Senior 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 seeking a highly skilled and experienced Senior Data Engineer to join our growing Data Engineering team. This role is ideal for someone who thrives on building scalable, secure, and high-performance data systems that power analytics, machine learning, and operational intelligence. You’ll play a critical role in designing and implementing modern data infrastructure, driving best practices, and mentoring junior engineers.

Requirements

• 5+ years of hands-on experience in Data Engineering, with a strong track record of delivering complex Data solutions.
• Deep expertise in Cloud-native Data Platforms.
• Strong understanding of OLTP, OLAP, and Timeseries DB architectures.
• Proficiency in building Data Pipelines using Spark, Kafka, Flink, Airflow, and DBT.
• Advanced SQL and Python skills, with experience in distributed computing and performance tuning.
• Experience with observability tools and practices.
• Solid grasp of Data Security protocols, encryption standards, and access control mechanisms.
• Strong communication and collaboration skills, with the ability to work across teams and influence technical direction.
• Experience with Data Cataloguing and Metadata Management tools
• Background in supporting AI/ML applications with robust data infrastructure.

What will you do

• Design, build, and maintain robust data pipelines for batch and real-time processing across cloud platforms (Azure, AWS, GCP).
• Architect scalable data warehousing solutions using Snowflake, Amazon Redshift, and Azure Synapse Analytics.
• Implement data segregation, de-duplication, cleanup, and persistence strategies to ensure high-quality, reliable datasets.
• Integrate OLTP, OLAP, and Timeseries DB systems into unified data platforms for analytics and operational use.
• Ensure secure and efficient data exposure for downstream consumers including BI, analytics, and ML Ops workflows.
• Collaborate with DevOps and SRE teams to implement logging, metrics, observability, and distributed tracing across data systems.
• Optimize data infrastructure for scalability, performance, and reliability under high-volume workloads.
• Contribute to data governance, security, and compliance initiatives (e.g., GDPR, HIPAA, SOC 2).
• Evaluate and integrate emerging technologies to enhance data capabilities and system resilience.
• Mentor junior engineers and contribute to technical leadership within the team.
• Comfortable with agile processes and rotating on-call duty.

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.