Load, Transform) processes using scalable pipelines and data architecture. Collaborate with cross-functional teams to understand 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. 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 patterns and trends. Identify opportunities for process improvement and drive continuous improvement in operations. Stay updated on industry trends, technologies, and best practices in engineering. Opportunity This role offers an excellent platform for experienced engineers to take their career to the next level. You will have the opportunity to make a significant impact on our product roadmap, contribute to scaling our technical capabilities, and work in a dynamic environment that values innovation and continuous learning. About You The ideal candidate will have a proven track record in engineering, demonstrating strong technical leadership skills and a passion for building high-quality, scalable products. Excellent teamwork, adaptability, and a strategic mindset are essential to being successful in this role. The Ideal Candidate 5+ years of professional experience in engineering or full-stack software engineering with a strong data focus. Proven experience in leading or mentoring junior engineers. Expertise in designing, implementing, and maintaining scalable ELT processes and pipelines . Strong proficiency in programming languages commonly used in engineering, such as Python or Java . Extensive experience with database systems, including SQL and NoSQL databases. In-depth knowledge of cloud data platforms like AWS or Azure (e.g., S3, Redshift, Glue, Data Factory, Azure Synapse, etc.). Experience with CI/CD practices for data solutions. Strong understanding of Data Structures & Algorithms (DS&A) applied to large datasets. Proven ability to take ownership over outputs and drive complex data projects to completion. Highly adaptable and comfortable working in ambiguous, problem-solving environments . Strong evidence of teamwork and successful cross-functional delivery , particularly with Data Science, Analytics, and ML teams. Exposure to high-autonomy environments and a clear understanding of product delivery cycles for data products. Excellent communication, leadership, and collaboration skills.