About the role
At Serko, we are looking for a Senior Data Engineer with a strong background in data engineering to help shape and scale our modern data platform.
This is a high-impact role where you'll work across ingestion, transformation, orchestration, and data quality to ensure reliable, secure, and high-performing data solutions that support teams across the business.
Responsibilities:
- Collaborate with architects and principal engineers to design scalable and resilient data solutions as part of a team of five.
- Build, maintain, and optimize data pipelines across batch and streaming workloads.
- Leverage agentic delivery practices to deliver data outcomes with high velocity and high quality.
- Coordinate with Platform, Architecture, and Security teams to ensure data platform solutions are designed for performance, security, durability, and scalability.
- Develop robust data models using dbt and orchestrate workflows via both Azure and Google Cloud.
- Manage and enhance our cloud data warehouses on Snowflake and BigQuery.
- Ensure best practices in data governance, cataloguing, observability, and security.
- Write clean and efficient code in dbt, SQL, Python, and PowerShell.
- Improve existing complex SQL, PowerShell, and Python used in both SQL-based and non-SQL-based OLTP and OLAP systems.
- Work closely with cross-functional teams to deliver impactful data products.
- Participate in a light rotating on-call schedule (approximately one week per month).
Requirements:
- 5 to 9 years of experience in data engineering.
- Deep understanding of data warehouses, data lakes, and modern data engineering, and the ability to communicate it.
- Practical experience working in an agile development environment and familiarity with DevOps culture.
- Hands-on expertise with Snowflake (or equivalent modern cloud DWH).
- Advanced skills in SQL and experience using dbt.
- Familiarity with data governance and metadata management.
- Experience with Data Vault 2.0 or NoSQL technologies (e. g., MongoDB, Cosmos DB) is a plus.
- Comfortable working across teams and translating business needs into scalable data solutions.
- Passion for clean, scalable, secure, and performant data solutions.
- Strong communication and collaboration skills, solution-focused mindset.
- A growth mindset and openness to feedback.