Engineering Manager- Data Engineering

Serko is a cutting-edge tech platform in global business travel expense technology When you join Serko you become part of a team of passionate travellers and technologists bringing people together using the world s leading business travel marketplace We are proud to be an equal opportunity employer we embrace the richness of diversity showing up authentically to create a positive impact There s an exciting road ahead of us where travel needs real impactful change With offices in New Zealand Australia North America and China we are thrilled to be expanding our global footprint landing our new hub in Bengaluru India With a rapid growth plan in place for India we re hiring people from different backgrounds experiences abilities and perspectives to help us build a world-class team and product We re seeking a visionary and technically adept Engineering Manager to lead our Data Engineering team out of Bengaluru This role is ideal for someone who thrives at the intersection of strategy architecture and execution someone who can architect scalable data solutions while mentoring a high-performing team You ll be responsible for building and optimizing data pipelines ensuring data integrity and security and enabling advanced analytics and ML capabilities across the organization Requirements 10 years of experience in Data Engineering with at least 3 years in a leadership or managerial role Has prior experience in leading and growing a team of talented data engineers fostering a culture of innovation ownership and continuous improvement Architected and implemented robust data platforms using modern cloud technologies Azure AWS GCP Maintained robust Data Warehousing solutions using Snowflake Amazon Redshift and Azure Synapse Analytics Overseen the design and development of scalable data warehousing solutions and real-time data streaming pipelines Driven initiatives around data segregation de-duplication cleanup and persistence to ensure high-quality reliable datasets Collaborated with cross-functional teams to expose data securely and efficiently for analytics reporting and ML Ops Championed best practices in data security governance and compliance across all data systems Evaluated and integrated emerging technologies to enhance data infrastructure and performance Established and monitored KPIs for data engineering operations ensuring alignment with business goals Has strong command of data warehousing ETL ELT pipelines and real-time data streaming Kafka Spark Streaming Flink Proven experience with data modelling data segregation strategies and data lifecycle management Hands-on knowledge of data security protocols encryption standards and compliance frameworks GDPR HIPAA SOC 2 Familiarity with ML Ops workflows and tools e g ML Flow Kubeflow SageMaker Vertex AI Proficiency in T-SQL SQL Expertise and Query Optimization Python and distributed computing frameworks Exposure or Experience with any Marketing Technology platforms HubSpot Braze Has a background in building data platforms for AI ML applications AI LLM Based Data Retrieval AI RAG Excellent communication and stakeholder management skills Benefits At Serko we aim to create a place where people can come and do their best work This means you ll be operating in an environment with great tools and support to enable you to perform at the highest level of your abilities producing high-quality and delivering innovative and efficient results Our people are fully engaged continuously improving and encouraged to make an impact Some of the benefits of working at Serko are A competitive base pay Medical Benefits Discretionary incentive plan based on individual and company performance Focus on development Access to a learning development platform and opportunity for you to own your career pathways Flexible work policy