EM - Backend / Data Engineer

We are looking for an experienced Backend Engineering Manager with a strong background in Java-based backend engineering and experience leading teams that build and scale data-intensive products and platforms.

The ideal candidate should have a strong understanding of backend architecture, data architecture, data pipelines, data processing, data integration, and large-scale distributed systems.

Responsibilities:

• Lead, mentor, and manage backend engineering teams responsible for building scalable applications and data-intensive platforms.
• Drive backend architecture, technical design, and implementation using Java, Spring Boot, and microservices.
• Oversee the design and development of scalable data pipelines, data processing frameworks, and data integration solutions.
• Provide technical leadership in data architecture, data modelling, and distributed systems.
• Drive the development of high-performance, reliable, and scalable backend services.
• Work closely with Product, Data Engineering, Architecture, and other cross-functional teams.
• Ensure best practices around coding standards, system design, performance optimisation, security, and engineering quality.
• Lead technical discussions, architecture reviews, and design decisions.
• Manage delivery timelines, resource planning, and engineering execution.
• Build a strong engineering culture focused on innovation, ownership, and continuous improvement.

Requirements:

• 12-18 Years of experience (indicative).
• Strong experience in Java, Spring Boot, REST APIs, and Microservices Architecture.
• Experience designing and building large-scale backend applications and distributed systems.
• Good understanding of data architecture, data processing, data pipelines, and data integration.
• Experience working on data-intensive applications, data platforms, or Customer Data Platforms (CDP).
• Understanding of ETL/ELT processes and large-scale data processing.
• Exposure to technologies such as Kafka, Spark, Flink, Hadoop, or similar data technologies.
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Strong understanding of database technologies, data modelling, and system performance optimisation.
• Proven experience managing and leading backend engineering teams.
• Ability to drive architecture and technical strategy.
• Strong stakeholder management and cross-functional collaboration skills.
• Experience mentoring senior engineers and technical leads.
• Ability to balance hands-on technical guidance with people and delivery management.
• Experience building data-intensive products or enterprise data platforms.
• Exposure to Customer Data Platforms (CDP), customer data integration, or real-time data processing.
• Experience handling high-volume data and distributed processing systems.
• Experience designing scalable, event-driven architectures.

Skills

Data, Java