Staff Data Engineer

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 looking for a highly experienced and technically exceptional Staff Data Engineer to join our Data Engineering team out of Bengaluru. This role is ideal for someone who thrives on solving complex data challenges, architecting scalable systems, and mentoring engineers. You’ll be at the forefront of designing and implementing cutting-edge data infrastructure that powers analytics, machine learning, and business intelligence across the organization.

Requirements

Requirements

·       Strong knowledge of Big Data, OLTP, OLAP, and Time Series DB architectures and use cases.

·       Proficiency in building and managing data pipelines using tools like Apache Spark, Kafka, Flink, Airflow, and DBT.

·       Advanced SQL and Python skills, with experience in distributed computing and performance optimization.

·       Experience implementing data security protocols, encryption standards, and access control mechanisms.

·       Strong understanding of Data Modelling, Metadata Management, and Data Cataloguing Tools

·       Experience with time-series data platforms (e.g., Influx DB, Timescale DB, Prometheus).

·       Background in supporting AI / ML applications with robust data infrastructure.

·       Has a background in building data platforms for AI / ML applications, AI LLM Based Data Retrieval, AI RAG

·       Familiarity with ML Ops platforms and workflows (e.g., ML Flow, Kubeflow, SageMaker, Vertex AI).

·       Proficiency in T-SQL, SQL Expertise and Query Optimization, Python, and distributed computing frameworks.

·       Excellent communication and collaboration skills, with the ability to influence technical direction across teams.

What will you do

·   Architect and lead the development of scalable, secure, and high-performance data platforms across cloud environments (Azure, AWS, GCP).

·   Design and optimize data pipelines for batch and real-time processing, including ingestion, transformation, and delivery.

·   Implement and maintain robust data warehousing solutions using Snowflake, Amazon Redshift, and Azure Synapse Analytics.

·   Drive initiatives around data segregation, de-duplication, cleanup, persistence, and lifecycle management.

·   Ensure data is organized, exposed, and secured effectively for downstream analytics, reporting, and ML workflows.

·   Collaborate with cross-functional teams to integrate OLTP, OLAP, and Timeseries DB systems into unified data platforms.

·   Champion best practices in data governance, security, and compliance (e.g., GDPR, HIPAA, SOC 2).

·   Lead technical evaluations of emerging tools and technologies in the data ecosystem.

·   Mentor junior engineers and contribute to the technical growth of the team.

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