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.
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 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.